What problem does it solve?
It helps you turn messy, incomplete, or complex situations—like bugs, performance issues, or security concerns—into clear findings and prioritized next steps based on evidence.
Core Features & Use Cases
- Systematic context gathering: reviews relevant files and related history to ground the analysis in real information.
- Structured investigation: identifies patterns, antipatterns, execution flow, dependencies, and edge cases without jumping to conclusions.
- Debugging-ready output: uses a 4-phase protocol for bug analysis to prioritize root cause, compare working vs broken deltas, and apply a 3-failure circuit breaker when hypotheses stall.
- Actionable synthesis: produces objectively grounded summaries, key findings, and recommendations prioritized by impact, including risks and tradeoffs for architecture.
Quick Start
Ask the AI to run deep analysis on the problem, explicitly requesting file-and-line citations and a prioritized recommendation plan.