[HN] Ask HN: Deterministic codebase maps vs. LLM inferred knowledge graphs?

Summary

The discussion centers on two methods for AI agents to understand codebase structures: LLM-inferred knowledge graphs, which are quick but involve 'guessing,' and deterministic maps built directly from code, offering consistent accuracy. The core question is why the less reliable LLM-inferred approach is currently more popular on GitHub despite the clear benefits of deterministic methods. This highlights a key tension between development speed and the need for accuracy in AI-driven code analysis.

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