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Automatically build a knowledge base from a codebase by triggering the process once to inventory sources, iterate topic-by-topic, distill domains, and output structured artifacts without further prompts.

Autonomous topic discovery for repository documentation is a deterministic learning loop that scans scattered code and docs to compile a complete domain knowledge output including topics, domains, and summaries.

Yes, you can generate onboarding documentation without manual prompts by initializing the structure once; the system then operates autonomously to learn topics and produce a ready-to-use knowledge base.

No, autonomous codebase learning requires no user prompts after initialization, enforcing a deterministic, topic-by-topic learning loop that completes the domain generation and final distillation independently.

The best way to turn scattered code and documentation into a searchable repository is orchestrating end-to-end knowledge base construction that inventories sources, learns topics, and distills domains into structured outputs.