Developer Builds AI-Readable Knowledge Base Using Obsidian and Git, No RAG Pipeline Needed

A developer at NEXT4I built a structured knowledge-base system using Obsidian, Git, and VS Code to solve the problem of documentation scattered across Google Docs, Trello, Apple Notes, and multiple code repositories. The system relies entirely on plain Markdown files organized into folders covering infrastructure, platform design, principles, and other domains. Because an Obsidian vault is simply a folder of .md files, the VS Code AI agent can read it natively without any custom integration, vector database, or embedding pipeline. Version control is handled by initializing a Git repository inside the vault, enabling full decision history and audit trails via a private GitHub repo. The approach was guided by three criteria: zero vendor lock-in, offline and online accessibility, and AI-readability without additional infrastructure.