#debugging and testing APIs

[cognithtechnology]

Introduction to API Testing for Beginners Start your journey in API testing with our beginner-friendly introduction and essential tips.

[jimbuchan]

Hello, G'day or こんにちは

We have all witnessed the surge of automated online support engines over the past decade, which in a short period of time have progressed from a manual to an automated affair, always with the intended goal of increased convenience. Before the era of smart agents as we know it today, initially these engines started as semi-automated processes through 'bots', however, due to its repeditive nature and flowchart-like responses, the user-base started demanding smarter alternatives. Case in point, you may recall when automation first came on the scene it was in the form of friendly robot avatars which helped us do remedial tasks such as ordering pizza. The main benefit of these 1.0 versions of 'A.I.' was in the speed-of-delivery of the replies but this was based on determined responses which were programmed into the bot based on archived data from past customer requests rather than true Artificial Intelligence based on large language models (LLM's). From these early iterations of smart-bots came the obvious need for more granular (and human-like) responses as while bots were rapid in speed, the answers were limited based on company-curated data and not large swaths of public (and consumer) data which feed today's AI engines. The trade-off from programmatic-answers to factual and detailed responses ushered in the move to generative tools such as ChatGPT, Groq and the Salesforce AI engine AgentForce. Similar to how the latest AI systems provide fast and concise answers using LLM's, AgentForce provisions responses based on data that is both publicly available as well as data you feed it for custom, purpose-specific responses. For the developer or admin, AgentForce already provides Salesforce-specific queries on any SFDC subject matter such as Flows and debugging Apex, but going further for customer interactions, the proprietor can give their clients a tailored support experience. Supplementing the richness of your customized AI portal, AgentForce can also converse in a variety of languages such as French, German, Italian, Japanese and is soon expected to support over 40 languages. But the tool doesn't stop there… it also has the ability to converse in a specific flavor or dialect via the specified Language Locale (i.e. Australian, UK or US for English or Canadian or France en français).

Taking this further, the 'Tone' option gives your enterprise an added element of inflection by enabling your autonomous agent to communicate in a friendly (or casual) demeanor, or when a linguistically proper emphasis is required, the 'formal' option can be used. Does your business have a further need to refine the Locale and Tone with a made-to-order resonance? Bolt-on applications to Salesforce such as AirCall and JustCall gives further customization options for your voice (CTI) customers by introducing sentiment to your language such as sincerity, empathy or candidness. Where bots used to converse by rigid programmability, advancements in Natural Language processing gives your customer the option to communicate on their terms, and on their choice of platform, be it voice, chat or email. Taking this concept further, all of this valuable AI data can also be used in your everyday applications via the new AgentForce 2dx tool, where you can call an action within internal workflows, or enable a response from a complex orchestration or process within your other systems via API or Flow. In a short period of time, the automated service landscape has evolved to almost human-like standards, and while there are many advancements still to come (as it's only been 6 months since AgentForce was released for General Availability), investing your team's time to realize the potential for your enterprise can pay dividends if adopted properly. Should your firm have even one use-case that qualifies, taking advantage of this early can give you an edge over your competition (which if they are not currently in 'beta testing' mode, are most likely already using it).

__________________________________________________________________________________________ Title image by GabiMedia via Deviant Art | JustCall by SaaS Labs | AgentForce 2dx by Salesforce AirCall by aircall.io | Max Headroom / Matt Frewer by ABC, via The Verge

[thepearl256]

Top Tools for Web Development in 2025

Web development is an ever-evolving field, requiring developers to stay updated with the latest tools, frameworks, and software. These tools not only enhance productivity but also simplify complex development processes. Whether you’re building a small business website or a complex web application, having the right tools in your toolkit can make all the difference. Here’s a rundown of the top…

[intelliatech]

Top 10 ChatGPT Prompts For Software Developers

ChatGPT can do a lot more than just code creation and this blog post is going to be all about that. We have curated a list of ChatGPT prompts that will help software developers with their everyday tasks. ChatGPT can respond to questions and can compose codes making it a very helpful tool for software engineers.

While this AI tool can help developers with the entire SDLC (Software Development Lifecycle), it is important to understand how to use the prompts effectively for different needs.

Prompt engineering gives users accurate results. Since ChatGPT accepts prompts, we receive more precise answers. But a lot depends on how these prompts are formulated. 

To Get The Best Out Of ChatGPT, Your Prompts Should Be:

Clear and well-defined. The more detailed your prompts, the better suggestions you will receive from ChatGPT.

Specify the functionality and programming language. Not specifying what you exactly need might not give you the desired results.

Phrase your prompts in a natural language, as if asking someone for help. This will make ChatGPT understand your problem better and give more relevant outputs.

Avoid unnecessary information and ambiguity. Keep it not only to the point but also inclusive of all important details.

Top ChatGPT Prompts For Software Developers

Let’s quickly have a look at some of the best ChatGPT prompts to assist you with various stages of your Software development lifecycle.

1. For Practicing SQL Commands;

2. For Becoming A Programming Language Interpreter;

3. For Creating Regular Expressions Since They Help In Managing, Locating, And Matching Text.

4. For Generating Architectural Diagrams For Your Software Requirements.

Prompt Examples: I want you to act as a Graphviz DOT generator, an expert to create meaningful diagrams. The diagram should have at least n nodes (I specify n in my input by writing [n], 10 being the default value) and to be an accurate and complex representation of the given input. Each node is indexed by a number to reduce the size of the output, should not include any styling, and with layout=neato, overlap=false, node [shape=rectangle] as parameters. The code should be valid, bugless and returned on a single line, without any explanation. Provide a clear and organized diagram, the relationships between the nodes have to make sense for an expert of that input. My first diagram is: “The water cycle [8]”.  

5. For Solving Git Problems And Getting Guidance On Overcoming Them.

Prompt Examples: “Explain how to resolve this Git merge conflict: [conflict details].” 6. For Code generation- ChatGPT can help generate a code based on descriptions given by you. It can write pieces of codes based on the requirements given in the input. Prompt Examples: -Write a program/function to {explain functionality} in {programming language} -Create a code snippet for checking if a file exists in Python. -Create a function that merges two lists into a dictionary in JavaScript.  

7. For Code Review And Debugging: ChatGPT Can Review Your Code Snippet And Also Share Bugs.

Prompt Examples: -Here’s a C# code snippet. The function is supposed to return the maximum value from the given list, but it’s not returning the expected output. Can you identify the problem? [Enter your code here] -Can you help me debug this error message from my C# program: [error message] -Help me debug this Python script that processes a list of objects and suggests possible fixes. [Enter your code here]

8. For Knowing The Coding Best Practices And Principles: It Is Very Important To Be Updated With Industry’s Best Practices In Coding. This Helps To Maintain The Codebase When The Organization Grows.

Prompt Examples: -What are some common mistakes to avoid when writing code? -What are the best practices for security testing? -Show me best practices for writing {concept or function} in {programming language}.  

9. For Code Optimization: ChatGPT Can Help Optimize The Code And Enhance Its Readability And Performance To Make It Look More Efficient.

