#Embedded Software Validation

[bermondseysblog]

Embedded Software Testing | Bermondsey Electronics Limited

Trust Bermondsey Electronics for Embedded Testing, Software Verification, and Systems Validation. Ensure excellence and reliability in every solution we provide.

[gqattech]

Boost Device Performance with Professional Firmware Testing at GQAT Tech

What is Firmware Testing & Why It’s Crucial for Smart Devices

In today's connected world, everything you use from your smartwatch to your smart TV runs on firmware; firmware is low-level software that operates hardware. So what happens when the firmware does not perform as it should? Devices crash, user experience drops, and businesses suffer—this is why firmware testing has become such a significant component of the quality assurance (QA) process.

At GQAT Tech, we perform firmware testing with intelligence using a combination of real hardware environments and automation to verify that every device operates exactly as intended. In this article, we will explore firmware testing, why it matters, and how GQAT Tech empowers you to deliver bug-free, top-performing smart products.

What is Firmware?

Firmware is a class of software that is permanently burned into a hardware item to complete the basic function and potentially further functions of that hardware item.

You’ll find firmware in:

Smartphones

IoT devices

Printers

Wearables

Routers

Smart home appliances

Firmware is unlike software in that it is not intended for frequent updates. Because of that, if there is a bug or unsafe code in the firmware, it may impact the firmware's intent or may compromise the entire device.

What is Firmware Testing?

Firmware testing is the validation and verification to check that the firmware behaves correctly when interacting with hardware and the other components in the system.

The key areas of testing firmware will include:

Functionality – Does the firmware do what it is intended to do?

Stability – Does it crash?

Performance – Is it efficient? Is it quick?

Security –  Is it safe? Does it protect itself from unauthorized use or firmware-level attacks?

Testing firmware is more complicated than testing a software product due to the integration of hardware and software, so it's where GQAT Tech can provide its value here.

Why Firmware Testing is Important

Here’s why skipping firmware testing can lead to serious problems:

Device Failures – Bugs in firmware can crash your entire device.

Security Risks – Weak firmware can open doors to hackers.

Unstable Performance – Devices may freeze, restart, or act unexpectedly.

Poor User Experience – Customers won’t tolerate devices that don’t work properly.

Costly Product Recalls – Fixing bugs after launch can cost millions.

With firmware embedded in critical devices, testing before release is not optional—it’s necessary.

Why GQAT Tech? 

Full-Service QA Team: Specialists in firmware and embedded testing. 

Testing on Real Hardware: Hardware testing—not just simulators. 

Custom Test Plans: Plans tailored to the specifics of your hardware, product goals, and release schedule. 

Detailed Reporting: Bug reporting and test case coverage are clear and easy to understand. 

Time-to-Market Speed: Find and fix firmware bugs earlier in the development cycle. 

GQAT Tech will not only test your product, but it provide the assurance of reliability, scalability, and safety. 

Conclusion 

In a digital world, where the devices must "just work," firmware quality is critically important. Whether you're developing smart home, wearable, or industrial IoT devices, validating firmware will give you confidence that your product will deliver a zero-fail experience. 

💬 Are you ready to approach firmware testing with confidence?

👉 Explore Firmware Testing Services at GQAT Tech

[digitaldetoxworld]

Python Programming Language: A Comprehensive Guide

 Python is one of the maximum widely used and hastily growing programming languages within the world. Known for its simplicity, versatility, and great ecosystem, Python has become the cross-to desire for beginners, professionals, and organizations across industries.

What is Python used for

🐍 What is Python?

Python is a excessive-stage, interpreted, fashionable-purpose programming language.  The language emphasizes clarity, concise syntax, and code simplicity, making it an excellent device for the whole lot from web development to synthetic intelligence.

Its syntax is designed to be readable and easy, regularly described as being near the English language. This ease of information has led Python to be adopted no longer simplest through programmers but also by way of scientists, mathematicians, and analysts who may not have a formal heritage in software engineering.

📜 Brief History of Python

Late Nineteen Eighties: Guido van Rossum starts work on Python as a hobby task.

1991: Python zero.9.0 is released, presenting classes, functions, and exception managing.

2000: Python 2.Zero is launched, introducing capabilities like list comprehensions and rubbish collection.

2008: Python 3.Zero is launched with considerable upgrades but breaks backward compatibility.

2024: Python three.12 is the modern day strong model, enhancing performance and typing support.

⭐ Key Features of Python

Easy to Learn and Use:

Python's syntax is simple and similar to English, making it a high-quality first programming language.

Interpreted Language:

Python isn't always compiled into device code; it's far done line by using line the usage of an interpreter, which makes debugging less complicated.

Cross-Platform:

Python code runs on Windows, macOS, Linux, and even cell devices and embedded structures.

Dynamic Typing:

Variables don’t require explicit type declarations; types are decided at runtime.

Object-Oriented and Functional:

Python helps each item-orientated programming (OOP) and practical programming paradigms.

Extensive Standard Library:

Python includes a rich set of built-in modules for string operations, report I/O, databases, networking, and more.

Huge Ecosystem of Libraries:

From data technological know-how to net development, Python's atmosphere consists of thousands of programs like NumPy, pandas, TensorFlow, Flask, Django, and many greater.

📌 Basic Python Syntax

Here's an instance of a easy Python program:

python

Copy

Edit

def greet(call):

    print(f"Hello, call!")

greet("Alice")

Output:

Copy

Edit

Hello, Alice!

Key Syntax Elements:

Indentation is used to define blocks (no curly braces  like in different languages).

Variables are declared via task: x = 5

Comments use #:

# This is a remark

Print Function:

print("Hello")

📊 Python Data Types

Python has several built-in data kinds:

Numeric: int, go with the flow, complicated

Text: str

Boolean: bool (True, False)

Sequence: listing, tuple, range

Mapping: dict

Set Types: set, frozenset

Example:

python

Copy

Edit

age = 25             # int

name = "John"        # str

top = 5.Nine         # drift

is_student = True    # bool

colors = ["red", "green", "blue"]  # listing

🔁 Control Structures

Conditional Statements:

python

Copy

Edit

if age > 18:

    print("Adult")

elif age == 18:

    print("Just became an person")

else:

    print("Minor")

Loops:

python

Copy

Edit

for color in hues:

    print(coloration)

while age < 30:

    age += 1

🔧 Functions and Modules

Defining a Function:

python

Copy

Edit

def upload(a, b):

    return a + b

Importing a Module:

python

Copy

Edit

import math

print(math.Sqrt(sixteen))  # Output: four.0

🗂️ Object-Oriented Programming (OOP)

Python supports OOP functions such as lessons, inheritance, and encapsulation.

Python

Copy

Edit

elegance Animal:

    def __init__(self, call):

        self.Call = name

def communicate(self):

        print(f"self.Call makes a valid")

dog = Animal("Dog")

dog.Speak()  # Output: Dog makes a legitimate

🧠 Applications of Python

Python is used in nearly each area of era:

1. Web Development

Frameworks like Django, Flask, and FastAPI make Python fantastic for building scalable web programs.

2. Data Science & Analytics

Libraries like pandas, NumPy, and Matplotlib permit for data manipulation, evaluation, and visualization.

Three. Machine Learning & AI

Python is the dominant language for AI, way to TensorFlow, PyTorch, scikit-research, and Keras.

4. Automation & Scripting

Python is extensively used for automating tasks like file managing, device tracking, and data scraping.

Five. Game Development

Frameworks like Pygame allow builders to build simple 2D games.

6. Desktop Applications

With libraries like Tkinter and PyQt, Python may be used to create cross-platform computing device apps.

7. Cybersecurity

Python is often used to write security equipment, penetration trying out scripts, and make the most development.

📚 Popular Python Libraries

NumPy: Numerical computing

pandas: Data analysis

Matplotlib / Seaborn: Visualization

scikit-study: Machine mastering

BeautifulSoup / Scrapy: Web scraping

Flask / Django: Web frameworks

OpenCV: Image processing

PyTorch / TensorFlow: Deep mastering

SQLAlchemy: Database ORM

💻 Python Tools and IDEs

Popular environments and tools for writing Python code encompass:

PyCharm: Full-featured Python IDE.

VS Code: Lightweight and extensible editor.

Jupyter Notebook: Interactive environment for statistics technological know-how and studies.

IDLE: Python’s default editor.

🔐 Strengths of Python

Easy to study and write

Large community and wealthy documentation

Extensive 0.33-birthday celebration libraries

Strong support for clinical computing and AI

Cross-platform compatibility

⚠️ Limitations of Python

Slower than compiled languages like C/C++

Not perfect for mobile app improvement

High memory usage in massive-scale packages

GIL (Global Interpreter Lock) restricts genuine multithreading in CPython

🧭 Learning Path for Python Beginners

Learn variables, facts types, and control glide.

Practice features and loops.

Understand modules and report coping with.

Explore OOP concepts.

Work on small initiatives (e.G., calculator, to-do app).

Dive into unique areas like statistics technological know-how, automation, or web development.

[joshinglis123]

Unlocking the Secrets to Effortless Compliance with ZATCA Phase 2

The Kingdom of Saudi Arabia is leading the way in digital transformation, especially with its structured e-invoicing initiatives. A significant part of this movement is ZATCA Phase 2, which aims to enhance transparency, boost efficiency, and ensure tax compliance across businesses.

If you are a business owner, accountant, or IT professional, understanding ZATCA Phase 2 is no longer optional. It is critical for ensuring that your operations remain compliant and future-ready. This guide breaks down everything you need to know in a simple, easy-to-understand manner.

What Is ZATCA Phase 2?

ZATCA Phase 2, also known as the Integration Phase, is the next major step following Saudi Arabia's Phase 1 e-invoicing requirements. While Phase 1 focused on the generation of electronic invoices, Phase 2 moves beyond that.

