This compression approach reminds me of similarities with human knowledge transfer. In both cases, we're looking for compact representations that can reconstruct complex information.

For technical documentation, I'm experimenting with a similar concept: instead of exhaustively documenting every implementation detail, defining a minimal set of principles and architectural decisions that allow "regenerating" the complete understanding.

Current LLMs excel at expanding compressed concepts, but we're still far from finding the optimal balance between explicit knowledge (detailed documentation) and implicit knowledge (patterns and principles). Is anyone working on systems applying similar ideas to technical knowledge management?