AI Development
4 posts tagged #ai-development
4 posts on AI Development, spread across AI Coding Tools & Workflow (1), Local LLM Hardware (1), Production AI Engineering (1) — most read: “Python vs TypeScript for AI: Which Should You Build With?” and “How to Set Up Python for AI Development With uv”.
AI and Machine Learning Python vs TypeScript for AI: Which Should You Build With?
I'd pick Python for any serious LLM pipeline or ML workload in 2026 — the ecosystem gap is still too wide to ignore. TypeScript wins the moment your AI feature lives inside a full-stack product and your team is already shipping Node.
Developer Tools How to Set Up Python for AI Development With uv
Stop using venv + requirements.txt for AI projects. Here's the professional Python environment stack — uv, pyproject.toml, Ruff, type checking, and CI/CD — that actually scales from prototype to production.
AI and Machine Learning LangChain vs LlamaIndex: Agents or RAG?
LangChain wins for building complex, multi-step AI agents and conversational workflows; LlamaIndex wins for production-grade RAG pipelines and data-heavy retrieval systems. Choose based on whether your app is agent-first or retrieval-first.
Technology Linux Mint vs Ubuntu for Developers: CUDA, Docker, RAM
Ubuntu 26.04 LTS is out, and Linux Mint's next release, Mint 27 "Adrien", is due at Christmas on the same base. The old "Mint is for beginners" advice is dead. Here is the developer-first verdict.
Keep exploring
Close to this topic, not on this page.