Prompt Examples: -Optimize the following {programming language} code which {explain the functioning}: {code snippet} -Suggest improvements to optimize this C# function: [code snippet] -What are some strategies for reducing memory usage and optimizing data structures? 

10. For Creating Boilerplate Code: ChatGPT Can Help In Boilerplate Code Generation.

Prompt Examples: -Create a basic Java Spring Boot application boilerplate code. -Create a basic Python class boilerplate code

11. For Bug Fixes: Using ChatGPT Helps Fixing The Bugs Thus Saving A Large Chunk Of Time In Software Development And Also Increasing Productivity.

Prompt Examples: -How do I fix the following {programming language} code which {explain the functioning}? {code snippet} -Can you generate a bug report? -Find bugs in the following JavaScript code: (enter code)  

12. Code Refactoring- ChatGPt Can Refactor The Code And Reduce Errors To Enhance Code Efficiency, Thus Making It Easier To Modify In The Future.

Prompt Examples –What are some techniques for refactoring code to improve code reuse and promote the use of design patterns? -I have duplicate code in my project. How can I refactor it to eliminate redundancy?  

13. For Choosing Deployment Strategies- ChatGPT Can Suggest Deployment Strategies Best Suited For A Particular Project And To Ensure That It Runs Smoothly.

Prompt Examples -What are the best deployment strategies for this software project? {explain the project} -What are the best practices for version control and release management?  

14. For Creating Unit Tests- ChatGPT Can Write Test Cases For You

Prompt Examples: -How does test-driven development help improve code quality? -What are some best practices for implementing test-driven development in a project? These were some prompt examples for you that we sourced on the basis of different requirements a developer can have. So whether you have to generate a code or understand a concept, ChatGPT can really make a developer’s life by doing a lot of tasks. However, it certainly comes with its own set of challenges and cannot always be completely correct. So it is advisable to cross-check the responses. Hope this helps. Visit us- Intelliatech

[souhaillaghchimdev]

How to Build Software Projects for Beginners

Building software projects is one of the best ways to learn programming and gain practical experience. Whether you want to enhance your resume or simply enjoy coding, starting your own project can be incredibly rewarding. Here’s a step-by-step guide to help you get started.

1. Choose Your Project Idea

Select a project that interests you and is appropriate for your skill level. Here are some ideas:

To-do list application

Personal blog or portfolio website

Weather app using a public API

Simple game (like Tic-Tac-Toe)

2. Define the Scope

Outline what features you want in your project. Start small and focus on the minimum viable product (MVP) — the simplest version of your idea that is still functional. You can always add more features later!

3. Choose the Right Tools and Technologies

Based on your project, choose the appropriate programming languages, frameworks, and tools:

Web Development: HTML, CSS, JavaScript, React, or Django

Mobile Development: Flutter, React Native, or native languages (Java/Kotlin for Android, Swift for iOS)

Game Development: Unity (C#), Godot (GDScript), or Pygame (Python)

4. Set Up Your Development Environment

Install the necessary software and tools:

Code editor (e.g., Visual Studio Code, Atom, or Sublime Text)

Version control (e.g., Git and GitHub for collaboration and backup)

Frameworks and libraries (install via package managers like npm, pip, or gems)

5. Break Down the Project into Tasks

Divide your project into smaller, manageable tasks. Create a to-do list or use project management tools like Trello or Asana to keep track of your progress.

6. Start Coding!

Begin with the core functionality of your project. Don’t worry about perfection at this stage. Focus on getting your code to work, and remember to:

Write clean, readable code

Test your code frequently

Commit your changes regularly using Git

7. Test and Debug

Once you have a working version, thoroughly test it. Look for bugs and fix any issues you encounter. Testing ensures your software functions correctly and provides a better user experience.

8. Seek Feedback

Share your project with friends, family, or online communities. Feedback can provide valuable insights and suggestions for improvement. Consider platforms like GitHub to showcase your work and get input from other developers.

9. Iterate and Improve

Based on feedback, make improvements and add new features. Software development is an iterative process, so don’t hesitate to refine your project continuously.

10. Document Your Work

Write documentation for your project. Include instructions on how to set it up, use it, and contribute. Good documentation helps others understand your project and can attract potential collaborators.

Conclusion

Building software projects is a fantastic way to learn and grow as a developer. Follow these steps, stay persistent, and enjoy the process. Remember, every project is a learning experience that will enhance your skills and confidence!

[eazystudioin]

The Ultimate Guide to Online Media Tools: Convert, Compress, and Create with Ease

In the fast-paced digital era, online tools have revolutionized the way we handle multimedia content. From converting videos to compressing large files, and even designing elements for your website, there's a tool available for every task. Whether you're a content creator, a developer, or a business owner, having the right tools at your fingertips is essential for efficiency and creativity. In this blog, we’ll explore the most powerful online tools like Video to Audio Converter Online, Video Compressor Online Free, Postman Online Tool, Eazystudio, and Favicon Generator Online—each playing a unique role in optimizing your digital workflow.

Video to Audio Converter Online �� Extract Sound in Seconds

Ever wanted just the audio from a video? Maybe you’re looking to pull music, dialogue, or sound effects for a project. That’s where a Video to Audio Converter Online comes in handy. These tools let you convert video files (MP4, AVI, MOV, etc.) into MP3 or WAV audio files in just a few clicks. No software installation required.

Using a Video to Audio Converter Online is ideal for:

Podcast creators pulling sound from interviews.

Music producers isolating tracks for remixing.

Students or professionals transcribing lectures or meetings.

The beauty lies in its simplicity—upload the video, choose your audio format, and download. It’s as straightforward as that

2. Video Compressor Online Free – Reduce File Size Without Losing Quality

Large video files are a hassle to share or upload. Whether you're sending via email, uploading to a website, or storing in the cloud, a bulky file can be a roadblock. This is where a Video Compressor Online Free service shines.

Key benefits of using a Video Compressor Online Free:

Shrink video size while maintaining quality.

Fast, browser-based compression with no downloads.

Compatible with all major formats (MP4, AVI, MKV, etc.).

If you're managing social media content, YouTube uploads, or email campaigns, compressing videos ensures faster load times and better performance—essential for keeping your audience engaged.

3. Postman Online Tool – Streamline Your API Development

Developers around the world swear by Postman, and the Postman Online Tool brings that power to the cloud. This tool is essential for testing APIs, monitoring responses, and managing endpoints efficiently—all without leaving your browser.

Features of Postman Online Tool include:

Send GET, POST, PUT, DELETE requests with real-time response visualization.

Organize your API collections for collaborative development.

Automate testing and environment management.

Whether you're debugging or building a new application,Postman Online Tool provides a robust platform that simplifies complex API workflows, making it a must-have in every developer's toolkit.

4. Eazystudio – Your Creative Powerhouse

When it comes to content creation and design, Eazystudio is a versatile solution for both beginners and professionals. From editing videos and photos to crafting promotional content, Eazystudio makes it incredibly easy to create high-quality digital assets.

Highlights of Eazystudio:

User-friendly interface for designing graphics, videos, and presentations.

Pre-built templates for social media, websites, and advertising.

