agentic-coding-workflow

Maintaining an audit log for autonomous AI coding actions requires creating and appending to an append-only AUDIT.log at your repository root for every action, recording explicit approvals to ensure traceability and prevent unauthorized changes.

The verification-before-implementation protocol requires running read-only verification sessions on relevant code, creating written work plans with approval checkpoints, and obtaining explicit approval before modifying production-affecting files.

Setting up pre-deployment schema checks before pushing to Railway involves enforcing formal pre-push verification gates that validate schemas and execute tests, ensuring safe pushes only after passing these deployment checks.

Yes, multi-model review handoffs between Claude.ai and Claude Code are supported, as the workflow defines specific roles for each model to facilitate structured code review and autonomous action verification.

Securing AI-assisted coding sessions against unlogged changes requires enforcing append-only permissions auditing, verification checkpoints, and pre-deployment gates throughout the development workflow.

Yes, an append-only AUDIT.log at the repository root is required to run autonomous YOLO coding actions safely, as it records every action and explicit approval to maintain traceability and reduce deployment risk.