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

Architecture intelligence for developers, coding agents, and CI - understand codebases, analyze change impact, and catch architectural regressions.

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

Understand any codebase, even the code you no longer master. On your machine, never in the cloud.

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.

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.

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.

A lightweight Codex Skill for software interns to understand codebases, distill engineering patterns, and build evidence-backed experience.

为VibeCoding创作者提供项目接管，代码地图，修改指导和上线部署建议的平台 Project intelligence platform for Vibe Coding creators: code maps, project handoff, modification guidance, and deployment insights.

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).

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

A codebase-understanding system for Claude Code: a persistent, actively-refreshed knowledge layer that makes Claude behave like it already knows your codebase.

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).

A curated list of tools and resources for understanding codebases, dependencies, architecture, changes, and AI context.

Production toolkit for running GitNexus at scale — 26 repos, 43K symbols, 100K edges, zero data loss. Docker, cron, AI agent integration. Featured in GitNexus Community Integrations.

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