Automate README generation with readmegen

I built a tiny Python library for AI agents. It's called ExAgent. No complex setup. No heavy framework. Just agents + skills. This video shows how it works in under a minute. Trying to make agent building as simple as writing a script. Feedback welcome 👇 #python #ai #opensource

🚀 Built a small AI tool to chat with PDFs I made a project where you can upload a PDF and ask questions. It gives answers only from the document. If the answer is not in the PDF, it shows: “Not found in document”. 🔗GitHub : https://lnkd.in/gbs2ugHp 🛠 Used: Python, LangChain, FAISS, Streamlit Infotact Solutions #AI #Python #RAG

Carousel: Slide 1: 'Two languages. Different purposes. Both essential for AI in 2026.' Slide 2: Python — What it's best for in AI Slide 3: TypeScript — What it's best for in AI Slide 4: When to use which Slide 5: 'You don't have to choose. Learn both — here's where to start.' #TypeScript #Python #AI #AIBeginners #LearningInPublic #PakistanTech

Hey folks, built a tool that generates videos from code files. Curious do you think there's a place for a video like this when all you care about is the learning or do you always prefer a human talking head? Let me know in the comments :) #ai #video #education #discuss #python

🐍 Python Trick — Did you get it right? b = a doesn't copy the list. It points to the SAME object in memory. So when b changes... a changes too. 🤯 This one gotcha has caused more bugs than most people admit. 💡 Always use b = a.copy() or b = a[:] when you need a true copy. Drop a ✅ if you got it right or a ❌ if it surprised you! Follow for more Python tricks, AI/LLM tips & SQE insights every week. 🔔 #Python #PythonTricks #SoftwareEngineering #SQE #Coding #100DaysOfCode #AIEngineering #TechLinkedIn #PythonDeveloper

Python coding can overwhelm me when I'm trying to solve word problems, but language is also on my side! To reinforce my understanding of functions in #Python I reached back to the concepts of abstraction and concreteness. I learned this from "Made to Stick" by Dan Heath and Chip Heath. #Abstract (to my brain): functions are so you don't have to repeat calculations multiple times in the main program and risk errors. Me understanding this, but struggling with applying it and getting lost in the word problem: 😵💫 #Concrete: functions are like #AI agents and have their one job in the process, and the main program is the orchestrator. And now I remember and it sticks! 🤣

Every AI Agent can write a python script to reverse a linked list (I have no idea what that means). But how many AI Agents can order your Phở for tomorrow 👇

🚀 Day 10 of My Generative & Agentic AI Journey! Today’s focus was on understanding Conditionals in Python — the foundation of decision-making in programming. Here’s what I learned: 🔀 Conditionals in Python: • if statement → Executes code when a condition is True • else statement → Executes when the condition is False • elif statement → Used to check multiple conditions 🧠 Why Conditionals matter: • Help programs make decisions • Control the flow of execution • Used in real-world applications like validations, user input handling, and logic building 👉 Key takeaway: Conditionals are the backbone of logic in programming — from simple checks to complex AI decision-making systems. Building strong fundamentals step by step 💪 #Day10 #Python #GenerativeAI #AgenticAI #LearningJourney #BuildInPublic

I ran an audit on my Claude Code sessions from the last 2 months. 47 sessions. 87 repeated patterns. 0 of them in my CLAUDE.md. Turns out I was correcting Claude for the same things over and over — "don't commit without asking", "don't add docstrings I didn't ask for", "use the venv python not system python." All of it should have been in CLAUDE.md from day one. The second finding was even more interesting — 6 multi-step workflows I keep triggering manually that could be autonomous agents. If you use Claude Code and haven't audited your sessions yet, you're leaving easy wins on the table. #ClaudeCode #AI #DeveloperTools

Python is the face of modern tech intuitive and user-friendly. But C++ is the engine powerful, efficient, and blazing fast. The relationship is simple but vital: Python provides the ease of use for developers to prototype and iterate quickly. C++ handles the heavy lifting behind the scenes. Libraries like NumPy, PyTorch, and TensorFlow are written in C++ to ensure that high-performance computations happen in milliseconds, not minutes. In the world of Agentic AI, this synergy is non-negotiable. You use Python to orchestrate the logic, but you rely on C++ to execute the math at scale. One provides the Speed, the other provides the Scale. Together, they are the power couple of the AI revolution. #CPlusPlus #Python #SoftwareEngineering #AIInfrastructure #Performance #CodingFundamentals #TechTrends2026