Cloud-based platform with drag-and-drop functionality.

Eazystudio is perfect for marketers, influencers, and businesses looking to stand out online. You don't need a background in graphic design—just an idea and a few clicks.

5. Favicon Generator Online – Make Your Website Look Professional

A small icon can make a big difference. The Favicon Generator Online helps you create favicons—the tiny icons that appear next to your site title in a browser tab. They enhance your website’s branding and improve user recognition.

With a Favicon Generator Online, you can:

Convert images (JPG, PNG, SVG) into favicon.ico files.

Generate multiple favicon sizes for different platforms and devices.

Instantly preview how your favicon will look in a browser tab or bookmark list.

For web developers and designers, using a Favicon Generator Online is an easy yet impactful way to polish a website and improve brand presence.

Why These Tools Matter in 2025

The future is online. As remote work, digital content creation, and cloud computing continue to rise, browser-based tools will become even more essential. Whether it's a Video to Audio Converter Online that simplifies sound editing, a Video Compressor Online Freefor seamless sharing, or a robust Postman Online Tool for development, these platforms boost productivity while cutting down on time and costs.

Meanwhile, platforms like Eazystudio empower anyone to become a designer, and tools like Favicon Generator Online ensure your brand always makes a professional first impression.

Conclusion

The right tools can elevate your workflow, save you time, and improve the quality of your digital output. Whether you're managing videos, developing APIs, or enhancing your website’s design, tools like Video to Audio Converter Online, Video Compressor Online Free, Postman Online Tool, Eazystudio, and Favicon Generator Online are indispensable allies in your digital toolbox.

So why wait? Start exploring these tools today and take your digital productivity to the next level

[multidimensionalsock]

What are HTTP requests?

HTTP (Hypertext Transfer Protocol) requests is one of the most common ways information is communicated between clients and servers on the internet. A client will go to the server to get resources or perform an action via a HTTP request.

HTTP requests follow a standard structure:

Request line - the request line specifies what HTTP method is being used (more on that below), the endpoint (a URL/URI, a server location on the web) that the request is being sent to. And what version of HTTP is being used.

Headers - Additional information that needs passing between client and server (cookies, authentication, OS version, etc)

Message body - data to be passed as part of the request.

HTTP has set methods which can be used for requests, they're used for different purposes.

HTTP methods

GET - used to retrieve data from a server

HEAD - is similar to get but has no body, it's usually used to assess if an API is currently available.

POST - used to send information to the server to create or update a resource using information stored in the body of the HTTP request.

PUT - Updates or creates a resource. PUT requests are idempotent, the results of them stay the same no matter how many times it's called.

DELETE - used to delete a resource from a server.

PATCH - used to update information on the server with a partial modification. E.g. updating only the title of an article.

TRACE - used as a loop back test, usually used for debugging and diagnostics of APIs

CONNECT - creates a tunnel connection to a server specified by the URL provider.

[this-week-in-rust]

This Week in Rust 599

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.bsky.social on Bluesky 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 Google Summer of Code 2025 selected projects

Foundation

10 Years of Stable Rust: An Infrastructure Story

Newsletters

This Month in Rust OSDev: April 2025 | Rust OSDev

The Embedded Rustacean Issue #45

Project/Tooling Updates

Avian Physics 0.3

Two months in Servo: CSS nesting, Shadow DOM, Clipboard API, and more

Cot v0.3: Even Lazier

Streaming data analytics, Fluvio 0.17.3 release

CGP v0.4 is Here: Unlocking Easier Debugging, Extensible Presets, and More

Rama v0.2

Observations/Thoughts

Bad Type Patterns - The Duplicate duck

Rust nightly features you should watch out for

Lock-Free Rust: How to Build a Rollercoaster While It’s on Fire

Simple & type-safe localization in Rust

From Rust to AVR assembly: Dissecting a minimal blinky program

Tarpaulins Week Of Speed

Rustls Server-Side Performance

Is Rust the Future of Programming?

Rust Walkthroughs

Functional asynchronous Rust

The Power of Compile-Time ECS Architecture in Rust

[video] Build with Naz : Spinner animation, lock contention, Ctrl+C handling for TUI and CLI

Miscellaneous

April 2025 Rust Jobs Report

Crate of the Week

This week's crate is brush, a bash compatible shell implemented completely in Rust.

Thanks to Josh Triplett for the 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.

If you are a feature implementer and would like your RFC to appear in this list, add a 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.

No calls for testing were issued this week by Rust, Rust language RFCs or Rustup.

Let us know if you would like your feature to be tracked as a part of this list.

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 - add ffi/rama-rhai: support ability to use services and layers written in rhai

rama - support akamai h2 passive fingerprint and expose in echo + fp services

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.

No Calls for papers or presentations were submitted this week.

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

397 pull requests were merged in the last week

Compiler

async drop fix for async_drop_in_place<T> layout for unspecified T

better error message for late/early lifetime param mismatch

perf: make the assertion in Ident::new debug-only

perf: merge typeck loop with static/const item eval loop

Library

implement (part of) ACP 429: add DerefMut to Lazy[Cell/Lock]

implement VecDeque::truncate_front()

Cargo

network: use Retry-After header for HTTP 429 responses

rustc: Don't panic on unknown bins

add glob pattern support for known_hosts

add support for -Zembed-metadata

fix tracking issue template link

make cargo script ignore workspaces

Rustdoc

rustdoc-json: remove newlines from attributes

ensure that temporary doctest folder is correctly removed even if doctests failed

Clippy

clippy: item_name_repetitions: exclude enum variants with identical path components

clippy: return_and_then: only lint returning expressions

clippy: unwrap_used, expect_used: accept macro result as receiver

clippy: add allow_unused config to missing_docs_in_private_items

clippy: add new confusing_method_to_numeric_cast lint

clippy: add new lint: cloned_ref_to_slice_refs

clippy: fix ICE in missing_const_for_fn

clippy: fix integer_division false negative for NonZero denominators

clippy: fix manual_let_else false negative when diverges on simple enum variant

clippy: fix unnecessary_unwrap emitted twice in closure

clippy: fix diagnostic paths printed by dogfood test

clippy: fix false negative for unnecessary_unwrap

clippy: make let_with_type_underscore help message into a suggestion

clippy: resolve through local re-exports in lookup_path

Rust-Analyzer

fix postfix snippets duplicating derefs

resolve doc path from parent module if outer comments exist on module

still complete parentheses & method call arguments if there are existing parentheses, but they are after a newline

Rust Compiler Performance Triage

Lot of changes this week. Overall result is positive, with one large win in type check.

Triage done by @panstromek. Revision range: 62c5f58f..718ddf66

Summary:

(instructions:u) mean range count Regressions ❌ (primary) 0.5% [0.2%, 1.4%] 113 Regressions ❌ (secondary) 0.5% [0.1%, 1.5%] 54 Improvements ✅ (primary) -2.5% [-22.5%, -0.3%] 45 Improvements ✅ (secondary) -0.9% [-2.3%, -0.2%] 10 All ❌✅ (primary) -0.3% [-22.5%, 1.4%] 158

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.

