Stop Feeding Your AI the Whole Codebase. Feed It What Actually Ran.

1. 1Capture runtime evidence at the block level to provide more relevant data to the AI
2. 2Make the captured evidence multithread-aware to account for concurrent execution
3. 3Aggressively denoise the captured evidence to remove irrelevant information
4. 4Feed the processed runtime evidence to the AI instead of the whole codebase
5. 5Evaluate the AI's performance and adjust the evidence capture and processing as needed

Developers and AI engineers can benefit from this approach to improve the accuracy of AI-assisted development tools and reduce errors

💡 Feeding AI runtime evidence instead of the whole codebase can significantly improve its understanding of the code and reduce hallucinations

Improve AI code understanding by feeding it runtime evidence, not the whole codebase!