developing-plan-reviewers

Domain-specific AI reviewers are specialized agents that assess project feature plans against established conventions and patterns. They integrate with planning phases to evaluate sub-plans for correctness within specific domains like Go code, API layers, or database schemas.

Automating code review for database schemas involves deploying a plan-database-reviewer agent to ensure proposed schema changes adhere to project standards. You define the reviewer scope, output format, and inject domain knowledge to evaluate the sub-plans.

Yes, you can leverage pre-loaded skills to imbue custom AI reviewer agents with deep knowledge of conventions, patterns, and pitfalls within their domain. This allows the reviewers to effectively evaluate sub-plans for domain-specific correctness.

You define the scope and output format for an AI reviewer agent during the agent development process. This configuration enables the reviewer to focus on specific aspects of project plans and return evaluations formatted to your workflow requirements.

You need a specialized AI reviewer agent when planning features involving complex domain interactions, such as database schemas or API layers, where generic checks are insufficient. Domain-specialized reviewers ensure proposed changes adhere to specific project standards and best practices.