ai-factory.improve

To refine an AI-generated implementation plan, you can use a second-pass codebase analysis to detect missing tasks, identify incorrect dependencies, and check integration points. This process updates the existing plan file to reflect deeper code exploration and edge case identification.

Iterative plan refinement is re-analyzing existing implementation plans against the codebase for a second pass. It enhances plan quality by performing deeper code exploration to identify gaps, missing tasks, and incorrect dependencies before implementation begins.

You can check an implementation plan for incorrect dependencies and gaps by running an automated re-analysis script against your codebase. This identifies missing database migrations, API route updates, and error handling considerations, then updates the plan file.

You need a second pass on AI codebase analysis when your initial implementation plan lacks detail or completeness. It is required before implementation begins to ensure all necessary database migrations, API route updates, and error handling considerations are included.