It requires businesses to integrate their e-invoicing systems with ZATCA’s Fatoora platform, allowing real-time or near-real-time transmission of invoices for clearance and validation.

This phase ensures that each invoice issued meets strict technical, security, and data format requirements set by the Zakat, Tax and Customs Authority (ZATCA).

Key Objectives Behind ZATCA Phase 2

Understanding the "why" behind Phase 2 can help businesses see it as an opportunity rather than a burden. The main goals include:

Improving tax compliance across all sectors

Minimizing fraud and manipulation of invoices

Streamlining government audits with real-time data

Promoting a transparent digital economy

Enhancing business operational efficiency

Who Needs to Comply?

All businesses registered for VAT in Saudi Arabia must comply with ZATCA Phase 2 regulations. This includes:

Large enterprises

Medium and small businesses

Businesses using third-party billing service providers

Companies operating across multiple sectors

Even if your business operates primarily offline, if you are VAT registered, you need to be compliant.

Important Requirements for ZATCA Phase 2

Compliance with ZATCA Phase 2 is not just about sending electronic invoices. It involves specific technical and operational steps. Here’s what your business needs:

1. E-Invoicing System with ZATCA Compliance

Your billing or accounting system must:

Issue invoices in XML or PDF/A-3 with embedded XML

Securely store invoices electronically

Incorporate UUIDs (Unique Identifiers) for each invoice

Attach a QR code for simplified verification

2. Integration with ZATCA Systems

Businesses must establish a secure Application Programming Interface (API) connection with ZATCA’s platform to allow the real-time sharing of invoice data.

3. Cryptographic Stamp

Each invoice must carry a cryptographic stamp. This verifies the invoice's authenticity and integrity.

4. Archiving

Invoices must be securely archived and retrievable for at least six years in case of audits or regulatory reviews.

Implementation Timeline for ZATCA Phase 2

ZATCA is rolling out Phase 2 gradually, targeting businesses in waves based on their annual revenues:

Wave 1: Businesses with annual revenues above SAR 3 billion (started January 1, 2023)

Wave 2: Revenues above SAR 500 million (started July 1, 2023)

Future Waves: Gradually extending to smaller businesses

Each business is officially notified by ZATCA at least six months before their compliance date, giving them time to prepare.

How to Prepare for ZATCA Phase 2: A Step-by-Step Guide

The good news is that with proper planning, adapting to ZATCA Phase 2 can be straightforward. Here’s a simple preparation roadmap:

Step 1: Review Your Current Systems

Audit your existing accounting and invoicing solutions. Identify whether they meet Phase 2’s technical and security standards. In most cases, upgrades or new software may be required.

Step 2: Select a ZATCA-Approved Solution Provider

Look for software vendors that are pre-approved by ZATCA and offer:

Seamless API integration

Cryptographic stamping

XML invoice generation

Real-time data reporting

Step 3: Integration Setup

Collaborate with IT teams or third-party service providers to set up a secure connection with the Fatoora platform.

Step 4: Employee Training

Ensure that relevant departments, such as finance, IT, and compliance, are trained to manage new invoicing processes and troubleshoot any issues.

Step 5: Test Your Systems

Conduct dry runs and testing phases to ensure that invoices are being properly cleared and validated by ZATCA without delays or errors.

Step 6: Go Live and Monitor

Once your system is ready and tested, begin issuing invoices according to Phase 2 standards. Regularly monitor compliance, system errors, and feedback from ZATCA.

Common Challenges and How to Overcome Them

Businesses often encounter several challenges during their Phase 2 preparation. Awareness can help you avoid them:

Integration Difficulties: Solve this by partnering with experienced ZATCA-compliant vendors.

Employee Resistance: Overcome this with proper training and clear communication on the benefits.

Technical Errors: Regular testing and quick troubleshooting can help prevent issues.

Lack of Budget Planning: Allocate a specific budget for compliance early to avoid unexpected costs.

Preparation is not just technical. It’s organizational as well.

Benefits of Early Compliance with ZATCA Phase 2

Early compliance does more than just prevent penalties:

Improves Financial Reporting Accuracy: Real-time clearance ensures clean records.

Builds Market Trust: Clients and partners prefer businesses that follow regulatory norms.

Enhances Operational Efficiency: Automated invoicing processes save time and reduce errors.

Boosts Competitive Advantage: Staying ahead in compliance projects an image of professionalism and reliability.

Businesses that proactively adapt to these changes position themselves as industry leaders in the evolving Saudi economy.

Conclusion

ZATCA Phase 2 is not just a regulatory requirement. It’s an opportunity to upgrade your operations, improve financial accuracy, and enhance business credibility.

By understanding the requirements, preparing strategically, and partnering with the right solution providers, your business can turn this challenge into a growth opportunity.

The sooner you act, the smoother your transition will be. Compliance with ZATCA Phase 2 is your gateway to becoming part of Saudi Arabia’s dynamic digital economy.

[this-week-in-rust]

This Week in Rust 582

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on X (formerly Twitter) or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Want TWIR in your inbox? Subscribe here.

Updates from Rust Community

Official

Announcing Rust 1.84.0

This Month in Our Test Infra: December 2024

Foundation

Announcing Rust Global 2025: London

Newsletters

This Month in Rust OSDev: December 2024

Rust Trends Issue #57

Project/Tooling Updates

cargo.nvim - A Neovim plugin for Rust's Cargo commands

Context-Generic Programming Updates: v0.3.0 Release and New Chapters

The RTen machine learning runtime - a 2024 retrospective

Observations/Thoughts

The gen auto-trait problem

Async Rust is about concurrency, not (just) performance

The Emotional Appeal of Rust

[audio] Brave with Anton Lazarev

[audio] Lychee with Matthias Endler

Rust Walkthroughs

Creating an embedded device driver in Rust

Const Evaluation in Rust For Hex Strings Validation

Concurrent and parallel future execution in Rust

[video] Intro to Embassy: embedded development with async Rust

[video] Comprehending Proc Macros

[video] CppCon - C++/Rust Interop: Using Bridges in Practice

Miscellaneous

December 2024 Rust Jobs Report

Tracing Large Memory Allocations in Rust with BPFtrace

On LLMs and Code Optimization

Nand2Tetris - Project 7 (VM Translator Part 1)

Crate of the Week

This week's crate is vidyut, a Sanskrit toolkit containing functionality about meter, segmentation, inflections, etc.

Thanks to Arun Prasad for the self-suggestion!

Please submit your suggestions and votes for next week!

Calls for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

RFCs

No calls for testing were issued this week.

Rust

Tracking issue for RFC 3695: Allow boolean literals as cfg predicates

Testing steps

Rustup

No calls for testing were issued this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

RFCs

Rust

Rustup

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

rama - see if improvements can/have-to be made to rama's http open telemetry layer support

rama – add rama to TechEmpower's FrameworkBenchmark

rama – add rama server benchmark to sharkbench

If you are a Rust project owner and are looking for contributors, please submit tasks here or through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

CFP - Events

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

Rust Week (Rust NL) | Closes on 2024-01-19 | Utrecht, NL | Event on 2025-05-13 & 2025-05-14

Rust Summit | Rolling deadline | Belgrade, RS | Event on 2025-06-07

If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

Updates from the Rust Project

469 pull requests were merged in the last week

add new {x86_64,i686}-win7-windows-gnu targets

arm: add unstable soft-float target feature

-Zrandomize-layout harder. Foo<T> != Foo<U>

best_blame_constraint: Blame better constraints when the region graph has cycles from invariance or 'static

mir_transform: implement #[rustc_force_inline]

run_make_support: add #![warn(unreachable_pub)]

account for identity substituted items in symbol mangling

add -Zmin-function-alignment

add default_field_values entry to unstable book

add a list of symbols for stable standard library crates

add an InstSimplify for repetitive array expressions

add inherent versions of MaybeUninit methods for slices

add missing provenance APIs on NonNull

assert that Instance::try_resolve is only used on body-like things

avoid ICE: Account for for<'a> types when checking for non-structural type in constant as pattern

avoid replacing the definition of CURRENT_RUSTC_VERSION

cleanup suggest_binding_for_closure_capture_self diag in borrowck

condvar: implement wait_timeout for targets without threads

convert typeck constraints in location-sensitive polonius

depth limit const eval query

detect mut arg: &Ty meant to be arg: &mut Ty and provide structured suggestion

do not ICE when encountering predicates from other items in method error reporting

eagerly collect mono items for non-generic closures

ensure that we don't try to access fields on a non-struct pattern type

exhaustively handle expressions in patterns

fix ICE with references to infinite structs in consts

fix cycle error only occurring with -Zdump-mir

fix handling of ZST in win64 ABI on windows-msvc targets

implement const Destruct in old solver

lower Guard Patterns to HIR

make (unstable API) UniqueRc invariant for soundness

make MIR cleanup for functions with impossible predicates into a real MIR pass

make lit_to_mir_constant and lit_to_const infallible

normalize each signature input/output in typeck_with_fallback with its own span

remove a bunch of diagnostic stashing that doesn't do anything

remove allocations from case-insensitive comparison to keywords

remove special-casing for argument patterns in MIR typeck (attempt to fix perf regression of #133858)

reserve x18 register for aarch64 wrs vxworks target

rm unnecessary OpaqueTypeDecl wrapper

suggest Replacing Comma with Semicolon in Incorrect Repeat Expressions

support target specific optimized-compiler-builtins

unify conditional-const error reporting with non-const error reporting

use a post-monomorphization typing env when mangling components that come from impls

use llvm.memset.p0i8.* to initialize all same-bytes arrays

used pthread name functions returning result for FreeBSD and DragonFly

warn about broken simd not only on structs but also enums and unions when we didn't opt in to it

