Reproducible ML Project Setup with UV and Git

#VSCode + #GitHub + #AI, i am not sure if there is a better way to code nowadays. From static to complex python code. Let’s be honest. If you’re still writing code in 2026 using a basic text editor, you are missing out valuable features. The integration of VS Code with GitHub and the power of AI (#Copilot, #Claude, #Cursor) isn’t just a cool setup. It lets you do things you wouldn't know you can. And with hundreds of extensions available, you can practically develop almost anything from scratch. ✅️ Make commits, pushes, and PRs without ever leaving your environment. Everything happens "in-house." ✅️ With AI you save you 80% of the "boring" work. Boilerplate code? Unit tests? Documentation? You name it. ✅️ With GitHub Codespaces, your environment is everywhere, ready and pre-configured. What you gain? Easy. ➡️ You write code 2x, 3x faster ➡️ Fewer Bugs with AI suggesting code while you write ➡️And the most important, your Mental Health. Instead of wrestling with syntax, you wrestle with logic. #Artificial_Intelligence #Hey_Eye_Facts

Excited to share my latest open-source project — CodeLedger AI-assisted coding moves fast. You iterate rapidly with LLMs, ship features in hours, and six months later, no one remembers why anything was built the way it was. CodeLedger solves this by auto-generating structured documentation during development, capturing architecture decisions, component logic, and integration patterns as your project evolves, not after. Who it's for: → Solo devs who vibe-code with AI and want to remember what they built → Teams onboarding new members to AI-iterated codebases → Anyone tired of writing docs as an afterthought Built with Python · Available on PyPI · MIT Licensed pip install codeledger Check it out → https://lnkd.in/dG8B6Bch Feedback, stars, and contributions are welcome! #OpenSource #Python #AI #DeveloperTools #Documentation #CodeLedger #VibeCoding

Turned recently exposed Claude Code artifacts into a practical #cookbook for building production-grade coding agents. It does NOT include "Claude Code" Code itself. It gathers key patterns and architectures into clear documentation for learning with practical Python examples. It also includes an Agents.md file, so you can plug the repo into your own agent and get guided help in building a production-ready coding agent. https://lnkd.in/gHJgfXFd #CodingAgents #AI #playbook

With all the AI FOMO right now, it feels like everyone is rushing to generate code rather than understand it. But if you still appreciate the "old style" of actually getting your hands dirty to learn the mechanics of a language—specifically Rust—the tutorial fatigue is real. Watching hours of videos just isn't the same as building something yourself. That's why I put together something for those of us who learn best by doing: Rust Learning Bytes. 🦀 Inspired by platforms like CodeCrafters and the awesome "Build your own X" repositories, I wanted to create a hands-on path to picking up Rust. Instead of just handing you the final code, each file in the repo includes helpful comments formatted like feature tickets. They give you just enough of a hint to nudge you toward the solution without ruining the "aha!" moment of figuring it out. 💻 You can jump into the repo and start building here: https://lnkd.in/eTuFxwzC If you get stuck or want a deeper dive into the "why" behind the code, I'm also writing a companion blog series called "Rust by Doing - Build your own X." I'll be posting walkthroughs for each section there. 📝 Check it out here: https://suhird.me/series I'd love to hear what you think. Let me know in the comments, or feel free to open a GitHub Issue or PR if you spot any mistakes or have ideas for new chapters I should add. Happy coding! 🚀 #Rust #RustLang #SoftwareEngineering #LearnByDoing #Programming #OpenSource

🚀 AI CHEAT CODE #026 🚀 Most devs use GitHub Copilot wrong. Here's the trick that 10x'd my output 👇 Stop accepting single-line suggestions. Use Copilot Chat with THIS prompt pattern: Step 1: Highlight your entire function Step 2: Open Copilot Chat (Ctrl+I) Step 3: Type: "Refactor this for readability, add error handling, and write unit tests" You just got 3 tasks done in 10 seconds. 🤯 Step 4: Ask: "What edge cases am I missing?" Step 5: Paste those edge cases directly into your test file ⚡ Pro Tip: Add your tech stack to the prompt: "Refactor for Python 3.11 with FastAPI best practices" — Copilot tailors everything perfectly. Drop a 🔥 if this saved you time today! Save this post for your next code review session. #AI #GitHubCopilot #Coding #DevProductivity #SoftwareEngineering #Python #CloudComputing #DevOps

