gsd-plan-review-convergence

Iterative plan review convergence repeatedly combines planning and external review to eliminate high-priority concerns. It replans after reviewer feedback and re-runs reviews across cycles until risks vanish or escalation is required.

Plan-review convergence is a phased process alternating between plan generation, external review, and revision. You need it when a draft execution plan must be hardened to prevent plan quality from stalling before committing to implementation.

Yes, the plan-review convergence loop supports multiple review sources including Ollama, LM Studio, llama.cpp, Codex, Gemini, Claude, and OpenCode for external review feedback parsing across cycles.

Stall detection identifies repeated failure patterns during the iterative convergence loop. It stops the process on cycle limits, detects recurring issues, and triggers escalation gates when high-priority concerns cannot be cleared through revision.

The best way is multi-reviewer iterative convergence, which coordinates feedback from selected AI reviewers across cycle limits. It applies structured feedback parsing and safety gates to escalate when high-priority concerns persist.

Iterative planning stalls when repeated failure patterns go undetected without cycle limits or escalation gates. Plan-review convergence solves this by applying stall detection and structured feedback parsing to force escalation when high risks remain.