brutal-project-review

Automate subsystem-by-subsystem code reviews by dynamically discovering subsystems, building context, and generating actionable findings for critical issues. This systematic approach applies phased review plans to large codebases without manual partitioning.

Resumable state tracking preserves code review progress across sessions using manifest-driven tracking, ensuring traceable audits and avoiding rework. You need this when systematically reviewing large codebases that require multiple sessions to complete.

Generate tasks for critical code review findings automatically through multi-perspective, context-rich reviews. The review process identifies high-severity issues and creates actionable workspace tasks for major findings within each subsystem.

Yes, you can perform risk analysis reviews with manifest-driven progress tracking that preserves state across sessions. This ensures traceable audits and avoids rework when reviewing large codebases subsystem by subsystem.

Systematically review large codebases using dynamic subsystem discovery and phased review plans. This method builds rich context per subsystem and applies multi-perspective analysis to ensure critical issues generate actionable tasks.

Subsystem discovery works from the repository root to dynamically identify and partition codebases for phased reviews. It builds context per subsystem, ensuring comprehensive coverage regardless of the underlying project structure.