aidlc-auto-mode

End-to-end AI-DLC workflow automation orchestrates inception through build-test with configurable gates, coordinating requirements analysis, application design, and units generation without manual steps. It enforces traceable decisions and safe handoffs throughout the entire lifecycle.

Automated devflow session resume uses decision-logs and audit trails to enable drift-resilient execution. It allows safe replays and handoffs in complex environments by detecting drift and automatically managing session state across mandatory and optional workflow steps.

Auto-mode workflow automation fully supports greenfield AI-DLC projects by coordinating inception, construction, and testing. It handles workspace detection, complexity assessment, user stories, NFRs, and workflow planning with mandatory gates and automatic session management.

AI-DLC automation stage orchestration sequences mandatory and optional steps including workspace detection, requirements analysis, and application design. It integrates multi-agent reviews and enforces traceable decisions through configurable gates to ensure safe handoffs.

Automated devflow session management relies on decision-logs and audit trails for drift-resilient replays, but complex environments may require manual verification during handoffs. Drift detection ensures traceability but does not replace human review of generated application units.