implement trait upcasting

mir-opt: GVN some more transmute cases

miri: add FreeBSD maintainer; test all of Solarish

miri: added Android to epoll and eventfd test targets

miri: adjust the way we build miri-script in RA, to fix proc-macros

miri: illumos: added epoll and eventfd

miri: supported fioclex for ioctl on macos

miri: switched FreeBSD to pthread_setname_np

miri: use deref_poiner_as instead of deref_pointer

proc_macro: Use ToTokens trait in quote macro

add #[inline] to copy_from_slice

impl String::into_chars

initial fs module for uefi

hashbrown: added Allocator template argument for rustc_iter

account for optimization levels other than numbers

cargo: schemas: Fix 'metadata' JSON Schema

cargo: schemas: Fix the [lints] JSON Schema

cargo: perf: cargo-package: match certain path prefix with pathspec

cargo: fix: emit warnings as warnings when learning rust target info

cargo: make "C" explicit in extern "C"

cargo: setup cargo environment for cargo rustc --print

cargo: simplify SourceID Ord/Eq

rustdoc-json: include items in stripped modules in Crate::paths

rustdoc: use import stability marker in display

rustdoc: use stable paths as preferred canonical paths

rustfmt: drop nightly-gating of the --style-edition flag registration

clippy: add new lint unneeded_struct_pattern

clippy: auto-fix slow_vector_initialization in some cases

clippy: do not intersect spans coming from different contexts

clippy: do not look for significant drop inside .await expansion

clippy: do not propose to elide lifetimes if this causes an ambiguity

clippy: do not remove identity mapping if mandatory mutability would be lost

clippy: do not trigger redundant_pub_crate in external macros

clippy: don't emit machine applicable map_flatten lint if there are code comments

clippy: don't suggest to use cloned for Cow in unnecessary_to_owned

clippy: fix type suggestion for manual_is_ascii_check

clippy: improve needless_as_bytes to also detect str::bytes()

clippy: new lint: manual_ok_err

clippy: remove unneeded parentheses in unnecessary_map_or lint output

rust-analyzer: add a new and improved syntax tree view

rust-analyzer: add config setting which allows adding additional include paths to the VFS

rust-analyzer: re-implement rust string highlighting via tool attribute

rust-analyzer: fix JSON project PackageRoot buildfile inclusion

rust-analyzer: do not compute prettify_macro_expansion() unless the "Inline macro" assist has actually been invoked

rust-analyzer: do not offer completions within macro strings

rust-analyzer: fix env/option_env macro check disregarding macro_rules definitions

rust-analyzer: fix ref text edit for binding mode hints

rust-analyzer: fix a bug with missing binding in MBE

rust-analyzer: fix actual token lookup in completion's expand()

rust-analyzer: fix another issue with fixup reversing

rust-analyzer: fix diagnostics not clearing between flychecks

rust-analyzer: make edition per-token, not per-file

rust-analyzer: implement #[rust_analyzer::skip] for bodies

rust-analyzer: implement implicit sized bound inlay hints

rust-analyzer: improve hover module path rendering

Rust Compiler Performance Triage

A quiet week with little change to the actual compiler performance. The biggest compiler regression was quickly recognized and reverted.

Triage done by @rylev. Revision range: 0f1e965f..1ab85fbd

Summary:

(instructions:u) mean range count Regressions ❌ (primary) 0.4% [0.1%, 1.8%] 21 Regressions ❌ (secondary) 0.5% [0.0%, 2.0%] 35 Improvements ✅ (primary) -0.8% [-2.7%, -0.3%] 6 Improvements ✅ (secondary) -10.2% [-27.8%, -0.1%] 13 All ❌✅ (primary) 0.2% [-2.7%, 1.8%] 27

4 Regressions, 3 Improvements, 3 Mixed; 3 of them in rollups 44 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

Supertrait item shadowing v2

Tracking Issues & PRs

Rust

remove support for the (unstable) #[start] attribute

fully de-stabilize all custom inner attributes

Uplift clippy::double_neg lint as double_negations

Optimize Seek::stream_len impl for File

[rustdoc] Add sans-serif font setting

Tracking Issue for PathBuf::add_extension and Path::with_added_extension

Make the wasm_c_abi future compat warning a hard error

const-eval: detect more pointers as definitely not-null

Consider fields to be inhabited if they are unstable

disallow repr() on invalid items

Cargo

No Cargo Tracking Issues or PRs entered Final Comment Period this week.

Language Team

No Language Team Proposals entered Final Comment Period this week.

Language Reference

distinct 'static' items never overlap

Unsafe Code Guidelines

No Unsafe Code Guideline Tracking Issues or PRs entered Final Comment Period this week.

New and Updated RFCs

Make trait methods callable in const contexts

RFC: Allow packages to specify a set of supported targets

Upcoming Events

Rusty Events between 2025-01-15 - 2025-02-12 🦀

Virtual

2025-01-15 | Virtual (London, UK) | London Rust Project Group

Meet and greet with project allocations

2025-01-15 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens 🦀 - 🐍 - 🐪

An introduction to WASM in Rust with Márk Tolmács (Virtual, English)

2025-01-15 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Leptos

2025-01-16 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2025-01-16 | Virtual (San Diego, CA, US) | San Diego Rust

San Diego Rust January 2025 Tele-Meetup

2025-01-16 | Virtual and In-Person (Redmond, WA, US) | Seattle Rust User Group

January Meetup

2025-01-17 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-01-21 | Virtual (Tel Aviv-Yafo, IL) | Rust 🦀 TLV

Exploring Rust Enums with Yoni Peleg (Virtual, Hebrew)

2025-01-21 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2025-01-22 | Virtual (Rotterdam, NL) | Bevy Game Development

Bevy Meetup #8

2025-01-23 & 2025-01-24 | Virtual | Mainmatter Rust Workshop

Remote Workshop: Testing for Rust projects – going beyond the basics

2025-01-24 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-01-26 | Virtual (Tel Aviv-Yafo, IL) | Rust 🦀 TLV

Rust and embedded programming with Leon Vak (online in Hebrew)

2025-01-27 | Virtual (London, UK) | London Rust Project Group

using traits in Rust for flexibility, mocking/ unit testing, and more

2025-01-28 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Last Tuesday

2025-01-30 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2025-01-30 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Quantum Computers Can’t Rust-Proof This!

2025-01-30 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens 🦀 - 🐍 - 🐪

Are We Embedded Yet? - Implementing tiny HTTP server on a microcontroller

2025-01-31 | Virtual (Delhi, IN) | Hackathon Raptors Association

Blazingly Fast Rust Hackathon

2025-01-31 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-02-01 | Virtual (Kampala, UG) | Rust Circle Kampala

Rust Circle Meetup

2025-02-04 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group

2025-02-05 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2025-02-07 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-02-11 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Second Tuesday

2025-02-11 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens 🦀 - 🐍 - 🐪

Meet Elusion: New DataFrame Library powered by Rust 🦀 with Borivoj Grujicic

Europe

2025-01-16 | Amsterdam, NL | Rust Developers Amsterdam Group

Meetup @ Avalor AI

2025-01-16 | Karlsruhe, DE | Rust Hack & Learn Karlsruhe

Karlsruhe Rust Hack and Learn Meetup bei BlueYonder

2025-01-18 | Stockholm, SE | Stockholm Rust

Ferris' Fika Forum #8

2025-01-21 | Edinburgh, GB | Rust and Friends

Rust and Friends (evening pub)

2025-01-21 | Ghent, BE | Systems Programming Ghent

Tech Talks & Dinner: Insights on Systems Programming Side Projects (in Rust) - Leptos (full-stack Rust with webassembly), Karyon (distributed p2p software in Rust), FunDSP (audio synthesis in Rust)

2025-01-21 | Leipzig, SN, DE | Rust - Modern Systems Programming in Leipzig

Self-Organized Peer-to-Peer Networks using Rust

2025-01-22 | London, GB | Rust London User Group

Rust London's New Years Party & Community Swag Drop

2025-01-22 | Oberursel, DE | Rust Rhein Main

Rust 2024 Edition and Beyond

2025-01-23 | Barcelona, ES | Barcelona Free Software

Why Build a New Browser Engine in Rust?

2025-01-23 | Paris, FR | Rust Paris

Rust meetup #74

2025-01-24 | Edinburgh, GB | Rust and Friends

Rust and Friends (daytime coffee)

2025-01-27 | Prague, CZ | Rust Prague

Rust Meetup Prague (January 2025)

2025-01-28 | Aarhus, DK | Rust Aarhus

Hack Night - Advent of Code

2025-01-28 | Manchester, GB | Rust Manchester

Rust Manchester January Code Night

2025-01-30 | Augsburg, DE | Rust Meetup Augsburg

Rust Meetup #11: Hypermedia-driven development in Rust

2025-01-30 | Berlin, DE | Rust Berlin

Rust and Tell - Title

2025-02-01 | Brussels, BE | FOSDEM 2025

FOSDEM Rust Devroom

2025-02-01 | Nürnberg, DE | Rust Nuremberg

Technikmuseum Sinsheim

2025-02-05 | Oxford, GB | Oxford Rust Meetup Group

Oxford Rust and C++ social

2025-02-12 | Reading, GB | Reading Rust Workshop

Reading Rust Meetup

North America

2025-01-16 | Nashville, TN, US | Music City Rust Developers

Rust Game Development Series 1: Community Introductions

2025-01-16 | Redmond, WA, US | Seattle Rust User Group

January Meetup

2025-01-16 | Spokane, WA, US | Spokane Rust

Spokane Rust Monthly Meetup: Traits and Generics

2025-01-17 | México City, MX | Rust MX

Multithreading y Async en Rust 101 - HolaMundo - Parte 3

2025-01-18 | Boston, MA, US | Boston Rust Meetup

Back Bay Rust Lunch, Jan 18

2025-01-21 | New York, NY, US | Rust NYC

Rust NYC Monthly Meetup

2025-01-21 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2025-01-22 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2025-01-23 | Mountain View, CA, US | Hacker Dojo

RUST MEETUP at HACKER DOJO | Rust Meetup at Hacker Dojo - Mountain View Rust Meetup Page

2025-01-28 | Boulder, CO, US | Boulder Rust Meetup

From Basics to Advanced: Testing

2025-02-06 | Saint Louis, MO, US | STL Rust

Async, the Future of Futures

Oceania:

2025-02-04 | Auckland, NZ | Rust AKL

Rust AKL: How We Learn Rust

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

This is a wonderful unsoundness and I am incredibly excited about it :3

– lcnr on github

Thanks to Christoph Grenz for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, U007D, joelmarcey, mariannegoldin, bennyvasquez, bdillo

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[lanjekarmfg]

Understanding Electronics Design & Engineering

Introduction

Electronics design engineering is that critical component that determines the future of innovative products in a competitive tech industry today. It consists of all services—from concept development in the initial stage to the final testing of the product, so as to deliver an electronic product capable of high performance and meeting the established performance standards as well as regulatory compliance. This amalgamation of experience and approach in the area of hardware, firmware, mechanical design, and regulatory compliance underlines electronics design engineering as a fundamental component in the development of reliable and efficient products.

