Interesting approach! While converting docs to markdown works, I've found that technical documentation (especially for complex repos) needs more than just text conversion for effective LLM consumption.
The key challenge is preserving repository context - like code dependencies, architectural decisions, and evolution patterns. Have others experimented with knowledge graph approaches for maintaining these relationships when processing repos for LLMs?
Interesting approach! While converting docs to markdown works, I've found that technical documentation (especially for complex repos) needs more than just text conversion for effective LLM consumption.
The key challenge is preserving repository context - like code dependencies, architectural decisions, and evolution patterns. Have others experimented with knowledge graph approaches for maintaining these relationships when processing repos for LLMs?