Turn Code into
Engineering Insights
The developer-first platform that parses your repository to generate technical books, architectural diagrams, and mock interviews tailored to your stack.
Powered by modern analysis engines
Core Engines
System Modules & Capabilities
Documentation Engine
Auto-generates comprehensive technical documentation by parsing ASTs and file relationships.
Contextual Mock Interview
AI interviewer that understands your specific architecture and asks deeper system design questions.
Deep Static Analysis
Identifies anti-patterns, security risks, and complexity hotspots beyond standard linting.
Architecture Visualizer
Instantly reverse-engineers codebase capability into Mermaid.js charts and class diagrams.
Trusted by
Engineering Teams
See what developers are saying about their new AI-powered documentation workflow.
Join 10,000+ engineers shipping faster with GitDoc.
"GitDoc reverse-engineered our entire microservices architecture in seconds."
Sarah Chen
"The context-aware mock interview is terrifyingly good. It found bugs I missed."
Marcus R.
"Documentation that updates itself. We've cut onboarding time by 40%."
Emily Watson
"I use this to explain my legacy code to junior devs. It's a lifesaver."
David Kim
"The AST parsing is surprisingly accurate even for dynamic Python code."
Alex J.
"Finally, a tool that actually understands system architecture."
Priya S.
"GitDoc reverse-engineered our entire microservices architecture in seconds."
Sarah Chen
"The context-aware mock interview is terrifyingly good. It found bugs I missed."
Marcus R.
"Documentation that updates itself. We've cut onboarding time by 40%."
Emily Watson
"I use this to explain my legacy code to junior devs. It's a lifesaver."
David Kim
"The AST parsing is surprisingly accurate even for dynamic Python code."
Alex J.
"Finally, a tool that actually understands system architecture."
Priya S.
System FAQ
GitDoc clones your repository to a secure sandboxed environment and uses advanced AST parsing combined with LLM analysis. It builds a semantic graph of your code to understand dependencies, class structures, and business logic before generating documentation.