John Wick Mode

An autonomous SDLC pipeline orchestrates phases from PRD generation to pull request creation. It manages architectural design, TDD implementation, and compliance verification with strict state management to ensure deterministic software delivery without manual intervention.

Yes, a resumable pipeline maintains state across sessions, allowing safe interruptions and context-aware recovery. This strict state management and process control mechanism ensures complex multi-phase workflows can pause and resume without losing progress.

Yes, the autonomous pipeline requires the GitHub CLI (`gh`) dependency to execute its end-to-end workflows. This integration enables the pipeline to automatically handle pull request creation and manage repository interactions during the software delivery process.

Test-driven implementation in an autonomous SDLC workflow enforces writing tests before code generation. The pipeline manages this structured approach to building software, ensuring traceability and meeting strict success criteria contracts during feature development.

Compliance verification is needed at the final stage of an automated SDLC pipeline to validate that the generated code meets required standards. It enforces strict success criteria contracts during the software delivery process to ensure deterministic and reliable outputs.

The best way to structure complex feature development is using a fully autonomous pipeline that handles discovery, architectural design, and TDD. This disciplined approach ensures traceable software delivery while enforcing strict process controls and success criteria contracts.