Tracking Issues & PRs

Rust

Tracking Issue for non_null_from_ref

Add std::io::Seek instance for std::io::Take

aarch64-softfloat: forbid enabling the neon target feature

Stabilize the avx512 target features

make std::intrinsics functions actually be intrinsics

Error on recursive opaque ty in HIR typeck

Remove i128 and u128 from improper_ctypes_definitions

Guarantee behavior of transmuting Option::<T>::None subject to NPO

Temporary lifetime extension through tuple struct and tuple variant constructors

Stabilize tcp_quickack

Change the desugaring of assert! for better error output

Make well-formedness predicates no longer coinductive

No Items entered Final Comment Period this week for Cargo, Rust RFCs, Language Reference, Language Team or Unsafe Code Guidelines.

Let us know if you would like your PRs, Tracking Issues or RFCs to be tracked as a part of this list.

New and Updated RFCs

RFC: Extended Standard Library (ESL)

Upcoming Events

Rusty Events between 2025-05-14 - 2025-06-11 🦀

Virtual

2025-05-15 | Hybrid (Redmond, WA, US) | Seattle Rust User Group

May, 2025 SRUG (Seattle Rust User Group) Meetup

2025-05-15 | Virtual (Girona, ES) | Rust Girona

Sessió setmanal de codificació / Weekly coding session

2025-05-15 | Virtual (Joint Meetup, Europe + Israel) | Rust Berlin + Rust Paris + London Rust Project Group + Rust Zürisee + Rust TLV + Rust Nürnberg + Rust Munich + Rust Aarhus + lunch.rs

🦀 Celebrating 10 years of Rust 1.0 🦀

2025-05-15 | Virtual (Zürich, CH) | Rust Zürisee

🦀 Celebrating 10 years of Rust 1.0 (co-event with berline.rs) 🦀

2025-05-18 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Rust Readers Discord Discussion: Async Rust

2025-05-19 | Virtual (Tel Aviv-yafo, IL) | Rust 🦀 TLV

Tauri: Cross-Platform desktop applications with Rust and web technologies

2025-05-20 | Hybrid (EU/UK) | Rust and C++ Dragons (former Cardiff)

Talk and Connect - Fullstack - with Goetz Markgraf and Ben Wishovich

2025-05-20 | Virtual (London, UK) | Women in Rust

Threading through lifetimes of borrowing - the Rust way

2025-05-20 | Virtual (Tel Aviv, IL) | Code Mavens 🦀 - 🐍 - 🐪

Rust at Work a conversation with Ran Reichman Co-Founder & CEO of Flarion

2025-05-20 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2025-05-21 | Hybrid (Vancouver, BC, CA) | Vancouver Rust

Linking

2025-05-22 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-05-22 | Virtual (Girona, ES) | Rust Girona

Sessió setmanal de codificació / Weekly coding session

2025-05-25 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Rust Readers Discord Discussion: Async Rust

2025-05-27 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Fourth Tuesday

2025-05-27 | Virtual (Tel Aviv, IL) | Code Mavens 🦀 - 🐍 - 🐪

Rust at Work - conversation with Eli Shalom & Igal Tabachnik of Eureka Labs

2025-05-29 | Virtual (Nürnberg, DE) | Rust Nuremberg

Rust Nürnberg online

2025-05-29 | Virtual (Tel Aviv-yafo, IL) | Rust 🦀 TLV

שיחה חופשית ווירטואלית על ראסט

2025-06-01 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Rust Readers Discord Discussion: Async Rust

2025-06-03 | Virtual (Tel Aviv-yafo, IL) | Rust 🦀 TLV

Why Rust? למה ראסט? -

2025-06-04 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2025-06-05 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-06-07 | Virtual (Kampala, UG) | Rust Circle Meetup

Rust Circle Meetup

2025-06-08 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Rust Readers Discord Discussion: Async Rust

2025-06-10 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Second Tuesday

2025-06-10 | Virtual (London, UK) | Women in Rust

👋 Community Catch Up

Asia

2025-05-17 | Delhi, IN | Rust Delhi

Rust Delhi Meetup #10

2025-05-24 | Bangalore/Bengaluru, IN | Rust Bangalore

May 2025 Rustacean meetup

2025-06-08 | Tel Aviv-yafo, IL | Rust 🦀 TLV

In person Rust June 2025 at AWS in Tel Aviv

Europe

2025-05-13 - 2025-05-17 | Utrecht, NL | Rust NL

RustWeek 2025

2025-05-14 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup

2025-05-15 | Berlin, DE | Rust Berlin

10 years anniversary of Rust 1.0

2025-05-15 | Oslo, NO | Rust Oslo

Rust 10-year anniversary @ Appear

2025-05-16 | Amsterdam, NL | RustNL

Rust Week Hackathon

2025-05-16 | Utrecht, NL | Rust NL Meetup Group

RustWeek Hackathon

2025-05-17 | Amsterdam, NL | RustNL

Walking Tour around Utrecht - Saturday

2025-05-20 | Dortmund, DE | Rust Dortmund

Talk and Connect - Fullstack - with Goetz Markgraf and Ben Wishovich

2025-05-20 | Aarhus, DK | Rust Aarhus

Hack Night - Robot Edition

2025-05-20 | Leipzig, SN, DE | Rust - Modern Systems Programming in Leipzig

Topic TBD

2025-05-22 | Augsburg, DE | Rust Augsburg

Rust meetup #13:A Practical Guide to Telemetry in Rust

2025-05-22 | Bern, CH | Rust Bern

2025 Rust Talks Bern #3 @zentroom

2025-05-22 | Paris, FR | Rust Paris

Rust meetup #77

2025-05-22 | Stockholm, SE | Stockholm Rust

Rust Meetup @UXStream

2025-05-27 | Basel, CH | Rust Basel

Rust Meetup #11 @ Letsboot Basel

2025-05-27 | Vienna, AT | Rust Vienna

Rust Vienna - May at Bitcredit 🦀

2025-05-29 | Oslo, NO | Rust Oslo

Rust Hack'n'Learn at Kampen Bistro

2025-05-31 | Stockholm, SE | Stockholm Rust

Ferris' Fika Forum #12

2025-06-04 | Ghent, BE | Systems Programming Ghent

Grow smarter with embedded Rust

2025-06-04 | München, DE | Rust Munich

Rust Munich 2025 / 2 - Hacking Evening

2025-06-04 | Oxford, UK | Oxford Rust Meetup Group

Oxford Rust and C++ social

2025-06-05 | München, DE | Rust Munich

Rust Munich 2025 / 2 - Hacking Evening

2025-06-11 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup

North America

2025-05-15 | Hybrid (Redmond, WA, US) | Seattle Rust User Group

May, 2025 SRUG (Seattle Rust User Group) Meetup

2025-05-15 | Mountain View, CA, US | Hacker Dojo

RUST MEETUP at HACKER DOJO

2025-05-15 | Nashville, TN, US | Music City Rust Developers

Using Rust For Web Series 2 : Why you, Yes You. Should use Hyperscript!