Concept development

It is the first phase of the process in electronics design engineering. Concept development is that phase that involves the idea generation of a product, an analysis of needs in the market, and, by extension, setting the technical requirements for the product. Engineers and designers can then work together to create a solid proposal for the product development so that concept development becomes both market-worthy and technically viable.

Firmware development

It is a part and parcel of electronics design engineering because it explains how the hardware would interact with the world outside. It deals with the embedded software, which makes sure that the hardware components work smoothly and seamlessly.

The prime areas involved in firmware development are as follows:-

Embedded Systems: The firmware is tailored to regulate the internal systems of a device.

Real-Time Processing: The firmware is designed considering the real-time processing of data; this leads to responses that are swift and reliable.

Customization: Engineers design the firmware to specifically correspond with the product's functionality and application.

Want to take your product to the next level with custom firmware? Get in touch with Lanjekar Manufacturing today for more information on how our electronics design engineering services can help.

Hardware Development

In electronics design engineering, the development of hardware is an important stage wherein engineers design the physical components that bring electronic devices to life. Hardware has to be robust and reliable and to enable the firmware for the optimal performance of the product.

Some of the important steps in it are as follows:

Component selection: High-quality components have to be selected according to the technical specifications of the product to be designed.

Prototyping: Engineers must make prototypes to check if the designs are valid and free from potential dangers that might eventually come into operation in full-scale production.

Testing: Extensive testing is carried out in this stage to test the functionality and life expectancy of the hardware.

PCB Layout Design

Printed circuit boards (PCBs) are the backbone of any electronic product, and hence their design must be correct. PCB layout design in electronics design engineering refers to the designing of efficient, interference-free, and compact designs within the form of the product.

Key considerations involve:

Schematic Design: The engineers produce an in-depth diagram to represent how one component connects to another.

Layout Optimization: It optimizes the layout so that signals remain robust and interference potential is minimized.

Manufacturability: The design is optimized with best practices that ensure efficient production of PCBs.

Regulatory Compliance and Certification: Ensure the product meets local and international standards, this is part of the work of electronics design engineering. This includes:

Knowledge on Regulatory: Engineers ensure that the product goes through the required regulations, safety, and environmental standards.

Testing: Testing of products to conform to the certification through acquisition of compliance standards.

Documentation: All these supporting documents for certifications undertaken in the engineering process. Mechanical DesignIt is one thing to have a good internal part of the device, but the mechanical design of a product cannot be overlooked. Electronics design engineering typically incorporates mechanical design in its design to ensure that the device has a good, robust structure that appears aesthetically pleasing.This is what constitutes mechanical design, such as;

3D Modeling: Engineers create 3D models that would allow the individual to visualize the physical structure of the product.Thermal Management: Effective thermal design, where the hot elements are dissipating the heat away.

Material Selection: Correct material to utilize for ruggedness, weight, and functionality

Mechanical Design: It is also critical to ensuring the product functions well but with ease of usage.

Connectivity Solutions

With the increasing rise in the deployment of IoT products, electronics design engineering puts emphasis on connectivity solutions. This could either be wireless or wired. This ensures that the product is communicating effectively.

Some of the crucial considerations include the following:

Protocol Implementation: It ensures total compatibility with different communication protocols like Wi-Fi, Bluetooth, or Zigbee.

Seamless Integration: The connectivity solutions are also made to not compromise with the performance of a product.

Security Measures: Connectivity solutions also deal with data security, one important feature of modern devices.

 

Conclusion

Electronics design engineering contains all aspects of product development, from concept to compliance. The discipline of electronics design engineering consists of focusing on firmware, hardware, PCB layout, mechanical design, and connectivity, ensuring the end product is reliable, innovative, and compliant with industry standards. If all the components can work well coherently, it doesn't only produce a friendly user at the end but also something that will be in high demand in the market.

Contact Lanjekar Manufacturing today and share your project with us to find out how we can give your ideas life.

Also read:

Know Electronics Manufacturing: The Total Guide

Firmware Development: Where Software Meets Hardware

The Essentials of PCB Design: Techniques and Best Practices

The Complete Guide to Hardware Development: From Design to Deployment

[mercyjuliet1512]

Navigating Automated Testing with Selenium: A Comprehensive Overview

Introduction: In the dynamic landscape of software development, ensuring the reliability and performance of web applications is imperative. Enter Selenium, a powerhouse in the realm of automated testing, offering a suite of tools and libraries to streamline the testing process. In this article, we'll delve into the intricacies of Selenium, examining its features, advantages, and why it's a top choice for automated testing.

Exploring Selenium's Capabilities: Selenium serves as an open-source automation testing framework primarily designed for web applications. It equips testers with the ability to automate browser interactions, mimic user actions, and validate application behavior across different browsers and platforms.

Key Factors Driving Selenium's Adoption:

Seamless Cross-Browser Compatibility: Selenium's remarkable capability to conduct tests across various web browsers ensures uniform functionality and user experience across diverse platforms, a crucial aspect in today's interconnected digital world.

Embracing Open-Source Accessibility: A significant advantage of Selenium lies in its open-source nature, eliminating licensing barriers and making it accessible to organizations of all sizes. This democratization of automated testing promotes innovation and collaboration within the software development community.

Versatility in Programming Languages: Selenium offers support for multiple programming languages, including Java, Python, C#, Ruby, and JavaScript. This flexibility empowers testers to craft test scripts in their preferred language, fostering productivity and adaptability across diverse teams.

Flexibility and Scalability: One of Selenium's standout features is its flexibility and extensibility, allowing testers to tailor its functionality to suit specific testing needs. Whether integrating with existing frameworks or crafting custom test scenarios, Selenium adapts seamlessly to diverse testing requirements.

Integration into CI Pipelines: Selenium seamlessly integrates into Continuous Integration (CI) pipelines, automating testing processes and facilitating early bug detection. By embedding Selenium tests within CI workflows, organizations can enhance the efficiency and reliability of their software delivery pipelines.

Thriving Community Support: Selenium boasts a vibrant community of developers, testers, and enthusiasts, actively contributing to its development and evolution. This robust support network provides invaluable resources, documentation, and forums, fostering collaboration and knowledge sharing among users.

Comprehensive Testing Capabilities: Selenium offers a comprehensive suite of testing capabilities, encompassing functional testing, regression testing, performance testing, and compatibility testing. Its rich feature set enables testers to address a wide spectrum of testing scenarios effectively, ensuring the quality and reliability of web applications.

Platform Independence: Selenium's platform-independent nature enables it to run seamlessly across various operating systems, enhancing test portability and scalability. This versatility ensures consistent test execution across diverse environments, bolstering confidence in testing outcomes.

Conclusion: In conclusion, Selenium emerges as a stalwart in the realm of automated testing, driven by its cross-browser compatibility, open-source accessibility, language support, flexibility, integration capabilities, community support, comprehensive testing features, and platform independence. Whether you're a seasoned tester or a budding developer, mastering Selenium empowers you to navigate the complexities of automated testing with confidence and efficiency. As organizations strive for excellence in software quality and reliability, Selenium remains an indispensable tool in their arsenal, facilitating the delivery of robust and resilient web applications in today's digital landscape.

[k12academics]

Clarkson's BS in Software Engineering combines software and hardware topics through a streamlined course sequence emphasizing software engineering technology and engineering design.

This interdisciplinary curriculum draws from computer science and electrical and computer engineering. This collaborative approach focuses on:

Data structures and algorithms

Embedded systems

Programming fundamentals

Programming languages

Software engineering (requirements, design, implementation and verification and validation)

Software systems

Web and mobile systems

Our students are taught with state-of-the-art industry tools and get introduced to programming languages C/C++, Java, Python and JavaScript, among others.

[ellagrace20]

Technology Staffing for a Digital Future

With its thriving startup scene, nearshore appeal, and strong academic pipeline, Poland is quickly becoming a technology powerhouse in Europe. Global enterprises and local innovators alike are building teams here—from software development and cloud infrastructure to AI, cybersecurity, and enterprise IT.

But as demand accelerates, sourcing qualified, agile, and certified tech professionals is becoming a growing challenge. The gap between project needs and available talent can slow innovation, increase risk, and impact delivery timelines.

What Makes Tech Staffing So Complex Today

Technology is no longer a single department—it’s embedded in every function of modern business. Whether it’s building a product, protecting customer data, or enabling remote operations, every digital initiative depends on people with specialized skills.

