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You can manage the software development lifecycle by initializing a project with context-driven development, allowing AI agents to act as proactive project managers. This enforces a strict protocol of Context, Spec and Plan, then Implement for consistent delivery.

Context-driven development is a structured workflow that transforms AI agents into proactive project managers. It ensures features and bug fixes are developed with deep project context by enforcing a strict protocol of Context, Spec and Plan, then Implement.

To set up a new feature track, initialize the project to establish product vision and tech stack, then create individual units of work. Each track receives dedicated specs and phased plans to guide task implementation following TDD principles.

Yes, you can perform safe reversion during development using Git-aware rollback capabilities. This allows you to roll back entire tracks, specific phases, or individual tasks if implementation deviates from the defined plan.

Yes, spec-driven development supports Test-Driven Development principles by guiding AI agents to implement tasks according to defined plans. It ensures adherence to project standards while maintaining a strict Context to Spec and Plan to Implement protocol.

You can monitor the status of active tracks through built-in status monitoring features. This provides a comprehensive overview of all active feature and bug tracks, showing their current progress through the phased implementation plans.