speckit-converge

To verify codebase implementation against feature specs, you can automatically compare your current code with spec.md, plan.md, and tasks.md to identify implementation gaps. This ensures planned requirements are fully met without manual oversight.

Spec convergence is the process of aligning codebase implementation with feature specifications. It works by parsing project artifacts and constitution principles to assess the project state and generate traceable remediation tasks for any missing work.

To generate traceable tasks for missing requirements, run an automated gap analysis against your feature specifications. The system identifies incomplete work and appends new, actionable tasks to tasks.md to maintain a clear audit trail.

Yes, you can automate quality assurance and feature parity verification by parsing project artifacts to assess the current codebase against feature specifications. This identifies technical debt and unfinished requirements automatically after a sprint.

Yes, speckit-converge operates without external dependencies. It parses your existing project artifacts like spec.md, plan.md, and tasks.md directly to assess the project state and generate remediation tasks.