aif-improve

To refine an implementation plan, you can re-analyze the codebase to surface gaps, missing tasks, and incorrect dependencies, producing an improved plan with clearer tasks and correct sequencing. This ensures reliable execution and better traceability of work items.

Deep codebase analysis for plan improvement is the process of reviewing existing project code to identify risky assumptions and gaps in an implementation plan. It delivers actionable, testable tasks by enforcing project-specific constraints for more reliable execution.

You need to re-analyze your codebase to improve task definitions when your existing implementation plan lacks deeper codebase understanding or has unreliable task sequencing. This process polishes the plan before implementation by correcting task dependencies and wiring.

Yes, you can use ai-assisted planning to enforce project-specific constraints on an existing plan. By re-analyzing the codebase, it refines task descriptions and dependency wiring, ensuring the updated plan delivers actionable and testable work items.

The best way to polish an implementation plan before development is to run a deep codebase analysis to surface gaps and risky assumptions. This improves task definitions, corrects dependency wiring, and produces an improved plan with reliable task sequencing.

Your implementation plan has incorrect task dependencies because it lacks deep codebase analysis to validate task wiring. Re-analyzing the codebase surfaces these gaps and risky assumptions, producing an improved plan with correct sequencing and clearer tasks.