2025-05-15 | Hybrid (Redmond, WA, US) | Seattle Rust User Group

May, 2025 SRUG (Seattle Rust User Group) Meetup

2025-05-18 | Albuquerque, NM, US | Ideas and Coffee

Intro Level Rust Get-together

2025-05-20 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2025-05-21 | Hybrid (Vancouver, BC, CA) | Vancouver Rust

Linking

2025-05-28 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2025-05-29 | Atlanta, GA, US | Rust Atlanta

Rust-Atl

2025-06-05 | Saint Louis, MO, US | STL Rust

Leptos web framework

South America

2025-05-28 | Montevideo, DE, UY | Rust Meetup Uruguay

Primera meetup de Rust de 2025!

2025-05-31 | São Paulo, BR | Rust São Paulo Meetup

Encontro do Rust-SP na WillBank

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

If a Pin drops in a room, and nobody around understands it, does it make an unsound? #rustlang

– Josh Triplett on fedi

Thanks to Josh Triplett for the self-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

[khariscrypt]

The Ultimate Developer’s Guide to STON.fi API & SDK Demo App

In the fast-paced world of blockchain and decentralized finance (DeFi), efficiency is everything. Developers don’t have time to manually configure and troubleshoot every feature from scratch. What they need is a plug-and-play solution that simplifies complex integrations while maintaining flexibility.

That’s exactly what the STON.fi API & SDK Demo App delivers. This tool isn’t just a sample—it’s a fully functional blueprint designed to help developers seamlessly integrate STON.fi’s token swap functionalities into their projects.

Whether you're an independent developer, part of a startup, or working with an established blockchain project, this demo app can save you hours of coding and debugging while ensuring a smooth user experience.

Let's break it down into why this tool matters, what it offers, and how you can make the most of it.

Why Every Developer Should Pay Attention to This Tool

Building DeFi applications requires precision, speed, and reliability. You’re dealing with real-time token swaps, liquidity pools, and user funds—there’s no room for error.

Developing a decentralized exchange (DEX) or any other blockchain application means working with smart contracts, APIs, and SDKs. The STON.fi API & SDK Demo App eliminates the complexity by providing a ready-made environment that demonstrates how STON.fi’s swap function operates in real-time.

Rather than starting from zero, developers can study, test, and integrate working solutions—accelerating their workflow and reducing risks.

Key Features That Make a Difference

The STON.fi API & SDK Demo App isn’t just a basic code snippet; it’s a structured, well-designed tool for developers looking to integrate token swaps efficiently. Here’s what makes it stand out:

1. Full-Scale Swap Functionality

The demo app provides a complete token swap system, showing exactly how transactions are executed. It includes all the necessary elements, such as price calculations, transaction confirmations, and seamless execution on the TON blockchain.

2. Clean, Modular Code for Easy Integration

Well-documented and structured code allows developers to adapt the swap function to their own projects. This modular approach makes customization straightforward, ensuring that developers don’t have to modify complex backend structures.

3. Real-Time Data & Execution

Blockchain transactions happen in real-time, so any delay or miscalculation can impact the user experience. This demo app mirrors actual trading conditions, allowing developers to test how their systems will function under real-world circumstances.

4. Compatibility Across Different DeFi Platforms

Whether you're building a DEX, a liquidity management system, or a DeFi dashboard, this app is flexible enough to fit into various use cases. Developers can integrate the swap function without restructuring their entire application.

How Developers Can Use This Tool to Their Advantage

1. Speed Up Development Time

Instead of writing swap functionalities from scratch, developers can focus on building unique features and optimizing user experience while leveraging STON.fi’s ready-made framework.

2. Reduce Errors & Improve Security

Errors in DeFi transactions can lead to financial losses or security vulnerabilities. Since the STON.fi API & SDK Demo App is already tested and optimized, integrating its features helps developers avoid common mistakes.

3. Learn & Implement Best Practices

For developers new to blockchain integrations, this demo app serves as a learning resource. Studying how STON.fi’s swap function is structured provides valuable insights into writing efficient, scalable, and secure blockchain applications.

4. Scale DeFi Projects Without Hassle

As blockchain projects grow, they need scalable, efficient, and user-friendly solutions. The STON.fi demo app ensures that token swaps remain fast and seamless, regardless of transaction volume.

Who Should Use the STON.fi API & SDK Demo App

This tool is built for a wide range of developers, including:

Blockchain Engineers – Those integrating token swaps, liquidity pools, and DeFi features into their projects.

DeFi Startups – Teams looking for efficient solutions without spending months on development.

Crypto Enthusiasts – Developers exploring blockchain functionalities and testing real-world DeFi integrations.

Tech Entrepreneurs – Anyone looking to build scalable financial applications on the TON blockchain.

Final Thoughts: A Must-Have for Blockchain Developers

For any developer working in the DeFi and blockchain space, the STON.fi API & SDK Demo App is an invaluable resource. It streamlines the process of integrating token swaps, saves development time, and ensures that applications run smoothly and efficiently.

With clear documentation, real-time execution, and a flexible framework, this tool isn’t just a demo—it’s a blueprint for success. Whether you’re building your first DeFi project or optimizing an existing platform, this resource is designed to help you get the job done faster and better.

For developers who prioritize efficiency, security, and scalability, this is a game-changing tool that simplifies one of the most critical aspects of DeFi application development.

[qualityassurance11]

Best Practices for Successful Automation Testing Implementation 

Automation testing is an essential part of modern-day software development that accelerates delivery, reduces manual work, and improves software quality. But success in automation testing is not assured, it should be achieved by proper planning and execution along with proper compliance of best practices. 

In this blog, we will talk about key actionable strategies and best practices to ensure the successful implementation of automation testing in your projects. 

1. Start with a Clear Strategy 

Jumping straight into automation testing without a clear strategy will not always yield the desired results. Define the following: 

Objectives: Define the goals of the automation, whether it is about shorter test cycles, improved test coverage or eliminating human error. 

Scope: Set the areas of your application for automation and focus much on areas that have a high impact like regression and functional testing. 

Stakeholders: Get early involvement from the development, QA and product teams to avoid misalignment regarding expectations. 

A well-formed strategy helps guide the way and make sure everyone involved is aligned. 

2. Prioritize the Right Test Cases for Automation 

One of automation testing’s biggest mistakes with it is to use automation for everything. Rather than that, shape your test cases to that of: 

Are monotonous and time-consuming. 

Wherein critical for application functionality 

Have stable requirements. 

Some of these tests are regression tests, smoke tests, data-driven tests, etc. Do not automate the exploratory or highly dynamic tests that often get changed. 

3. Choose the Right Automation Tools 

The effectiveness of your automation testing initiative highly relies on appropriate tools selection. Look for tools that: 

Support the technology stack of your application (e.g., web, mobile, APIs). 

Give the flexibility to expand your project. 

Offer extensive reporting, reusability of scripts, and run across browsers. 

GhostQA is one example of a codeless platform that works well for teams across the skill set. GhostQA can let you focus on what matters and Auto Healing reduces your maintenance to enforce. 

