Exploring a complex codebase with AI
summary
Uses AI agents (ONA, Cloud Code, Gemini, Anthropic/Claude) to analyze the Go runtime and compiler source: runs repository-wide dependency analysis that finds 13 dependency cycles detected and generates Graphviz/mermaid graphs; queries git history to surface active components and recent refactorings; reads individual files with a single-request tool (Aether) to explain parser, channels and GC, identifying the GC as concurrent tri‑color mark‑and‑sweep; generates diagram-as-code and four‑choice quizzes to validate understanding, saving hours for a ~$50–$70 prep cost.
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chapters (12)
- 0:00Introduction
- 1:07Why explore source code
- 4:02Two AI approaches for codebases
- 6:53Using code agents for exploration
- 10:27AI in your mother tongue
- 13:46Interrogating files with AI
- 18:53Understanding garbage collector
- 25:37Generating diagrams from code
- 31:12Exploring Go channels
- 35:49Reviewing agent results
- 40:28Encouragement to try AI tools
- 41:13Q&A
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