Conventions, good docs and little code: why fullstack frameworks shrink the context an AI agent needs, and why Django is not my pick. more
Conventions, good docs and little code: why fullstack frameworks shrink the context an AI agent needs, and why Django is not my pick. more
A bill of nearly 900 PLN for Gemini API despite billing alerts. Two causes: a changed Google account email and paid subscription overages. more
Get useful code out of AI agents faster by pinning versions, keeping a short README as the source of truth, and sending small prompts. more
Seven RAG anti-patterns that quietly ruin retrieval quality, and the simpler practices that fix them: own the context, structure over size. more
Build image search that answers in text: pick an embedding model, a vector database and a multimodal LLM, then cut the running cost. more
Weigh a private LLM/RAG for a law firm: hallucination risk, attorney-client privilege, running cost and what implementation demands. more
How a 2019 visual product search was built, from crawling shop catalogues to vectorising photos and serving nearest-neighbour results. more