full-cycle

To orchestrate an end-to-end production cycle for a large codebase, you can chain multiple workflows covering audit, upgrade, research, planning, automated fixes, evaluation, and shipping. This delivers production-ready code by executing a multi-phase process with configurable depth and parallelism.

A full production lifecycle workflow for pre-launch readiness includes seven phases: audit, upgrade, deep research, CEO plan, auto-swarm fixes, self-evaluation, and shipping. Each phase generates structured outputs and traceable artifacts written to .productionos files for governance and review.

Yes, you can automate code quality fixes and planning for major milestones by running an auto-swarm fix phase followed by a self-evaluation phase. This enforces a structured review process that scales to large codebases and ensures production-ready code before shipping.

You can configure the depth of an automated code audit and upgrade process when initiating the lifecycle. This configurable depth allows the multi-phase workflow to scale appropriately for large codebases and pre-launch readiness requirements.

No, the production cycle workflow requires no external dependencies to run. It operates independently to chain the audit, upgrade, research, planning, swarm-fix, evaluation, and shipping phases into a complete lifecycle for delivering production-ready code.

Phase outputs are stored as structured, traceable artifacts in .productionos files during the end-to-end code review and fix cycle. This ensures that every audit, research, and planning phase result is documented for governance and review.