loop-plan-evaluator

To validate an execution plan before coding, you can evaluate scope alignment, detect overlap with existing code, and verify dependency correctness. This process outputs a PASS/FAIL verdict to ensure plan integrity and prevent wasted development effort.

DAG validation checks the structure and correctness of a task dependency graph to ensure tasks are ordered correctly and prerequisites are met. This prevents execution failures by verifying the directed acyclic graph integrity before implementation begins.

Checking for task overlap and scope alignment involves verifying each task directly maps to specified requirements while detecting redundant work against completed tasks. This ensures no task duplicates existing functionality within the codebase.

You can use a quality gate to review major development tracks before implementation by convening a 'Board of Directors' for critical assessment. This expert review ensures plans are technically sound and logically lead to the desired outcome.

The plan evaluation process supports automated dependency management by validating task ordering and ensuring all prerequisites are met before execution. It rigorously checks dependency correctness to prevent technical blockers during implementation.

Without complete codebase analysis, plan evaluation may fail to detect overlap with existing functionality or accurately verify scope alignment. Overlap detection requires checking proposed tasks against completed work to effectively prevent redundant development.