Tech staffing challenges include:

High demand for cloud, DevOps, cybersecurity, and full-stack roles

Rapidly evolving technologies requiring upskilling and cross-skilling

Increased competition from global and remote-first companies

Project delays due to onboarding bottlenecks and attrition

Organizations need staffing solutions that match this pace—fast, flexible, and built for scale.

Flexible Talent Models That Fit Every Tech Environment

From startups scaling quickly to enterprises migrating legacy systems, Poland’s tech landscape is diverse—and so are its staffing needs. Companies benefit from a flexible mix of contract, permanent, and project-based resources to keep innovation moving without overstretching budgets.

Common staffing approaches include:

Agile team extensions for software development

Project-based consultants for cloud, AI, and data initiatives

Contract-to-hire roles for long-term alignment

Specialized roles in cybersecurity, infrastructure, and architecture

This flexibility supports faster launches, better project delivery, and lower attrition in competitive environments.

Security and Compliance Are Built In

In the digital economy, trust is everything. Hiring in the tech sector requires not only skill validation but also strict attention to data protection, access control, and compliance with local and international regulations—especially GDPR.

Effective technology staffing includes:

Background and credential checks

Secure onboarding workflows and NDAs

GDPR-compliant data handling

Alignment with IT governance and audit frameworks

With the right security-focused staffing practices, companies can scale confidently—without compromising risk posture or client trust.

Staffing That Supports Innovation and Growth

Whether launching a new app, optimizing cloud infrastructure, or building digital products at scale, success depends on more than the tech stack—it depends on the people behind it. Technology staffing that is proactive, precise, and aligned with business outcomes is key to sustained innovation.

As Poland continues to lead in tech talent delivery, the right staffing strategy will help organizations move from idea to execution—faster, safer, and smarter.

[robotico-digital]

Next-Gen Security Testing Services Using AI: A Deep Dive

In the ever-evolving landscape of software development, security breaches have grown more frequent and sophisticated. Traditional testing methods, though foundational, are no longer sufficient in identifying and addressing the fast-moving threats facing modern systems. This is where Next-Gen Security Testing Services come into play, blending AI innovation with robust testing protocols.

At Robotico Digital, we’ve redefined how security integrates into software engineering by embedding Artificial Intelligence (AI) into our advanced Security Testing Services. This deep dive explores how AI transforms Security Testing in Software Testing, enabling faster detection, smarter remediation, and continuous protection across development pipelines.

The Shift Toward AI in Security Testing

Historically, Security Testing Services were heavily reliant on manual reviews, rule-based scanners, and time-intensive penetration testing. While still valuable, these methods struggle to keep up with:

lRapid DevOps cycles

lEvolving attack vectors

lIncreasing application complexity

lHybrid cloud and microservices infrastructure

AI, specifically through machine learning (ML), Natural Language Processing (NLP), and behavioral analytics, has introduced a transformative layer of intelligence to these services. It allows security testers and developers to go beyond reactive defenses—identifying risks proactively and at scale.

How AI Enhances Security Testing in Software Testing

Incorporating AI into Security Testing in Software Testing provides multi-dimensional improvements across efficiency, accuracy, and adaptability. Let’s break down the core components.

1. Automated Vulnerability Detection

AI-powered scanners can crawl source code, binary files, API endpoints, and web interfaces to detect anomalies that indicate vulnerabilities. Unlike traditional scanners, AI engines learn from past vulnerabilities and global threat databases to continually improve detection precision.

Key Features:

lPattern recognition across massive codebases

lZero-day threat detection using anomaly detection models

lAuto-mapping of application attack surfaces

2. Adaptive Risk Prioritization

One major challenge in Security Testing Services is managing false positives and prioritizing true threats. AI models rank vulnerabilities based on:

lExploitability

lBusiness impact

lData sensitivity

lThreat intelligence feeds

This reduces alert fatigue and ensures engineering teams focus on high-priority issues first.

3. Dynamic Threat Modeling

AI systems can automatically generate and update threat models for evolving software architectures. By simulating attacker behavior, AI enables predictive testing—discovering how vulnerabilities might be chained or escalated.

4. Self-Learning Penetration Testing

AI agents mimic ethical hackers using reinforcement learning. These bots evolve through trial and error, discovering unconventional paths to exploitation and mimicking real-world attack tactics.

Robotico Digital’s AI-Powered Security Testing Stack

At Robotico Digital, we’ve built a proprietary AI-enhanced testing framework designed to deliver intelligent, continuous, and scalable security coverage. Here's what powers our next-gen Security Testing Services:

AI-Powered SAST & DAST Engines

SAST (Static Application Security Testing): Our AI models review code for insecure functions, misconfigurations, and data flow leaks at the source level.

DAST (Dynamic Application Security Testing): AI crawlers test running applications by simulating user behavior and injecting payloads to trigger security vulnerabilities.

Machine-Learning Vulnerability Correlation

We reduce redundant findings by merging results from multiple tools and identifying duplicate alerts. ML models group similar issues, track them across builds, and learn from developer remediation behavior.

AI-Based Compliance Validation

Robotico Digital uses AI to ensure compliance with:

lOWASP Top 10

lGDPR / HIPAA / PCI DSS

lNIST and ISO 27001 We map discovered vulnerabilities to these frameworks, highlighting gaps in your security and compliance posture.

Use Cases of AI in Security Testing Services

Web & Mobile Application Testing

AI identifies issues such as insecure authentication, broken access controls, and injection attacks. It tests logic errors and parameter tampering based on how real users interact with the app.

API Security Testing

APIs are high-value targets. Our AI models analyze OpenAPI/Swagger specs, apply fuzzing techniques, and test for broken object-level authorization (BOLA) and mass assignment vulnerabilities.

Cloud & Infrastructure Testing

For cloud-native applications, AI detects misconfigurations in IAM roles, storage permissions, and network security groups—especially in multi-cloud environments like AWS, Azure, and GCP.

DevSecOps Pipeline Integration

Robotico Digital integrates AI-based scanning tools directly into CI/CD platforms like GitLab, Jenkins, and Azure DevOps. This ensures shift-left security with automated gates at every build stage.

Implementation Challenges & Considerations

While the benefits are substantial, integrating AI into Security Testing Services is not without hurdles:

1. Data Quality & Training Bias

AI models require high-quality, labeled data to function accurately. Poor or biased training datasets can lead to both false positives and false negatives.

2. Explainability & Developer Trust

“Black-box” decisions from AI can frustrate developers. Robotico Digital addresses this by using explainable AI (XAI) models that provide root cause analysis and remediation context.

3. AI Model Drift

Security threats evolve. AI models must be updated regularly to avoid “drift” that could miss emerging threats. We maintain continuous model updates with feedback loops from threat intelligence systems.

Future of AI in Security Testing Services

AI in Security Testing Services is still in its growth phase. Here’s what’s on the horizon:

lGenerative AI for Test Case Creation: Using models like GPT-4 to simulate attacks and generate intelligent test scripts.

lAutonomous Remediation Agents: AI that not only finds issues but can propose or apply secure code fixes autonomously.

lFederated Threat Learning: Secure sharing of anonymized threat data across organizations to train more resilient models.

lAI-Powered Red Teaming: Simulated human-like attackers that learn and evolve to breach complex systems.

Conclusion

Security is not a checkbox; it’s a continuous journey. As applications grow more complex and the cyber threat landscape expands, relying on traditional methods alone is no longer enough. AI enables Security Testing Services to become proactive, intelligent, and deeply integrated into the development lifecycle.

At Robotico Digital, we’re proud to lead the next generation of Security Testing in Software Testing by harnessing the power of artificial intelligence. Our AI-enhanced services empower organizations to detect vulnerabilities faster, respond more intelligently, and scale their cybersecurity operations with confidence.

[servotechinc78]

The Mechatronic Design Engineer: Powering Automation with CODESYS

Mechatronic design engineering is a multidisciplinary field that blends mechanical engineering, electronics, control systems, and software development to create intelligent, automated systems. Mechatronic design engineers are at the forefront of innovation, designing solutions for industries like robotics, automotive, aerospace, and manufacturing. CODESYS, an IEC 61131-3-compliant development platform, is a critical tool for these engineers, enabling them to program and integrate control systems for complex mechatronic applications. This article explores the role of a mechatronic design engineer, how CODESYS supports their work, key responsibilities, required skills, and real-world applications, highlighting the impact of this profession on modern automation.

The Essence of Mechatronic Design Engineering

Mechatronic design engineering focuses on creating systems that integrate mechanical components, electronic circuits, sensors, actuators, and software to achieve precise, reliable performance. These systems, such as robotic arms, autonomous vehicles, or CNC machines, require seamless coordination between hardware and software. Mechatronic design engineers ensure that these components work together to meet performance, safety, and efficiency goals, making them essential in industries embracing Industry 4.0 and smart automation.

CODESYS is a cornerstone for mechatronic design engineers, offering a versatile, hardware-independent platform for programming embedded control systems. Its compliance with IEC 61131-3, support for multiple programming languages, and robust tools for simulation and debugging make it ideal for developing sophisticated mechatronic systems.

Responsibilities of a Mechatronic Design Engineer

Mechatronic design engineers undertake a variety of tasks to bring complex systems to life:

System Design and Integration: Designing integrated systems that combine mechanical structures, electronics, and control software to meet specific functional requirements.

Control System Programming: Developing control algorithms to manage sensors, actuators, and motion systems, ensuring precise operation.

Simulation and Testing: Using simulation tools to validate system performance before deployment, minimizing errors and risks.

Prototyping and Commissioning: Building prototypes, integrating components, and deploying systems in real-world environments.

Optimization and Troubleshooting: Analyzing system performance, debugging issues, and optimizing designs for efficiency and reliability.

Collaboration: Working with mechanical, electrical, and software teams to ensure cohesive system development.

