Boost GitHub Copilot Output with 5-Step Refactoring Trick

#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

GitHub Copilot's suggestion quality for agentic AI projects is directly proportional to how much context it has about your architecture. Out of the box, Copilot suggests syntactically correct Python. With copilot-instructions.md, it suggests architecturally correct code for your specific project. Three things that go in .github/copilot-instructions.md for every agentic project: • Project type and framework — LangGraph, LangChain, CrewAI • The base patterns your team uses — TypedDict for state, tool decorator pattern, agent class structure • What to avoid — synchronous tool calls in async agents, global state between runs, raw LLM calls outside agent class Copilot reads this file from the open workspace. Keep it open alongside your active file for maximum context. The result → Copilot completes your agent class with the right pattern instead of generic code. #GitHubCopilot #AIEngineering #AgenticAI #LangChain #LangGraph #CrewAI #SoftwareArchitecture #DeveloperTools #AIProjects #MachineLearning #CodingBestPractices #DevProductivity #TechLeadership #Automation #AIWorkflows

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 paying $20/month for Claude Code. McDonald’s AI bot is FREE. Someone asked a McDonald’s support assistant how to reverse a linked list in Python. It answered correctly. Not Big Mac vs. McChicken recommendations. Actual code. Tech stack peak performance. On a more serious note: Noizz.io is built for that layer. What’s your perfect stack for your specific needs? Not another chatbot. A sovereign leverage stack for creators, founders, and small teams. #NoizzEdge #SovereignStacks #AICreativeEdge #ViralLeverage

Everyone wants to pro-code…. until they are dealing with vector DBs, choosing LLMs, writing APIs… and questioning their life choices by sprint end ! 🙄 I built an org. internal 'ConfluenceBot' with Microsoft Copilot Studio 🤖 - a RAG powered assistant that retrieves answers directly from Confluence pages. The pain point was simple: useful knowledge existed, but finding the right page felt like a treasure hunt. Could I build the same in Python / LangChain / custom stack? Absolutely. But here is the crux, use case and scope decide low-code VS pro-code - choosing the right one saves time than overengineering the wrong one. Low-code doesn’t mean low-power. For the right-sized use case, it often means faster wins with fewer headaches. #CopilotStudio #RAG #AzureOpenAI #GenerativeAI #LowCode

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

Paying per token for internal automation? There's a better way. I built a proxy that wraps Claude Code CLI as a standard Anthropic API — same format, same SDKs, zero per-token billing. The trick: Claude Code CLI runs under a flat-rate Claude Max subscription. We exposed it as POST /v1/messages on our internal server. Now every machine on the network calls it like the real API. One line change in Python: base_url = "https://your-server:port" # that's it Bonus: Claude CLI can read and fix actual files on the server — something the real API cannot do. Stack: Flask + Podman + config.json. Fully self-hosted. #ClaudeCode #DevOps #Anthropic #AI #CloudNative #PlatformEngineering

Claude Code’s source got leaked yesterday, and the internet just broke a land-speed record. 🦞 Meet Claw Code: A Python rewrite that hit 50,000 GitHub stars in just 2 hours. That’s not a typo. It’s officially the fastest-growing repo in history!!!! The Chaos Summary: • The Oops: Anthropic accidentally shipped a 60MB source map via npm.  • The Response: 512,000 lines of TypeScript were instantly "liberated."  • The Twist: Devs used AI to rewrite the whole thing in Python (and now Rust) before Anthropic could even finish their morning coffee.  We’ve reached the recursive endgame: using AI to reverse-engineer the AI that was built to help us write code. The snake is eating its own tail, and apparently, it tastes like open-source freedom. Is proprietary software even a thing anymore if a community can port your entire product to a new language in a single morning? #ClaudeCode #ClawCode #OpenSource #AI #SoftwareEngineering #GitHub #TechNews

🚀 Built a Simple AI Code Debugger I recently created a small project using Streamlit where users can upload screenshots of their code and get help to debug it. 🔍 Features: * Upload up to 3 code screenshots * Get step-by-step hints (without code) * Or get full solution with corrected code * Clean and simple UI ⚙️ Tech Used: * Python * Streamlit * Google Gemini API 💡 Idea: Sometimes beginners struggle to understand errors. This tool helps them by giving hints or solutions directly from their code screenshots. 🌐 Live Demo: https://lnkd.in/gwedCaYA 🔗 GitHub: https://lnkd.in/g-FFETRh I am still improving this project and planning to add more features soon. Feedback is always welcome 🙌 #Python #Streamlit #AI #MachineLearning #WebApp #BeginnerProject #Coding #Developer