my-research

To verify codebase research findings across multiple files, you can coordinate parallel agents to explore the codebase and cross-reference all claims before presenting results. An adversarial review step then validates conclusions to ensure accuracy.

The best way to understand a complex codebase before making changes is to use parallel discovery agents that explore multiple files, docs, and configurations simultaneously. This approach gathers cross-referenced evidence to explain how components work.

Yes, you can use parallel agents to explore docs and configurations alongside source files. The multi-agent discovery process applies to complex codebases by cross-referencing findings across all these areas to synthesize verified conclusions.

Adversarial review prevents unsupported conclusions in codebase analysis by applying a challenge loop that rigorously tests synthesized claims. This verification step ensures that all presented findings are backed by cross-referenced evidence from the parallel exploration.

You need multi-agent discovery for codebase research when understanding how components work requires parallel exploration across multiple files, docs, and configurations. It enforces rigorous claim verification to avoid unsupported conclusions in complex systems.