LLM

We all have used Claude Code to work through engineering problems and tasks. I can point it at a repository, inspect its reasoning and edits, redirect it, and decide what to ship. Devin can do similar work, but its workflow is slightly different and interesting. Let’s say I have a steady stream of bounded improvements to make to KEEP Terminal. I can hand over one issue at a time, receive a tested pull request, and ask a review agent to examine it before I make the final call, and Devin Review supports that review step. ...

The LLM acts as the final reasoning layer, turning vector based search results into tailored viewing recommendations. Where We Left Off In Part 1, we built the foundation of a movie recommendation RAG pipeline. We took raw user preferences, generated 1024-dimension vector embeddings using bge-large, and stored them in a Qdrant vector database. The result was a semantic search engine that could find similar preferences with accuracy relevant to the user’s interests and mood of the moment. ...