How CODESYS Empowers Mechatronic Design Engineers

CODESYS provides a comprehensive environment tailored to the needs of mechatronic design engineers:

IEC 61131-3 Programming Languages: CODESYS supports Ladder Diagram (LD), Function Block Diagram (FBD), Structured Text (ST), Instruction List (IL), and Sequential Function Chart (SFC). These languages enable engineers to develop control logic for diverse applications, from simple discrete controls to advanced motion systems.

Hardware Flexibility: Compatible with PLCs and embedded controllers from vendors like Beckhoff, WAGO, and Siemens, CODESYS allows engineers to choose hardware that suits project budgets and requirements.

Motion Control Libraries: CODESYS offers libraries for motion control, supporting tasks like servo motor control, trajectory planning, and multi-axis coordination, critical for mechatronic systems like robotics.

Simulation and Debugging Tools: The built-in simulation mode enables testing without physical hardware, while debugging features like breakpoints and real-time monitoring help identify and resolve issues quickly.

HMI Development: CODESYS provides tools to create Human-Machine Interfaces (HMIs) for operator interaction, including graphical displays and web-based visualizations.

Communication Protocols: Support for EtherCAT, CANopen, Modbus, and OPC UA ensures seamless integration with sensors, actuators, and other devices in mechatronic systems.

Safety Standards: For safety-critical applications, CODESYS supports IEC 61508 (SIL 2/3), enabling engineers to design systems for industries like automotive and aerospace.

Example: Robotic Arm Control Program

Below is a sample Structured Text (ST) program for controlling a robotic arm’s position in a mechatronic system:

RoboticArmControl.st

plain

Show inline

This program implements a proportional control loop to adjust a robotic arm’s joint angle, ensuring precise positioning in a mechatronic application.

Essential Skills for Mechatronic Design Engineers

To succeed, mechatronic design engineers need a diverse skill set:

Multidisciplinary Knowledge: Proficiency in mechanical design, electronics, and control systems programming, including CODESYS and IEC 61131-3 languages.

Control Theory: Understanding of control algorithms, such as PID control, for precise system management.

Software Development: Experience with embedded systems programming and real-time operating systems (RTOS).

Problem-Solving: Analytical skills to troubleshoot and optimize complex systems.

Teamwork: Collaboration with cross-functional teams to integrate hardware and software components.

Adaptability: Staying updated with emerging technologies like IoT, AI, and cybersecurity.

Benefits of Using CODESYS

Streamlined Development: The integrated IDE and simulation tools reduce development time and errors.

Cost Efficiency: Hardware independence and code reusability lower project costs.

Scalability: CODESYS supports projects from small prototypes to large-scale industrial systems.

Flexibility: Multiple programming languages and protocols cater to diverse project needs.

Community Support: A global user base and resources like the CODESYS Store provide access to libraries and tutorials.

Applications in Industry

Mechatronic design engineers leverage CODESYS in various sectors:

Robotics: Developing control systems for industrial and collaborative robots.

Automotive: Designing ECUs for engine management, braking, and autonomous driving.

Manufacturing: Automating production lines, CNC machines, and material handling systems.

Aerospace: Controlling actuators and sensors in aircraft and spacecraft.

Medical Devices: Creating precise control systems for surgical robots and diagnostics.

Challenges in Mechatronic Design Engineering

Interdisciplinary Complexity: Integrating mechanical, electrical, and software components requires broad expertise.

Learning Curve: Mastering CODESYS and IEC 61131-3 languages can be time-intensive for beginners.

Resource Constraints: Embedded systems often have limited processing power, necessitating optimized code.

Safety Requirements: Meeting standards like IEC 61508 for safety-critical applications adds complexity.

Getting Started with CODESYS

To begin as a mechatronic design engineer using CODESYS:

Install CODESYS: Download the free IDE from the official website.

Learn Programming: Study IEC 61131-3 languages through tutorials and documentation.

Select Hardware: Choose a compatible PLC or embedded controller.

Develop and Simulate: Write control logic, test in simulation mode, and debug.

Deploy: Compile and deploy code to the target hardware.

Future Trends

As industries embrace digital transformation, mechatronic design engineers will increasingly use CODESYS for IoT-enabled systems, cloud-based monitoring, and AI-driven control. Support for protocols like OPC UA and MQTT positions CODESYS for smart manufacturing, while advancements in cybersecurity ensure its relevance in safety-critical applications.

Conclusion

Mechatronic design engineers by Servotechinc are key to creating the intelligent systems that drive modern automation, from robotics to autonomous vehicles. CODESYS empowers these professionals with a flexible, IEC 61131-3-compliant platform for programming, testing, and deploying control systems. Its robust features, hardware independence, and support for motion control and communication protocols make it indispensable for mechatronic applications. As technology advances, CODESYS and mechatronic design engineers will continue to shape the future of automation, delivering innovative, efficient, and reliable solutions.

[gqattech]

https://gqattech.com/compatibility-testing/

https://gqattech.com/firmware-testing/

[techpsa]

Exploring the Role of NPD Software in Driving Innovation

Innovation isn’t just about breakthrough ideas—it’s about turning those ideas into valuable products that meet real market needs. For organisations that rely on continuous product development, innovation must be repeatable, scalable, and measurable. That’s where New Product Development (NPD) software plays a critical role.

NPD software empowers organisations to manage the entire innovation lifecycle—from idea capture to commercial launch—while aligning strategy, people, and processes. By doing so, it transforms innovation from a chaotic, siloed initiative into a structured, cross-functional capability.

Capturing and Prioritising the Right Ideas

The innovation process begins long before development starts. It starts with identifying the right ideas—ideas that solve genuine problems, align with market trends, and fit within the organisation’s capabilities. NPD software provides a centralised platform where ideas from various sources—R&D, customer feedback, competitive research—can be collected, evaluated, and prioritised.

With features like idea scoring, workflows, and review gates, the software ensures that only the most promising concepts move forward. This reduces wasted effort and channels resources toward high-impact innovation.

Enhancing Cross-Functional Collaboration

One of the most common barriers to innovation is the lack of collaboration between departments. Marketing may not know what R&D is developing. Finance may not see early cost implications. Quality and regulatory teams often get involved too late in the process.

NPD software addresses this by fostering cross-functional visibility. It breaks down silos by bringing stakeholders together on a unified platform where they can access real-time updates, share documents, provide input, and stay aligned on project goals. This leads to better communication, fewer delays, and faster time to market.

Embedding Structure into the Innovation Process

Creativity is essential to innovation—but so is structure. NPD software introduces repeatable, stage-gated processes that ensure every new product idea is validated at each step—technically, commercially, and financially. From feasibility assessments to business case evaluations, the software ensures innovation efforts are both bold and grounded.

By standardising workflows and approvals, organisations can manage risk more effectively and eliminate guesswork. It’s not about stifling innovation—it’s about enabling it with the right guardrails.

Integrating Data and Driving Informed Decisions

Smart innovation depends on data—from market forecasts and competitor benchmarks to resource availability and projected ROI. NPD software integrates with core systems like ERP, CRM, and PLM, creating a single source of truth for all decision-makers.

Dashboards and analytics built into the software offer visibility into the innovation pipeline, project health, resource utilisation, and budget performance. This enables leaders to make timely, informed decisions and pivot strategies when needed.

Scaling Innovation Across the Enterprise

As organisations grow, innovation becomes more complex. NPD software helps scale innovation efforts by providing a framework that can be applied across teams, business units, and regions. It supports portfolio management, allowing companies to balance short-term wins with long-term strategic bets.

With enterprise-grade NPD tools, innovation becomes a capability—not just a department.

Final Thoughts

In today’s competitive markets, innovation is no longer a side project—it’s a business imperative. NPD software plays a foundational role in turning innovation into a disciplined, collaborative, and data-driven process. By empowering teams with the tools they need to innovate effectively, companies can bring better products to market—faster and smarter.

[gauravawasthi]

Revolutionizing Production: How Teamcenter PLM Streamlines Your Manufacturing Process

In today’s fiercely competitive manufacturing landscape, efficiency, accuracy, and speed are paramount. Companies are constantly seeking innovative ways to optimize their operations, from initial design to final product delivery. This is where Product Lifecycle Management (PLM) software, specifically Siemens Teamcenter, emerges as a game-changer. At DDSPLM, we understand the complexities of modern manufacturing. We recognize that disconnected systems, manual processes, and communication silos can lead to delays, errors, and significant cost overruns. Teamcenter PLM comes to the rescue, offering a comprehensive solution to streamline your entire manufacturing process.

What Teamcenter PLM Can Do to Streamline the Manufacturing Process

Teamcenter PLM provides a unified, digital environment that connects every stage of your product’s journey. Here’s how it empowers manufacturers to achieve unprecedented levels of efficiency:

Centralized Data Management

Manufacturing Process Planning and Data Management (MPP)

Enhanced Collaboration and Communication

Streamlined Change Management

Digital Twin and Digital Thread

Teamcenter Advantage: Why It Stands Out

Teamcenter’s reputation as a leading PLM solution is well-earned. Its advantages for manufacturing are numerous:

Unmatched Breadth and Depth: Teamcenter offers a comprehensive suite of modules that cover every aspect of PLM, from product design and data management to manufacturing process planning, quality, and compliance. This eliminates the need for disparate systems and provides a truly integrated solution.

Scalability and Adaptability: Whether you’re a small startup or a large enterprise, Teamcenter can scale to meet your evolving needs. Its flexible architecture allows it to adapt to changing business requirements and market demands.

Industry Leadership: Recognized by leading analyst firms, Teamcenter is trusted by companies across diverse industries for its robust performance, usability, and ability to drive innovation.

Reduced Time-to-Market and Costs: By streamlining processes, improving collaboration, and reducing errors, Teamcenter significantly accelerates product development cycles and minimizes manufacturing costs.

