autopilot

You can automate Jira ticket to draft pull request workflows by using autonomous build mode, which applies decision-gated agent orchestration to handle scope refinement, code implementation, and parallel review fan-out without waiting for manual approval at every checkpoint.

Autonomous planning for software engineering is the process of refining task scope, decomposing work, and stress-testing execution plans using agent-based decision gates. You need it when you want work to progress asynchronously and return a structured plan ready for your review.

You execute parallel code reviews and manage bot feedback autonomously by triggering build mode, which orchestrates specialist agent fan-out for review, enforces iteration limits, and handles CI or bot-comment remediation before creating a draft PR.

Autonomous code generation handles escalation when confidence drops by enforcing deterministic checkpoint validation and iteration limits. Instead of guessing, the decision-maker agent escalates the issue and logs every major state change to beads for audit tracking.

Yes, you can use Git worktrees for isolated autonomous feature delivery. The skill executes implementation within Git worktrees to isolate changes before performing GitHub PR operations and generating a draft pull request for review.

Hands-free autonomous planning for complex feature delivery is bounded by built-in iteration limits and deterministic checkpoint validation. If agent confidence drops below thresholds during scope refinement or implementation, the workflow escalates rather than forcing a completion.