lifecycle

You can automate feature lifecycles by using file-based artifacts and JSON event logs to guide discovery, specification, planning, implementation, and review phases with automated transitions. It coordinates structured progression through phase gates.

Backlog integration connects lifecycle progress with backlog items by loading tag-based requirements and managing artifact registration, ensuring full traceability across the entire feature lifecycle from discovery to review.

Yes, interactive worktrees support multi-feature parallelism, allowing you to run scalable workflows simultaneously. Each lifecycle generates phase-specific artifacts like research.md, spec.md, plan.md, and review.md independently.

Structured phase gates enforce artifact progression by auto-generating required files such as research.md, spec.md, plan.md, review.md, index.md, and events.log for each phase, driving automation and creating an auditable event trail.

No external dependencies are required to coordinate feature lifecycle phases. The system relies entirely on file-based artifacts and JSON-based events to manage phase transitions, artifact registration, and auditability.

Launch a new lifecycle by running the cortex-core:lifecycle command for your feature and following the prompts to complete the first phase, which initializes the artifact generation and event logging process.