Improved Product Quality and Compliance: Centralized data, standardized processes, and embedded quality management features help ensure that products meet stringent quality standards and regulatory requirements.

Why Choose DDSPLM?

Implementing a powerful PLM system like Teamcenter requires expertise, experience, and a commitment to customer success. This is where DDSPLM shines. At DDSPLM, we are a Siemens Smart Expert Partner with validated expertise in Teamcenter PLM. Our team brings:

Deep Domain Knowledge

Proven Implementation Methodology

Comprehensive Support

Customer-Centric Approach

Conclusion:-

In the relentless pursuit of manufacturing excellence, Teamcenter PLM is an indispensable tool. It transforms your operations from a series of disconnected stages into a cohesive, efficient, and intelligent ecosystem. By embracing Teamcenter with a trusted partner like DDSPLM, you’re not just adopting software; you’re investing in a strategic advantage that will drive innovation, boost profitability, and secure your position as a leader in the manufacturing industry.

[this-week-in-rust]

This Week in Rust 518

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Project/Tooling Updates

Strobe Crate

System dependencies are hard (so we made them easier)

Observations/Thoughts

Trying to invent a better substring search algorithm

Improving Node.js with Rust-Wasm Library

Mixing C# and Rust - Interop

A fresh look on incremental zero copy serialization

Make the Rust compiler 5% faster with this one weird trick

Part 3: Rowing Afloat Datatype Boats

Recreating concurrent futures combinators in smol

Unpacking some Rust ergonomics: getting a single Result from an iterator of them

Idea: "Using Rust", a living document

Object Soup is Made of Indexes

Analyzing Data 180,000x Faster with Rust

Issue #10: Serving HTML

Rust vs C on an ATTiny85; an embedded war story

Rust Walkthroughs

Analyzing Data /,000x Faster with Rust

Fully Automated Releases for Rust Projects

Make your Rust code unit testable with dependency inversion

Nine Rules to Formally Validate Rust Algorithms with Dafny (Part 2): Lessons from Verifying the range-set-blaze Crate

[video] Let's write a message broker using QUIC - Broke But Quick Episode 1

[video] Publishing Messages over QUIC Streams!! - Broke But Quick episode 2

Miscellaneous

[video] Associated types in Iterator bounds

[video] Rust and the Age of High-Integrity Languages

[video] Implementing (part of) a BitTorrent client in Rust

Crate of the Week

This week's crate is cargo-show-asm, a cargo subcommand to show the optimized assembly of any function.

Thanks to Kornel for the suggestion!

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

* Hyperswitch (Hacktoberfest)- [FEATURE] separate payments_session from payments core * Hyperswitch (Hacktoberfest)- [NMI] Use connector_response_reference_id as reference to merchant * Hyperswitch (Hacktoberfest)- [Airwallex] Use connector_response_reference_id as reference to merchant * Hyperswitch (Hacktoberfest)- [Worldline] Use connector_response_reference_id as reference to merchant * Ockam - Make ockam project delete (no args) interactive by asking the user to choose from a list of space and project names to delete (tuify) * Ockam - Validate CBOR structs according to the cddl schema for authenticator/direct/types * Ockam - Slim down the NodeManagerWorker for node / node status

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

397 pull requests were merged in the last week

rewrite gdb pretty-printer registration

add FileCheck annotations to mir-opt tests

add MonoItems and Instance to stable_mir

add a csky-unknown-linux-gnuabiv2hf target

add a test showing failing closure signature inference in new solver

add new simpler and more explicit syntax for check-cfg

add stable Instance::body() and RustcInternal trait

automatically enable cross-crate inlining for small functions

avoid a track_errors by bubbling up most errors from check_well_formed

avoid having rustc_smir depend on rustc_interface or rustc_driver

coverage: emit mappings for unused functions without generating stubs

coverage: emit the filenames section before encoding per-function mappings

coverage: fix inconsistent handling of function signature spans

coverage: move most per-function coverage info into mir::Body

coverage: simplify the injection of coverage statements

disable missing_copy_implementations lint on non_exhaustive types

do not bold main message in --error-format=short

don't ICE when encountering unresolved regions in fully_resolve

don't compare host param by name

don't crash on empty match in the nonexhaustive_omitted_patterns lint

duplicate ~const bounds with a non-const one in effects desugaring

eliminate rustc_attrs::builtin::handle_errors in favor of emitting errors directly

fix a performance regression in obligation deduplication

fix implied outlives check for GAT in RPITIT

fix spans for removing .await on for expressions

fix suggestion for renamed coroutines feature

implement an internal lint encouraging use of Span::eq_ctxt

implement jump threading MIR opt

implement rustc part of RFC 3127 trim-paths

improve display of parallel jobs in rustdoc-gui tester script

initiate the inner usage of cfg_match (Compiler)

lint non_exhaustive_omitted_patterns by columns

location-insensitive polonius: consider a loan escaping if an SCC has member constraints applied only

make #[repr(Rust)] incompatible with other (non-modifier) representation hints like C and simd

make rustc_onunimplemented export path agnostic

mention into_iter on borrow errors suggestions when appropriate

mention the syntax for use on mod foo; if foo doesn't exist

panic when the global allocator tries to register a TLS destructor

point at assoc fn definition on type param divergence

preserve unicode escapes in format string literals when pretty-printing AST

properly account for self ty in method disambiguation suggestion

report unused_import for empty reexports even it is pub

special case iterator chain checks for suggestion

strict provenance unwind

suggest ; after bare match expression E0308

suggest constraining assoc types in more cases

suggest relaxing implicit type Assoc: Sized; bound

suggest removing redundant arguments in format!()

uplift movability and mutability, the simple way

miri: avoid a linear scan over the entire int_to_ptr_map on each deallocation

miri: fix rounding mode check in SSE4.1 round functions

miri: intptrcast: remove information about dead allocations

disable effects in libcore again

add #[track_caller] to Option::unwrap_or_else

specialize Bytes<R>::next when R is a BufReader

make TCP connect handle EINTR correctly

on Windows make read_dir error on the empty path

hashbrown: add low-level HashTable API

codegen_gcc: add support for NonNull function attribute

codegen_gcc: fix #[inline(always)] attribute and support unsigned comparison for signed integers

codegen_gcc: fix endianness

codegen_gcc: fix int types alignment

codegen_gcc: optimize popcount implementation

codegen_gcc: optimize u128/i128 popcounts further

cargo add: Preserve more comments

cargo remove: Preserve feature comments

cargo replace: Partial-version spec support

cargo: Provide next steps for bad -Z flag

cargo: Suggest cargo-search on bad commands

cargo: adjust -Zcheck-cfg for new rustc syntax and behavior

cargo: if there's a version in the lock file only use that exact version

cargo: make the precise field of a source an Enum

cargo: print environment variables for build script executions with -vv

cargo: warn about crate name's format when creating new crate

rustdoc: align stability badge to baseline instead of bottom

rustdoc: avoid allocating strings primitive link printing

clippy: map_identity: allow closure with type annotations

clippy: map_identity: recognize tuple identity function

clippy: add lint for struct field names

clippy: don't emit needless_pass_by_ref_mut if the variable is used in an unsafe block or function

clippy: make multiple_unsafe_ops_per_block ignore await desugaring

clippy: needless pass by ref mut closure non async fn

clippy: now declare_interior_mutable_const and borrow_interior_mutable_const respect the ignore-interior-mutability configuration entry

clippy: skip if_not_else lint for '!= 0'-style checks

clippy: suggest passing function instead of calling it in closure for option_if_let_else

clippy: warn missing_enforced_import_renames by default

rust-analyzer: generate descriptors for all unstable features

rust-analyzer: add command for only opening external docs and attempt to fix vscode-remote issue

rust-analyzer: add incorrect case diagnostics for module names

rust-analyzer: fix VS Code detection for Insiders version

rust-analyzer: import trait if needed for unqualify_method_call assist

rust-analyzer: pick a better name for variables introduced by replace_is_some_with_if_let_some

rust-analyzer: store binding mode for each instance of a binding independently

perf: add NES emulation runtime benchmark

Rust Compiler Performance Triage

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

Add f16 and f128 float types

Unicode and escape codes in literals

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

[disposition: merge] Consider alias bounds when computing liveness in NLL (but this time sound hopefully)

[disposition: close] regression: parameter type may not live long enough

[disposition: merge] Remove support for compiler plugins.

[disposition: merge] rustdoc: Document lack of object safety on affected traits

[disposition: merge] Stabilize Ratified RISC-V Target Features

[disposition: merge] Tracking Issue for const mem::discriminant

New and Updated RFCs

[new] eRFC: #[should_move] attribute for per-function opting out of Copy semantics

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2023-10-25 - 2023-11-22 🦀

Virtual

2023-10-30 | Virtual (Melbourne, VIC, AU) | Rust Melbourne

(Hybrid - online & in person) October 2023 Rust Melbourne Meetup

2023-10-31 | Virtual (Europe / Africa) | Rust for Lunch

Rust Meet-up

2023-11-01 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

ECS with Bevy Game Engine

2023-11-01 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2023-11-02 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-07 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn | Mirror

2023-11-07 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group, First Tuesdays

2023-11-09 | Virtual (Nuremberg, DE) | Rust Nuremberg

Rust Nürnberg online

2023-11-14 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2023-11-15 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Building Our Own Locks (Atomics & Locks Chapter 9)

2023-11-15 | Virtual (Richmond, VA, US) | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

2023-11-15 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2023-11-16 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-07 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn | Mirror

2023-11-21 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

Europe

2023-10-25 | Dublin, IE | Rust Dublin

Biome, web development tooling with Rust

2023-10-25 | Paris, FR | Rust Paris

Rust for the web - Paris meetup #61

2023-10-25 | Zagreb, HR | impl Zagreb for Rust

Rust Meetup 2023/10: Lunatic

2023-10-26 | Augsburg, DE | Rust - Modern Systems Programming in Leipzig

Augsburg Rust Meetup #3

2023-10-26 | Copenhagen, DK | Copenhagen Rust Community

Rust metup #41 sponsored by Factbird

2023-10-26 | Delft, NL | Rust Nederland

Rust at TU Delft

2023-10-26 | Lille, FR | Rust Lille

Rust Lille #4 at SFEIR

2022-10-30 | Stockholm, SE | Stockholm Rust

Rust Meetup @Aira + Netlight

2023-11-01 | Cologne, DE | Rust Cologne

Web-applications with axum: Hello CRUD!

