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Stacklit

One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto-configures Claude Code, Cursor, and Aider.

Stacklit screenshot

Every AI coding session starts the same way: the agent burns thousands of tokens just figuring out what your codebase even looks like. Stacklit scans the repo once and generates a compact, AI-agent-ready index -- around 250 tokens replacing 50,000+ tokens of exploration, over 200x smaller.

It uses tree-sitter to parse 11 languages, generates visual dependency maps, and ships an MCP server for AI coding assistants. Merkle hashing enables smart caching so re-scans are instant, and it auto-configures Claude Code, Cursor, and Aider so there's no manual setup step.

Crossed 100 GitHub stars within weeks of release.

Project InfoLive
ShippedApril 9, 2026
100+ GitHub stars
Built with
GoCLIAIMCPtree-sitter
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