Rijul, a developer building LiveReview, explains how product quantization (PQ) compresses large vectors in AI applications, using FAISS as an example. He demonstrates that a 768-dimensional vector sto…
Developer Rijul demonstrates how to turn an Obsidian vault into an AI-powered second brain using the Copilot community plugin. By connecting the plugin to an AI provider like OpenCode, users can query…
Rijul, developer of git-lrc, argues that AI agents are not magic but well-designed feedback loops. He introduces 'Loop Engineering' as a methodology for building reliable agent workflows by focusing o…
A developer introduces the concept of retrieval memory for AI agents, which stores information externally and retrieves it only when relevant, preventing context windows from becoming overloaded. The …
Developer Rijul is building git-lrc, a micro AI code reviewer, and explores context compression techniques for AI agents. The approach prunes irrelevant data, distills histories into structured summar…
Rijul, the developer behind git-lrc, explains how agent skills work as a way to give AI agents procedural knowledge through a SKILL.md file. Skills use progressive disclosure to load only names and de…