Anders Hejlsberg's thoughts on TypeScript's journey are gold! What started as a pragmatic fix for JavaScript scaling is now GitHub's most used language in 2025, even topping Python. He's "floored"! The article highlights why TS thrives in the AI era: types become "truth checkers" for AI-assisted coding, giving agents the structure they need. It's truly evolving. 🚀 #TypeScript #AI

No need n8n anymore because i Just found this AgnFlow. A new open-source framework that lets you build AI agent workflows visually and it’s all Python. What makes it stand out: • Build flows like you’d draw them — connect nodes, branch logic, add loops • Supports both sync and async execution • Designed for multi-agent systems, supervisor logic, and swarm behaviors • Lightweight, fast, and actually developer-friendly It feels like the first serious attempt to make agent workflow design as intuitive as coding in Python itself. Comment repo - I’ll DM you the link.

✨LeetCode Problem 🔸 “Add Binary”(67), 🔸It focuses on adding two binary strings and returning their sum as a binary string. 1️⃣ It helps in understanding how binary addition works, including managing carries just like decimal addition. 2️⃣This problem improves string manipulation and logical thinking in programming. 3️⃣ using loops manually or simplify and using Python’s built-in functions int() and bin(). 4️⃣It’s a great example of combining mathematical logic with clean coding practices for efficient problem-solving. 10000 Coders Manoj Kumar Reddy Parlapalli Ajay Babu Sappa

Our Python+AI 9-part series in english Pamela Fox and spanish Gwyneth Peña-Siguenza is now over, but you can still watch the recordings, share them, or hey, deliver the series yourselves! All the materials are available - slides, recordings, plus code examples (that run free with GitHub Models). Get links from: https://lnkd.in/eggWjajN

Tech With Tim: Build a Python AI Agent in 10 Minutes Build a Python AI Agent in 10 Minutes In under ten minutes, Tim walks you through building a Python AI agent from scratch: install dependencies, grab an OpenAI API key, pull in the right libraries, define custom tools, hook up the LLM, and run your first test. The tutorial includes a GitHub repo link, timestamped chapters, and sponsor shoutouts (Notion, PyCharm), plus a nod to his DevLaunch mentorship program for anyone wanting long-term, hands-on guidance. Watch on YouTube https://lnkd.in/gUYV7MtR

What does it mean when TypeScript overtakes Python, AI “vibe coding” becomes the norm, and more than one new developer joins GitHub every second? Andrea and Kedasha sit down with data whisperer Jeff Luszcz—one of the minds behind the Octoverse 2025 Report—to translate the data into real-world takeaways for your career and open source projects. https://lnkd.in/gDsyv7EP

Curious about the latest trends in Open Source, GitHub, and AI? I recently had a great conversation with GitHub’s @alacolombiadev and @kedashakerr about this year’s Octoverse Report! We discussed how AI is shaping programming language preferences, the evolving approach to security in open source projects, and what these changes mean for developers. Tune in to hear our thoughts and takeaways!

Stop trying to memorize code. Start trying to understand it. When I first started coding, I thought mastery meant memorizing everything. Every syntax. Every function. Every little detail. So I’d spend hours staring at tutorials, trying to cram code into my head, line by line, hoping it would stick. But the truth? It didn’t. The moment I opened my notebook or editor, my mind off🥲 Then one day, it clicked. The real goal isn’t to remember the code. It’s to understand what the code is doing and why it works that way. Once I shifted my focus from memorizing to understanding, everything changed. I stopped seeing code as random lines and started seeing it as logic, flow, and purpose. And guess what? The more I understood the why, the easier the how became. So if you’re just starting out, don’t pressure yourself to know every syntax or library by heart. Instead, ask questions like: 👉 “What is this function trying to achieve?” 👉 “Why is this logic necessary here?” Understanding first makes memorizing natural not forced Your code doesn’t have to be perfect. Your journey doesn’t have to be fast. Just make sure every line you write makes sense to you. Because that’s how true mastery begins💪 #CodingJourney #LearnToCode #DataScience #MachineLearning #Python #GrowthMindset #TechLife

This is why I document while I build. I used to think documentation came after building. Now I see it as part of the build itself. Writing things down clarifies logic. It exposes weak spots. And it helps future-me (and teammates) understand the why behind every decision. Good engineers don’t just write code. They write context. What’s one documentation habit that’s saved you time later? #AIEngineering #DataEngineering #Python #SoftwareBestPractices #JoshuaAdeyemo

I recently asked Cursor to fix an issue that was stopping our codebase from generating a response. It analyzed the problem... and modified 5 files, writing hundreds of lines of code. That felt odd for what seemed like a simple fix. So I dug into the code myself and guess what? One. Single. Condition. That’s all that was preventing the response from being generated. One tiny if statement. Yet Cursor went on a coding spree. This is exactly why you can't blindly trust LLMs with your code. They're powerful, but they don’t understand context the way we do. If I had blindly accepted those changes, our codebase would've turned into chaos. #coding #GenAI #python #softwareEngineering #CursorAI