#softwareengine

[kernelbroken]

[heart-ghost-studyblr]

Getting old is interesting. I've always been a middle ground between sports (skateboarding, surfing, jiu-jitsu) and an avid student. Over time, it's clear that you can't keep trying the same tricks, just as you can't study the same way.

Today, as I'm writing an article about event-driven architectures, I realize that final exams in college were much easier, just like it's not as easy to jump the same stairs on a skateboard as I did when I was 18. In the image, you can see my favorite note-taking app, Obsidian, and my Neovim terminal. I'm diving deep into Java, and for that, I'm taking a Spring Boot bootcamp offered by Claro through the DIO Innovation One platform.

[adafruit]

🎄💾🗓️ Day 10: Retrocomputing Advent Calendar - BeOS 🎄💾🗓️

BeOS, developed by Be Inc. in the mid-1990s, was an operating system for multimedia applications, multitasking, and multithreading. Initially designed for the BeBox—a proprietary hardware platform featuring dual PowerPC processors—BeOS was later ported to the Macintosh and x86 architectures. Its kernel was monolithic, and the system was primarily written in C++. It featured a 64-bit journaling Be File System (BFS), which supported metadata and allowed rapid file queries and fast performance for multimedia tasks. Despite its technical strengths, including support for symmetric multiprocessing and a responsive graphical user interface, BeOS struggled to gain market traction. Development ceased in 2001 after Palm Inc. acquired Be Inc.'s assets. BeOS continues through Haiku, an open-source project aiming for binary compatibility with BeOS R5.

A bunch of resources and links for this one!

🖥️💾🎨📀

Have first computer memories? Post’em up in the comments, or post yours on socialz’ and tag them #firstcomputer #retrocomputing – See you back here tomorrow!

[atikinverse]

Wishing everyone a thoughtful and inspiring World Thinking Day from Atikin Verse! 🌍✨

Let’s celebrate the power of ideas, unity, and collective progress. 🌱💡

Website:- www.atikinverse.com

[bharatpatel1061]

Beyond Scripts: How AI Agents Are Replacing Hardcoded Logic

Introduction: Hardcoded rules have long driven traditional automation, but AI agents represent a fundamental shift in how we build adaptable, decision-making systems. Rather than relying on deterministic flows, AI agents use models and contextual data to make decisions dynamically—whether in customer support, autonomous vehicles, or software orchestration. Content:

This paradigm is powered by reinforcement learning, large language models (LLMs), and multi-agent collaboration. AI agents can independently evaluate goals, prioritize tasks, and respond to changing conditions without requiring a full rewrite of logic. For developers, this means less brittle code and more resilient systems.

In applications like workflow automation or digital assistants, integrating AI agents allows systems to "reason" through options and select optimal actions. This flexibility opens up new possibilities for adaptive systems that can evolve over time.

You can explore more practical applications and development frameworks on this AI agents service page.

When designing AI agents, define clear observation and action spaces—this improves interpretability and debugging during development.

[bitbloomie]

Hi everyone!

A little introduction post is needed before really starting my journey, I guess. So here I am, rediscovering the joy of coding, relearning DSA, and catching up on IT trends after a chaotic work experience (lhamdouli'Allah for the job, though ~).

Expect coding, fun projects, daily life posts, and lots of figuring things out along the way.

Welcome again, and let's learn together!

[engineers-heaven]

🚀🦀 How to build social media management API with Rust programming using Actixweb framework? Learn the steps to create powerful APIs with Rust and Actixweb for social media platforms.

[thelmaivukaonwukwe]

Full Stack Development Made Simple: Expert Tips from Thelma Ivuka Onwukwe

Thelma Ivuka Onwukwe, a full stack development expert, explains that full stack development means working on both the front end (what users see) and the back end (how the website or app works behind the scenes). A full stack developer can build a complete website or application from start to finish, including designing web pages, writing code, connecting to databases, and making sure everything runs smoothly. This role requires knowledge of many tools and programming languages like HTML, CSS, JavaScript for the front end, and Python, Node.js, or PHP for the back end. Thelma Ivuka Onwukwe says being a full stack developer is useful because it allows one person to understand the entire system, solve problems quickly, and build better, faster, and more efficient digital solutions.