4. Build a Strong Automation Framework 

An automation framework is the backbone of your automation testing process. It helps in standardization, reusability and scalability of test scripts. So, when you start designing your framework, make sure to leave some room for these features: 

Modularity: Split test scripts into reusable components 

Data-Driven Testing: Use Data-Driven Testing to separate test data from the scripts to provide flexibility. 

Error Handling: Install anti-malware solutions to prevent potential threats. 

A good framework streamlines collaboration and makes it easier to maintain your tests. 

5. Write High-Quality Test Scripts 

A good test script decides the reliability of your automation testing. To ensure script quality: 

When naming scripts, variables, or methods, use meaningful and descriptive names. 

For adaptability, you should leverage parameterization instead of hardcoding these values. 

Set up appropriate error-handling procedures for handling unforeseen problems. 

Do not add anything unnecessarily, the more complexity, the more difficult it is to debug and maintain. 

Tools such as GhostQA minimize the efforts put behind scripting providing no-code possibilities allowing even non-technical users to write robust tests. 

6. Regularly Maintain Your Automation Suite 

Even though automation testing is a great way to ensure quality in applications, one of its biggest challenges is keeping the test scripts updated with application changes. Keeping your test suite effective and up to date, regular maintenance. 

Best practices for maintenance include: 

Frequent Reviews: Conduct periodic audit of the test scripts to ensure that they are not outdated. 

Version Control: Utilize version control systems to maintain history of your script modifications. 

Auto-Healing Features: GhostQA and similar tools can track UI updates and modify scripts to reflect changes with little to no human intervention, minimizing maintenance costs. 

Take good care of your automation suite so that it doesn't become a liability. 

7. Address Flaky Tests 

Flaky tests—tests that pass or fail randomly—are a common issue in automation testing. They reduce trust in test results and take up time when debugging. To address flaky tests: 

Dig deeper into what might be the underlying causes — timing problems or dynamic elements. 

Use explicit waits instead of static waiting in tests to make them aligned with application behavior. 

Prefer smart detection-based tools (GhostQA, to be precise) to eliminate the chances of flaky tests. 

This translates into flourish as flakiness and is the most significant impact in strengthening confidence in your automation framework. 

8. Ensure Cross-Browser and Cross-Platform Compatibility 

Most modern applications work across many browsers and devices, so cross-compatibility testing is a necessity. Your automation testing suite must: 

Add test cases for popular browsers like Chrome, Firefox, Edge, and Safari. 

Testing across different operating systems on mobile (e.g., iOS/Android). 

GhostQA abstracts cross-browser and cross-platform testing so you can verify functionality in several types of environments without repeating yourself. 

9. Leverage AI and Smart Automation 

AI is revolutionizing automation testing with better efficiency and lesser maintenance cost. Next-generation tools like GhostQA powered by AI offer: 

Auto-Healing: Automatically adjust to any changes made to the app;such as modified UI elements 

Predictive Analysis: Showcase areas with the most potential high risk to prioritize tests. 

Optimized Execution: Run just the tests that yield the most performance insights. 

Use AI-Powered Tools as these can help you to increase the efficiency and accuracy of your testing. 

10. Monitor and Measure Performance 

To measure the effectiveness of your automation testing, you should track key metrics that include: 

Test Coverage: Number of automated tests covering application features. 

Execution Time: Time taken to execute automated test suites. 

Defect Detection Rate: Number of bugs detected in automation testing 

Flaky Test Rate: Frequency of inconsistent test results. 

Consistent assessment of these metrics helps in discovering the areas of improvement in your automation efforts while also exhibiting the ROI of the same. 

Conclusion 

So, the right approach of selecting the right tool and plan properly will help to do a successful automation testing implementation. This could be achieved by adopting best practices like prioritizing test cases, maintaining test scripts, making use of the AI-powered tools and collaborating with other stakeholders in the process. 

Tools like GhostQA, which come equipped with codeless testing, auto-healing features, and user-friendly interfaces, empower teams of both technical and non-technical backgrounds to streamline their automation processes and devote their attention to shipping quality software. 

[cognithtechnology]

Streamline Your Development Process with API Testing Enhance your development workflow with efficient API testing. Learn key strategies and benefits of thorough API testing.

[pentesttestingcorp]

SQL Injection in RESTful APIs: Identify and Prevent Vulnerabilities

SQL Injection (SQLi) in RESTful APIs: What You Need to Know

RESTful APIs are crucial for modern applications, enabling seamless communication between systems. However, this convenience comes with risks, one of the most common being SQL Injection (SQLi). In this blog, we’ll explore what SQLi is, its impact on APIs, and how to prevent it, complete with a practical coding example to bolster your understanding.

What Is SQL Injection?

SQL Injection is a cyberattack where an attacker injects malicious SQL statements into input fields, exploiting vulnerabilities in an application's database query execution. When it comes to RESTful APIs, SQLi typically targets endpoints that interact with databases.

How Does SQL Injection Affect RESTful APIs?

RESTful APIs are often exposed to public networks, making them prime targets. Attackers exploit insecure endpoints to:

Access or manipulate sensitive data.

Delete or corrupt databases.

Bypass authentication mechanisms.

Example of a Vulnerable API Endpoint

Consider an API endpoint for retrieving user details based on their ID:

from flask import Flask, request import sqlite3

app = Flask(name)

@app.route('/user', methods=['GET']) def get_user(): user_id = request.args.get('id') conn = sqlite3.connect('database.db') cursor = conn.cursor() query = f"SELECT * FROM users WHERE id = {user_id}" # Vulnerable to SQLi cursor.execute(query) result = cursor.fetchone() return {'user': result}, 200

if name == 'main': app.run(debug=True)

Here, the endpoint directly embeds user input (user_id) into the SQL query without validation, making it vulnerable to SQL Injection.

Secure API Endpoint Against SQLi

To prevent SQLi, always use parameterized queries:

@app.route('/user', methods=['GET']) def get_user(): user_id = request.args.get('id') conn = sqlite3.connect('database.db') cursor = conn.cursor() query = "SELECT * FROM users WHERE id = ?" cursor.execute(query, (user_id,)) result = cursor.fetchone() return {'user': result}, 200

In this approach, the user input is sanitized, eliminating the risk of malicious SQL execution.

How Our Free Tool Can Help

Our free Website Security Checker your web application for vulnerabilities, including SQL Injection risks. Below is a screenshot of the tool's homepage:

Upload your website details to receive a comprehensive vulnerability assessment report, as shown below:

These tools help identify potential weaknesses in your APIs and provide actionable insights to secure your system.

Preventing SQLi in RESTful APIs

Here are some tips to secure your APIs:

Use Prepared Statements: Always parameterize your queries.

Implement Input Validation: Sanitize and validate user input.

Regularly Test Your APIs: Use tools like ours to detect vulnerabilities.

Least Privilege Principle: Restrict database permissions to minimize potential damage.

Final Thoughts

SQL Injection is a pervasive threat, especially in RESTful APIs. By understanding the vulnerabilities and implementing best practices, you can significantly reduce the risks. Leverage tools like our free Website Security Checker to stay ahead of potential threats and secure your systems effectively.

Explore our tool now for a quick Website Security Check.

