Understand any codebase instantly. System intelligence for codebases, built for humans and AI.

The fastest way to understand any unfamiliar codebase using real project signals. Not blind AI guessing. Signals first. LLM second

MCP server for AI coding agents - gives Claude Code, OpenCode, Cursor, and Codex CLI structural understanding of your codebase: symbol graph, blast radius, semantic search, conventions.

Agent skill that studies any codebase and produces structured knowledge artifacts. Works with Claude Code, Cursor, OpenCode, and any agentskills-compatible agent.

Repository intelligence for private and evolving codebases—powering architecture, dependencies, reviews, documentation, and trustworthy AI.

Stop analyzing code manually. Understand your codebase, review changes for safety, find performance issues, or plan implementations with surgical precision. 4 modes, zero setup, complete confidence.

AI agent skills and evidence-backed workflows for understanding unfamiliar codebases, assessing change impact, and growing developers into confident maintainers.

Local-first code intelligence for AI coding assistants: MCP tools, symbol graph search, impact analysis, and auto-index watch for Cursor, Claude Code, and Codex.

Companion demo + template for wikify-repo: a live, browseable example of the grounded markdown code-wiki its wikify-ingest-repo skill produces (Karpathy LLM-wiki applied to code).

Compile any codebase into a grounded, lint-clean markdown wiki your AI agent can actually trust — SCIP symbol resolution + citation linter, plain markdown you own (no graph DB, no SaaS).

The ultimate MCP server for code intelligence. Smart context, semantic search, call graphs, pattern detection & token optimization. Makes LLMs understand any codebase perfectly.