[zemmouriaymen]

Every programmer has that one piece of code… The one that made sense at 3 AM but now looks like ancient hieroglyphics. 🫠

💻 “I knew how it worked… now, only heaven knows.”

🔧 total_hours_wasted_here = 254

Who else has written code like this? Tag your fellow suffering devs. 😂

[asadmukhtarr]

https://asadmukhtar.info/note/programming-in-scala

Introduction to Scala

Scala is a modern programming language that combines object-oriented and functional programming features.

It runs on the JVM (Java Virtual Machine), making it highly compatible with Java.

Scala is concise, expressive, and designed for scalability in software development.

[kernelbroken]

[heart-ghost-studyblr]

I found myself surrounded by companions daring to tackle a real software architecture challenge. We shared a good wine and cheese to conquer it together! (Unfortunately, there’s always something waiting to be dealt with on Monday.)

The glow of my Neovim terminal in Monokai theme reflects my rhythm — a guy who doesn’t stop on weekends but knows that balance isn’t about being all-in, all day.

The setup screams character: a seamless fusion of productivity and comfort. Lazygit commands at my fingertips, a Ghibli-esque avatar paired with Neofetch adding a touch of Tumblr aesthetic, and a playlist of Korean indie OSTs playing in the background to add depth to every keystroke.

This is how I drive — in code, creativity, and moments that are unapologetically mine.

[adafruit]

Flap Flap Flying Toasters on Fruit Jam 🕊️🍞💾

We grew up with a Mac Plus/512K, so getting the Pico-Mac 68000 emulator https://github.com/evansm7/pico-mac working on Fruit Jam https://www.adafruit.com/product/6200 with 1MB+ of RAM was a high priority for those nostalgic vibes.

We've got HSTX DVI output plus PSRAM working https://github.com/jepler/pico-mac/tree/rp2350-fruitjam, which means 4MB RAM—that's the most you could get into a Mac Plus and enough to run System 6! https://en.wikipedia.org/wiki/System_6 Please note that System 7.1 was the pinnacle of software design, but System 6 was also pretty good. System 6 had some nifty features, such as the "Extensions" and "Control Panel" system programs, like After Dark with the famous Flying Toasters https://en.wikipedia.org/wiki/After_Dark_(software).

Note that we're still working on audio, so you can see the high byte of the memory space used for audio that we've mapped into the video RAM for visualization. http://www.mac.linux-m68k.org/devel/plushw.php has more details on how that works - its 8-bit PWM audio reads "one byte per scanline." We'll have that output on the I2S DAC for speaker or headphone output.

What were your favorite extensions from the classic Mac era, and why was it Talking Moose? https://talkingmoose.com

[womaneng]

Top 10 generative AI tools for software developers ✨

Generative AI can be used among developers for providing solutions, coding widgets, fixing bugs, and learning as well. Generative AI is considered a cutting-edge field in AI research due to its potential to create high-quality, innovative outputs that can be indistinguishable from human-generated content. 👩🏻‍💻 1. ChatGPT 2. Google Gemini 3. OpenAI Codex 4. AlphaCode 5. GPT-4 6. GitHub Copilot 7. Amazon CodeWhisperer 8. Tabnine 9. CodeWP

[bharatpatel1061]

Microservices vs Monolith: Choosing the Right Architecture

Content: When developing software systems, architecture is one of the first and most impactful decisions. Two primary models dominate: monolithic applications and microservices architectures.

Monoliths consolidate all functions into a single unit, making them easier to build initially. However, they often become cumbersome as the codebase grows, making deployments riskier and updates slower.

Microservices, on the other hand, break applications into independent services that communicate over APIs. Each service is loosely coupled, allowing teams to work independently, use different tech stacks, and scale specific components without overhauling the entire system.

However, microservices come with their own challenges: higher complexity, the need for service orchestration, and potential for network latency.

Choosing between monolith and microservices depends largely on your team's size, project complexity, and long-term goals. Companies uses tools like Software Development assist in evaluating your needs to design the most appropriate architecture, balancing scalability with simplicity.

Ultimately, it’s not about trends—it’s about choosing what fits your project’s current and future states.

Before jumping into microservices, ensure your team masters clean modular design within a monolith first—it’ll make the transition smoother if/when you need it.

[atikinverse]

World Civil Defence Day honors safety, preparedness, resilience, and emergency response.