[mariacallous]

In today’s digital world, injustice lurks in the shadows of the Facebook post that’s delivered to certain groups of people at the exclusion of others, the hidden algorithm used to profile candidates during job interviews, and the risk-assessment algorithms used for criminal sentencing and welfare fraud detention. As algorithmic systems are integrated into every aspect of society, regulatory mechanisms struggle to keep up.

Over the past decade, researchers and journalists have found ways to unveil and scrutinize these discriminatory systems, developing their own data collection tools. As the internet has moved from browsers to mobile apps, however, this crucial transparency is quickly disappearing.

Third-party analysis of digital systems has largely been made possible by two seemingly banal tools that are commonly used to inspect what’s happening on a webpage: browser add-ons and browser developer tools.

Browser add-ons are small programs that can be installed directly onto a web browser, allowing users to augment how they interact with a given website. While add-ons are commonly used to operate tools like password managers and ad-blockers, they are also incredibly useful for enabling people to collect their own data within a tech platform’s walled garden.

Similarly, browser developer tools were made to allow web developers to test and debug their websites’ user interfaces. As the internet evolved and websites became more complex, these tools evolved too, adding features like the ability to inspect and change source code, monitor network activity, and even detect when a website is accessing your location or microphone. These are powerful mechanisms for investigating how companies track, profile, and target their users.

I have put these tools to use as a data journalist to show how a marketing company logged users’ personal data even before they clicked “submit” on a form and, more recently, how the Meta Pixel tool (formerly the Facebook Pixel tool) tracks users without their explicit knowledge in sensitive places such as hospital websites, federal student loan applications, and the websites of tax-filing tools.

In addition to exposing surveillance, browser inspection tools provide a powerful way to crowdsource data to study discrimination, the spread of misinformation, and other types of harms tech companies cause or facilitate. But in spite of these tools’ powerful capabilities, their reach is limited. In 2023, Kepios reported that 92 percent of global users accessed the internet through their smartphones, whereas only 65 percent of global users did so using a desktop or laptop computer.

Though the vast majority of internet traffic has moved to smartphones, we don’t have tools for the smartphone ecosystem that afford the same level of “inspectability” as browser add-ons and developer tools. This is because web browsers are implicitly transparent, while mobile phone operating systems are not.

If you want to view a website in your web browser, the server has to send you the source code. Mobile apps, on the other hand, are compiled, executable files that you usually download from places such as Apple’s iOS App Store or Google Play. App developers don’t need to publish the source code for people to use them.

Similarly, monitoring network traffic on web browsers is trivial. This technique is often more useful than inspecting source code to see what data a company is collecting on users. Want to know which companies a website shares your data with? You’ll want to monitor the network traffic, not inspect the source code. On smartphones, network monitoring is possible, but it usually requires the installation of root certificates that make users’ devices less secure and more vulnerable to man-in-the-middle attacks from bad actors. And these are just some of the differences that make collecting data securely from smartphones much harder than from browsers.

The need for independent collection is more pressing than ever. Previously, company-provided tools such as the Twitter API and Facebook’s CrowdTangle, a tool for monitoring what’s trending on Facebook, were the infrastructure that powered a large portion of research and reporting on social media. However, as these tools become less useful and accessible, new methods of independent data collection are needed to understand what these companies are doing and how people are using their platforms.

To meaningfully report on the impact digital systems have on society, we need to be able to observe what’s taking place on our devices without asking a company for permission. As someone who has spent the past decade building tools that crowdsource data to expose algorithmic harms, I believe the public should have the ability to peek under the hood of their mobile apps and smart devices, just as they can on their browsers. And it’s not just me: The Integrity Institute, a nonprofit working to protect the social internet, recently released a report that lays bare the importance of transparency as a lever to achieve public interest goals like accountability, collaboration, understanding, and trust.

To demand transparency from tech platforms, we need a platform-independent transparency framework, something that I like to call an inspectability API. Such a framework would empower even the most vulnerable populations to capture evidence of harm from their devices while minimizing the risk of their data being used in research or reporting without their consent.

An application programming interface (API) is a way for companies to make their services or data available to other developers. For example, if you’re building a mobile app and want to use the phone’s camera for a specific feature, you would use the iOS or Android Camera API. Another common example is an accessibility API, which allows developers to make their applications accessible to people with disabilities by making the user interface legible to screen readers and other accessibility tools commonly found on modern smartphones and computers. An inspectability API would allow individuals to export data from the apps they use every day and share it with researchers, journalists, and advocates in their communities. Companies could be required to implement this API to adhere to transparency best practices, much as they are required to implement accessibility features to make their apps and websites usable for people with disabilities.

In the US, residents of some states can request the data companies collect on them, thanks to state-level privacy laws. While these laws are well-intentioned, the data that companies share to comply with them is usually structured in a way that obfuscates crucial details that would expose harm. For example, Facebook has a fairly granular data export service that allows individuals to see, amongst other things, their “Off-Facebook activity.” However, as the Markup found during a series of investigations into the use of Pixel, even though Facebook told users which websites were sharing data, it did not reveal just how invasive the information being shared was. Doctor appointments, tax filing information, and student loan information were just some of the things that were being sent to Facebook. An inspectability API would make it easy for people to monitor their devices and see how the apps they use track them in real time.

Some promising work is already being done: Apple’s introduction of the App Privacy Report in iOS 15 marked the first time iPhone users could see detailed privacy information to understand each app’s data collection practices and even answer questions such as, “Is Instagram listening to my microphone?”

But we cannot rely on companies to do this at their discretion—we need a clear framework to define what sort of data should be inspectable and exportable by users, and we need regulation that penalizes companies for not implementing it. Such a framework would not only empower users to expose harms, but also ensure that their privacy is not violated. Individuals could choose what data to share, when, and with whom.

An inspectability API will empower individuals to fight for their rights by sharing the evidence of harm they have been exposed to with people who can raise public awareness and advocate for change. It would enable organizations such as Princeton’s Digital Witness Lab, which I cofounded and lead, to conduct data-driven investigations by collaborating closely with vulnerable communities, instead of relying on tech companies for access. This framework would allow researchers and others to conduct this work in a way that is safe, precise, and, most importantly, prioritizes the consent of the people being harmed.

[apptagsolution]

Exploring Essential Laravel Development Tools for Building Powerful Web Applications

Laravel has emerged as one of the most popular PHP frameworks, providing builders a sturdy and green platform for building net packages. Central to the fulfillment of Laravel tasks are the development tools that streamline the improvement process, decorate productiveness, and make certain code quality. In this article, we will delve into the best Laravel development tools that each developer should be acquainted with.

1  Composer: Composer is a dependency manager for PHP that allows you to declare the libraries your project relies upon on and manages them for you. Laravel itself relies closely on Composer for package deal management, making it an essential device for Laravel builders. With Composer, you may without problems upload, eliminate, or update applications, making sure that your Laravel project stays up-to-date with the present day dependencies.

2  Artisan: Artisan is the command-line interface blanketed with Laravel, presenting various helpful instructions for scaffolding, handling migrations, producing controllers, models, and plenty extra. Laravel builders leverage Artisan to automate repetitive tasks and streamline improvement workflows, thereby growing efficiency and productiveness.

