sdlc

To automate an SDLC pipeline with Jira and Confluence context, provide a repository context and a task description to trigger a six-phase lifecycle. The pipeline automatically detects Jira tickets, fetches linked Confluence summaries, and guides the team through Seed, Pre-Refine, Submit, Monitor, HITL, and Complete phases.

Yes, you can run a lightweight coder and reviewer workflow for rapid iteration by using the --short flag. This bypasses the full six-phase SDLC pipeline, providing a fast path for development cycles that do not require comprehensive phase transitions or Jira context gathering.

The six phases of the software development lifecycle pipeline are Seed, Pre-Refine, Submit, Monitor, HITL, and Complete. This structured flow enforces process alignment, handles human-in-the-loop gates, and manages qualifier-based escalations from initial task detection through final completion.

Human-in-the-loop monitoring in an automated SDLC workflow works by pausing the pipeline at designated HITL gates during the Monitor phase. It handles consensus checks and escalation scenarios in real time, ensuring teams review context and approve phase transitions before the pipeline proceeds to completion.

No, you do not need a Jira ticket number to start the SDLC pipeline. You can provide a repository context along with a free-text issue description, and the pipeline will use that input to shape the task description and begin the lifecycle without requiring a specific Jira ticket.

You should use the full six-phase SDLC pipeline instead of the short flow when your team needs strict process enforcement, Jira and Confluence context gathering, and structured human-in-the-loop gates. Use the short flow for rapid, lightweight iterations that do not require comprehensive monitoring or phase transitions.