Codegraph: Effortless Code Insights
Codegraph leverages AI to provide instant code knowledge and insights for efficient development, helping startup founders navigate complex codebases
- •When trying to understand a large, unfamiliar codebase
- •When needing to optimize code for better performance
- •When looking to reduce development time by leveraging AI-powered code insights
npx codegraph --codebase ./myproject --model gpt3 --output insights.json
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/codegraph && curl -fsSL https://workflowstacks.com/api/skills/codegraph/claude-skill -o ~/.claude/skills/codegraph/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Codegraph: Effortless Code Insights is a very large C project (~120k lines across 316 code files, plus 288 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2CLAUDE.mdThe instructions the AI actually follows
- 3src/index.tsWhere the program starts running
- 4package.jsonDependencies and the commands it exposes
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/codegraph && curl -fsSL https://workflowstacks.com/api/skills/codegraph/claude-skill -o ~/.claude/skills/codegraph/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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