3  Laravel Debugbar: Debugging is an crucial component of software program development, and Laravel Debugbar simplifies the debugging procedure by using supplying exact insights into the application's overall performance, queries, views, and greater. It's a accessible device for identifying and resolving problems all through improvement, making sure the clean functioning of your Laravel application.

4  Laravel Telescope: Similar to Laravel Debugbar, Laravel Telescope is a debugging assistant for Laravel programs, presenting actual-time insights into requests, exceptions, database queries, and greater. With its intuitive dashboard, developers can monitor the software's behavior, pick out performance bottlenecks, and optimize hence.

5  Laravel Mix: Laravel Mix offers a fluent API for outlining webpack build steps on your Laravel application. It simplifies asset compilation and preprocessing duties together with compiling SASS or LESS documents, concatenating and minifying JavaScript documents, and dealing with versioning. Laravel Mix significantly streamlines the frontend improvement procedure, permitting builders to attention on building notable consumer reviews.

6  Laravel Horizon: Laravel Horizon is a dashboard and configuration system for Laravel's Redis queue, imparting insights into process throughput, runtime metrics, and more. It enables builders to monitor and control queued jobs efficiently, ensuring most beneficial performance and scalability for Laravel programs that leverage history processing.

7  Laravel Envoyer: Laravel Envoyer is a deployment tool designed specifically for Laravel packages, facilitating seamless deployment workflows with 0 downtime. It automates the deployment process, from pushing code adjustments to more than one servers to executing deployment scripts, thereby minimizing the chance of errors and ensuring smooth deployments.

8  Laravel Dusk: Laravel Dusk is an cease-to-give up browser testing tool for Laravel applications, built on pinnacle of the ChromeDriver and WebDriverIO. It lets in builders to put in writing expressive and dependable browser assessments, making sure that critical user interactions and workflows function as expected across exceptional browsers and environments.

9  Laravel Valet: Laravel Valet gives a light-weight improvement surroundings for Laravel applications on macOS, offering seamless integration with equipment like MySQL, NGINX, and PHP. It simplifies the setup process, permitting developers to consciousness on writing code instead of configuring their development environment.

In end, mastering the vital Laravel development tools noted above is important for building robust, green, and scalable internet packages with Laravel. Whether it's handling dependencies, debugging troubles, optimizing overall performance, or streamlining deployment workflows, those equipment empower Laravel developers to supply outstanding answers that meet the demands of current internet development. Embracing these gear will certainly increase your Laravel improvement enjoy and accelerate your journey toward turning into a talented Laravel developer.

[excludedmiddle]

what do you think *are* the hard parts of your job?

May or may not have been hoping someone would ask this!

You have something ambiguous you need to do. How are you going to do it? If there are many ways (and there are always many ways), how do you choose between them?

How do you design your service to be secure and resilient? If it breaks (due to malice or to happenstance) how will you find out? How long will it take for you to find out?

How does your service scale? Can it handle a thousand users? A million? (Less an issue in my job specifically, but an extremely common question in the industry)

Okay, you've written the code to get from point A to point B. How are you testing it? If it doesn't work properly, how will you know? What can you do to make it maximally easy to debug?

Something you're responsible for is broken. Have you done the previous step properly? Can you figure out what's wrong and fix it? How quickly? Can you do it at 4 AM?

Inevitably, both you (as an engineer) and you (as a team of engineers) have way too much to do - everyone wants something from you, and there's so much you could do, if only you had the time and the energy. How do you prioritize anything? What actually needs to get done, and what can be put off? Can you spend an hour to save ten hours down the line, or will you end up spending ten hours to save only one?

Every day involves at least a couple of these questions and some days involve almost all of them. You make decisions, communicate them clearly, and defend them. At the end of the day, the code is just the end result of these decisions and emerges naturally from them.

Which is not to say that the code is unimportant or simple - the code is your end product, and there are technical issues sometimes. A particular nightmare I've dealt with is writing code using undocumented/pooly-documented APIs, which involves a lot of trial and error. The code review process is very important for catching bugs and suggesting minor improvements, both of which are crucial for your code quality. But I don't think anyone considers that the hard part.

[ramyavarshini]

The Dynamic Role of Full Stack Developers in Modern Software Development

Introduction: In the rapidly evolving landscape of software development, full stack developers have emerged as indispensable assets, seamlessly bridging the gap between front-end and back-end development. Their versatility and expertise enable them to oversee the entire software development lifecycle, from conception to deployment. In this insightful exploration, we'll delve into the multifaceted responsibilities of full stack developers and uncover their pivotal role in crafting innovative and user-centric web applications.

Understanding the Versatility of Full Stack Developers:

Full stack developers serve as the linchpins of software development teams, blending their proficiency in front-end and back-end technologies to create cohesive and scalable solutions. Let's explore the diverse responsibilities that define their role:

End-to-End Development Mastery: At the core of full stack development lies the ability to navigate the entire software development lifecycle with finesse. Full stack developers possess a comprehensive understanding of both front-end and back-end technologies, empowering them to conceptualize, design, implement, and deploy web applications with efficiency and precision.

Front-End Expertise: On the front-end, full stack developers are entrusted with crafting engaging and intuitive user interfaces that captivate audiences. Leveraging their command of HTML, CSS, and JavaScript, they breathe life into designs, ensuring seamless navigation and an exceptional user experience across devices and platforms.

Back-End Proficiency: In the realm of back-end development, full stack developers focus on architecting the robust infrastructure that powers web applications. They leverage server-side languages and frameworks such as Node.js, Python, or Ruby on Rails to handle data storage, processing, and authentication, laying the groundwork for scalable and resilient applications.

Database Management Acumen: Full stack developers excel in database management, designing efficient schemas, optimizing queries, and safeguarding data integrity. Whether working with relational databases like MySQL or NoSQL databases like MongoDB, they implement storage solutions that align with the application's requirements and performance goals.

API Development Ingenuity: APIs serve as the conduits that facilitate seamless communication between different components of a web application. Full stack developers are adept at designing and implementing RESTful or GraphQL APIs, enabling frictionless data exchange between the front-end and back-end systems.

Testing and Quality Assurance Excellence: Quality assurance is paramount in software development, and full stack developers take on the responsibility of testing and debugging web applications. They devise and execute comprehensive testing strategies, identifying and resolving issues to ensure the application meets stringent performance and reliability standards.

Deployment and Maintenance Leadership: As the custodians of web applications, full stack developers oversee deployment to production environments and ongoing maintenance. They monitor performance metrics, address security vulnerabilities, and implement updates and enhancements to ensure the application remains robust, secure, and responsive to user needs.

Conclusion: In conclusion, full stack developers embody the essence of versatility and innovation in modern software development. Their ability to seamlessly navigate both front-end and back-end technologies enables them to craft sophisticated and user-centric web applications that drive business growth and enhance user experiences. As technology continues to evolve, full stack developers will remain at the forefront of digital innovation, shaping the future of software development with their ingenuity and expertise.