controller

You orchestrate multi-phase bugfix workflows by coordinating phase transitions across assess, reproduce, diagnose, fix, test, review, document, pr, and summary stages. The controller enforces gating logic and explicit user prompts to prevent auto-advancement, ensuring safe, orderly progression and auditable decisions.

Phase-gated orchestration is a control mechanism for AI agent bugfix tasks that enforces user decision points between workflow phases. It applies sequencing rules and structured recommendations to prevent auto-advancement, ensuring every phase transition requires explicit human approval before proceeding.

To stop automated agents from skipping bugfix workflow phases, the controller implements gating logic via explicit user prompts to proceed. This prevents auto-advancement by requiring human confirmation at each phase gate, ensuring all decisions are auditable and progression is orderly.

The bugfix workflow phase sequence covers assess, reproduce, diagnose, fix, test, review, document, pr, and summary. The controller applies phase sequencing rules to coordinate transitions, providing structured recommendations and next-step options to guide agents and humans through the end-to-end process.

The best way to structure an end-to-end bugfix workflow with guardrails is using centralized control over multi-phase tasks. This approach enforces phase gates and user prompts to govern progression, applying across all phases with structured recommendations to ensure safe and auditable decisions.

User prompts at every bugfix workflow phase transition are needed to enforce user decision points and prevent auto-advancement. This gating logic ensures safe, orderly progression and creates auditable decisions, keeping human oversight central to the AI agent orchestration process.