Developers are flocking to luongnv89/claude-howto, a visual guide to Claude Code that's making fast-moving AI workflows easier to steer and reuse in real projects. This project is more than just a tutorial – it's a practical solution to the complexity of LLM and agent workflows. By providing a clear learning path and example-driven templates, Claude How To is helping teams overcome the common pitfalls of mastering Claude Code. At its core, Claude How To is a collection of 10 tutorial modules covering every Claude Code feature, from slash commands to custom agent teams. This comprehensive approach is a breath of fresh air in a landscape where most resources leave developers scratching their heads. By focusing on the practical application of Claude Code, this project is changing the way developers work with LLM and agent workflows. Key benefits of Claude How To include: - A clear learning path that helps developers master Claude Code features - Example-driven templates that bring immediate value to real projects - A comprehensive approach that covers every aspect of Claude Code - Built with Python, making it accessible to a wide range of developers The traction makes sense: a repository sitting at #3 with around 27,548 new stars is usually solving a problem people can feel immediately. With its recent commits and active development, it's clear that Claude How To is here to stay. Repo: https://lnkd.in/gV8nN-6t #GitHub #OpenSource #GitHubTrending #LinkedInForDevelopers #Python #ClaudeHowto #ClaudeCode #Guide

I've been stress-testing the new Codex desktop app for three weeks and honestly? It's the first AI coding tool that doesn't make me want to throw my laptop out the window. The context awareness is scary good - it actually remembers what I was working on yesterday and picks up conversations mid-thread. But here's what nobody's talking about: the real magic isn't the code generation, it's how it handles debugging existing codebases. I fed it a gnarly legacy Python script with zero documentation and it mapped out the entire data flow in minutes. Sure, GitHub Copilot writes decent boilerplate, but Codex actually understands architecture. Still has weird hallucinations with newer frameworks though. #OpenAICodex #DeveloperTools #AIcoding

I've been stress-testing the new Codex desktop app for three weeks and honestly? It's the first AI coding tool that doesn't make me want to throw my laptop out the window. The context awareness is scary good - it actually remembers what I was working on yesterday and picks up conversations mid-thread. But here's what nobody's talking about: the real magic isn't the code generation, it's how it handles debugging existing codebases. I fed it a gnarly legacy Python script with zero documentation and it mapped out the entire data flow in minutes. Sure, GitHub Copilot writes decent boilerplate, but Codex actually understands architecture. Still has weird hallucinations with newer frameworks though. #OpenAICodex #DeveloperTools #AIcoding

Stop memorizing syntax. Start building systems. In 2026, the world doesn't need more people who just "know Python." It needs engineers who understand how components talk to each other. Syntax is the alphabet. Systems are the architecture. Learning to code isn't about passing a quiz. It’s about: 🛠️ Designing scalable logic. ⛓️ Managing data flows. 🚀 Deploying production-ready code. Tutorial hell happens when you stay at the surface. Break out of the loop. At KodeMaster AI, we don’t do passive watching. You code in your own editor. You push to Git. You build real-world systems that prove you’re interview-ready. Our career paths are designed for the shift from "coder" to "system builder." Stop watching. Start engineering. BUILD WITH KODEMASTER.

🚀 Day 2 of My AI Learning Journey Today was all about setting up a strong development environment — building the foundation for everything ahead. Here’s what I covered: ✅ Installed VS Code with a fresh setup ✅ Explored important VS Code options for future coding ✅ Installed Git & Git Bash on Windows ✅ Set up Miniconda for Python & AI environments ✅ Learned Git Bash + Miniconda + VS Code integration (step by step) ✅ Troubleshooting common issues in Miniconda & Git Bash integration This day really helped me understand how important a clean and well-configured environment is before starting actual development. Now I feel more confident to move forward into practical coding and AI projects 💻 📌 Consistency is the key — one step every day. #AI #LearningJourney #Python #VSCode #Git #Miniconda #Programming #StudentLife #smartiteyes #iteyes