gsd-plan-review-convergence

You can automate iterative plan convergence by integrating external AI CLIs like Codex or Gemini, running review loops that replan until all high concern issues are resolved or maximum cycle counts are reached.

An AI review loop iteratively evaluates plans within isolated agents to maintain workflow integrity, triggering replanning based on feedback until all high concern issues are eliminated or maximum cycle counts are reached.

Yes, local server reviewers like Ollama, LM Studio, or llama.cpp integrate directly into the convergence loop alongside external CLIs to provide comprehensive AI plan replanning and review feedback.

You control cycle count and select AI tools using command configuration flags. Running the skill with arguments like `--codex --phase 3` specifies the external reviewer and sets the execution phase parameters.

Running AI agent execution in an isolated environment preserves workflow integrity. It ensures the iterative plan convergence loop operates independently, preventing external interference during review and replanning cycles.

When the maximum number of review cycles is reached in a plan convergence loop, the iterative replanning process stops. The loop terminates regardless of whether all high concern issues from the AI reviewers have been fully resolved.