code-execute-staged-plan

To execute a staged codebase plan incrementally, you coordinate changes with a ground-truth local clone and a dated agent_logs progress log, ensuring each stage passes validation gates before advancing. This approach prevents drift and maintains strict traceability across long-running changes.

When pushing staged code changes to a cluster, you should run a multi-stage validation gate sequence: a byte-identical FIRST check, behavior parity verification, and GPU smoke tests on the correct SIF environment. Progress is gated stage-by-stage to prevent drift.

To prevent code drift when applying multi-stage edits to a feature branch, re-read scope and reconfirm code anchors before each stage. Maintain a ground-truth local clone baseline and keep the cluster state in sync throughout the execution process.

Yes, you can resume a long-running codebase plan if execution is interrupted by leveraging per-change agent_logs. These dated progress logs record validation results and plan status, allowing you to audit previous steps and resume execution safely.

During gated staged plan execution, you commit, push, and sync changes to the target cluster only after all validation gates turn green. The plan status is updated accordingly, ensuring meticulous edits on the feature branch are fully validated before deployment.