Note: This post contains architecture diagrams. For the fully rendered version visit the original post.
AI coding assistants have fundamentally changed how developers write software. The best ones do one thing well: collapse the distance between the developer's intent and the code that expresses it. But under the hood, they are largely orchestration layers — the individual primitives they use (language servers, vector search, tool-calling LLMs, sandboxed execution) are all open-source or replicable.
This post lays out a complete open-source architecture that covers every capability a modern AI coding IDE ships: autocomplete, chat-in-editor, multi-file agent editing, repo understanding, system design reasoning, and a safe code execution loop. No proprietary APIs required.
The project is called Dhi (धी) — from the Gayatri Mantra. It means pure intellect. The code lives at github.com/sochaty/dhi.
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