AutonomLayer has officially launched Criticize AI, an innovative tool tailored for developers working on existing, complex software projects, often referred to as 'brownfield' environments. Unlike many AI coding tools that jump directly from a prompt to a code differential, Criticize AI focuses on providing a comprehensive and structured review of the current codebase before any new development plans are solidified. This approach is designed to help teams identify potential issues, technical debt, and areas for improvement within their established repositories, which frequently contain historical context, partial refactors, and undocumented assumptions.

The tool operates by allowing users to point AutonomLayer at a project folder and describe the intended changes. Criticize AI then explores the codebase, generating a detailed markdown report named `criticism{id}.md` within the repository. This report outlines findings with specific areas, severity levels (low, medium, high), locations, issues, and recommendations, without automatically implementing any code changes. This separation of review and execution is a core tenet, ensuring that developers maintain control and can approve findings before proceeding to generate an update plan.

Criticize AI offers a customizable review process, enabling users to select specific focus areas such as security, UX & interaction logic, performance, architecture, error handling, testing, API contracts, privacy, and documentation. This allows for targeted scrutiny based on immediate project needs, or a general review across all practical dimensions. The resulting report serves as a concrete brief for subsequent development, moving away from speculative planning based on one-shot prompts. AutonomLayer emphasizes that this method ensures plans are derived from a clear understanding of the existing reality of the codebase, rather than treating it as a blank canvas.