AI

AI coding tools like Claude Code can dramatically speed up development, but costs can grow quickly if context and token usage aren’t managed—especially if you don’t use locally running models. Most token waste comes from long conversations, large logs, and unnecessary files being loaded into context. I’ve collated a short checklist, from one-time setup to daily workflow habits, to reduce token usage, lower cost, and keep Claude responses fast and reliable....

OpenClaw (a.k.a Claudbot) is an open-source personal AI assistant (MIT licensed) created by Peter Steinberger that has quickly gained traction with over 180,000 stars on GitHub at the time of writing this blogs. Lots of traction, internet buzz and usecases that evolve from here. I am going to cover something else, what makes this different and really powerful. Its the Architecture and how it was productised . Lets dive into different aspects...

Retrieval Augmented Generation(RAG) Deep Dive into Best Practices & Architectures -Series 1 Retrieval-Augmented Generation (RAG) has moved far beyond the experimental phase. It is now the standard for bringing domain-specific, fresh, and private data to Large Language Models. But as we move to production, the question shifts from “How do I build a RAG app?” to “How do I optimize it for accuracy and scale?” I have covered a definitive guide on RAG best practices from different references....