2023-11-07 | Bratislava, SK | Bratislava Rust Meetup Group

Rust Meetup by Sonalake

2023-11-07 | Brussels, BE | Rust Aarhus

Rust Aarhus - Rust and Talk beginners edition

2023-11-07 | Lyon, FR | Rust Lyon

Rust Lyon Meetup #7

2023-11-09 | Barcelona, ES | BcnRust

11th BcnRust Meetup

2023-11-09 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup at Browns

2023-11-21 | Augsburg, DE | Rust - Modern Systems Programming in Leipzig

GPU processing in Rust

2023-11-23 | Biel/Bienne, CH | Rust Bern

Rust Talks Bern @ Biel: Embedded Edition

North America

2023-10-25 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2023-10-25 | Chicago, IL, US | Deep Dish Rust

Rust Happy Hour

2023-11-01 | Brookline, MA, US | Boston Rust Meetup

Boston Common Rust Lunch

2023-11-08 | Boulder, CO, US | Boulder Rust Meetup

Let's make a Discord bot!

2023-11-14 | New York, NY, US | Rust NYC

Rust NYC Monthly Mixer: Share, Show, & Tell! 🦀

2023-11-14 | Seattle, WA, US | Cap Hill Rust Coding/Hacking/Learning

Rusty Coding/Hacking/Learning Night

2023-11-15 | Richmond, VA, US + Virtual | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

2023-11-16 | Nashville, TN, US | Music City Rust Developers

Python loves Rust!

2023-11-16 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2023-11-21 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2023-11-22 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

Oceania

2023-10-26 | Brisbane, QLD, AU | Rust Brisbane

October Meetup

2023-10-30 | Melbourne, VIC, AU + Virtual | Rust Melbourne

(Hybrid - in person & online) October 2023 Rust Melbourne Meetup

2023-11-21 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust meetup meeting

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

When your Rust build times get slower after adding some procedural macros:

We call that the syn tax :ferris:

– Janet on Fosstodon

Thanks to Jacob Pratt for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[tonymattny]

BFSI Software Testing: Elevate Financial Software Quality with ideyaLabs’ Proven Services

The Future of BFSI Software Testing: Ensuring Security and Compliance with ideyaLabs

Banks and financial institutions shape the backbone of today’s digital economy. Digital transformation in the banking, financial services, and insurance (BFSI) sector accelerated rapidly over the past decade. Consumers demand seamless experiences. Companies must meet stringent regulatory requirements. Reliable and secure software solutions power financial operations, but the risk of system malfunction, data breaches, or compliance failure remains high. Rigorous BFSI software testing emerges as the foundation for flawless digital banking.

Why BFSI Software Testing is Essential for Banks and Financial Institutions

Highly sensitive transactions take place every second in the BFSI sector. Customers trust financial software to safeguard their data and financial assets. A minor glitch can undermine this confidence and cause significant losses. ideyaLabs recognizes the stakes. BFSI software testing in 2025 has to deal with increasingly sophisticated challenges. Real-time payment systems, mobile banking, online lending, wealth management platforms, and insurance claim processing depend on complex integrated systems. Testing verifies accuracy, security, interoperability, and performance.

Digital-First Banking Amplifies Software Testing Demands

Customer expectations continue to evolve. Institutions roll out omnichannel capabilities, chatbots, AI-driven customer service, and instant payments. ideyaLabs’ BFSI software testing services forecast future demands. They ensure flawless integration, consistent experience, and effective data protection across channels. Testing strategies consider expansive device and browser variations, cyber threats, and accessibility standards. Financial institutions use ideyaLabs’ expertise to validate innovative solutions before launch.

BFSI Software Testing Safeguards Regulatory Compliance

Financial regulations are strict. Non-compliance can result in heavy penalties and reputational damage. ideyaLabs employs industry-aligned BFSI software testing services to ensure seamless compliance. Test automation covers anti-money laundering (AML), know your customer (KYC), and payment card industry (PCI DSS) standards. Tests uncover gaps in encryption, audit trails, and authentication mechanisms. Regulatory requirements evolve, and so ideyaLabs’ testing frameworks adapt continually to ensure organizations always remain audit ready.

Mitigate Risks of Digital Transformation With Expert Testing

New-age banking applications process billions of transactions annually. Systems need to be resilient and scalable. ideyaLabs’ BFSI software testing accelerates release cycles and reduces production risk. End-to-end automation and thorough performance testing protect platforms from outages during peak loads. Simulation of real-world transaction volumes reveals potential bottlenecks. Continuous integration and continuous delivery (CI/CD) pipelines with embedded testing allow BFSI institutions to release features at speed without sacrificing quality.

Comprehensive Testing Solutions for Complex Financial Applications

The BFSI sector requires more than basic functional testing. ideyaLabs delivers a full spectrum of dedicated BFSI software testing services:

Functional Testing: Validate workflows, business rules, calculations, and integrations.

Security Testing: Identify vulnerabilities, protect customer data, prevent unauthorized access.

Performance Testing: Ensure fast response times, optimal throughput, and resource efficiency.

User Experience Testing: Test usability across platforms and devices.

Compliance Testing: Verify solutions adhere to international and regional standards.

Regression Testing: Safeguard core functionalities amid frequent updates.

Banks, payment processors, and insurance firms rely on ideyaLabs for tailored test automation frameworks, robust toolchains, and real-world experience in complex BFSI environments.

Addressing Unique BFSI Software Testing Challenges Head-On

The BFSI landscape poses unique hurdles. Core banking applications intertwine with legacy infrastructure. High data volumes need encrypted storage and transmission. Digital wallets, open banking APIs, and mobile payment platforms expand the attack vector for cybercriminals. ideyaLabs takes a proactive approach. BFSI software testing specialists simulate fraud attempts, penetration threats, and denial-of-service attacks. Real-time alerts and detailed reports allow immediate risk mitigation, keeping systems resilient.

Elevate Customer Trust with Precision Testing

Trust builds the foundation for any financial relationship. Undetected software bugs decrease customer satisfaction and invite regulatory attention. ideyaLabs integrates precision testing into every development lifecycle stage. Test case coverage aligns with business risk. Automated regression cycles catch defects before product launch. Integration with DevOps workflows ensures faster time-to-market for new features. Customers experience fewer outages, smooth transactions, and increased confidence.

The Role of Automation in Modern BFSI Software Testing

Manual testing falls short in today’s fast-paced financial innovation landscape. ideyaLabs champions automated BFSI software testing to achieve large-scale validation. Automation enables:

Faster feedback with every release cycle.

Reliable defect tracking and documentation.

Repeatable regression testing eliminating human error.

Performance benchmarks under real user loads.

Financial organizations streamline operations with test automation and reallocate resources towards customer-centric initiatives.

Test Data Management: Protecting Sensitive Financial Information

Test data management is critical for BFSI organizations. Unauthorized disclosure of customer data during testing constitutes a serious compliance risk. ideyaLabs enforces best practices in test data masking, anonymization, and secure storage. Testing environments replicate real-world conditions without exposing genuine customer details. Data privacy regulations stay in focus so organizations avoid severe legal and financial consequences.

Quality at Every Release Milepost: ideyaLabs’ Structured Approach

Quality assurance extends far beyond simple bug detection. ideyaLabs approaches BFSI software testing with a structured process:

Define business and regulatory requirements.

Map critical functionalities and data flows.

Develop exhaustive test scenarios.

Implement robust automation for quick releases.

Conduct periodic security and compliance reviews.

Integrate user experience (UX) validation.

Organizations receive comprehensive reports detailing test results, defect trends, and suggested improvements. Decision makers gain visibility into risk exposure and compliance posture.

Trends Driving BFSI Software Testing in 2025

Digital banking ecosystems keep advancing rapidly. Five trends drive the evolution of BFSI software testing:

Shift to cloud-native microservices and API-centric architectures.

Increased demand for real-time transaction processing.

Widespread adoption of artificial intelligence and machine learning models.

Enhanced focus on environmental, social, and governance (ESG) compliance.

Aggressive cyber threat landscape targeting financial systems.

ideyaLabs embeds advanced testing methods that evolve with these trends. Financial institutions remain future-proof and well-prepared.

Partner with ideyaLabs and Transform Your BFSI Software Testing Experience

BFSI enterprises recognize that robust software testing is not a luxury. It is an operational necessity. ideyaLabs stands out with unmatched domain expertise, end-to-end automation capabilities, and a strong focus on security and compliance. Banks, insurance companies, fintech startups, and payment platforms benefit from:

Faster go-to-market for new offerings.

Drastically reduced operational and reputational risk.

Elevated customer loyalty and satisfaction.

Assurance of regulatory compliance at every juncture.

Conclusion: Secure, Compliant, and Scalable BFSI Solutions with ideyaLabs

The BFSI industry requires unwavering trust and continuous innovation. Partnering with ideyaLabs reshapes your BFSI software testing for the digital era. ideyaLabs empowers organizations to deliver secure, reliable, and customer-centric financial products. Elevate your quality standards and gain a competitive edge with ideyaLabs. BFSI software testing from ideyaLabs unlocks the future of digital banking.