autonomous-developer

Automating sprint backlog story implementation requires enabling autonomous developer mode to manage feature branching, incremental test-driven development, automated commits, and pull request creation. The workflow identifies viable stories, implements them with tests, and pushes branches for review.

The git workflow for automated test-driven development involves creating a feature branch named feature/summary-of-story-title, implementing changes incrementally, running tests after each step, committing upon success, and pushing to remote before opening a pull request.

Yes, you can automatically create pull requests from sprint backlog stories by enabling autonomous developer mode. The process manages feature branch creation, incremental implementation with tests, automated commits, and remote pushes to streamline code review and integration.

No, autonomous sprint story implementation applies specifically to well-defined stories in the current sprint. It requires a defined workflow including feature branches, automated commits after tests, and remote pushes to deliver incremental code changes effectively.

No, you do not need to manually commit changes during autonomous feature branching. The workflow commits changes automatically after each successful test run, maintaining a clean git history while incrementally implementing the story.

Limitations of automating agile story delivery include the requirement for explicit enablement of autonomous developer mode and a strictly defined workflow. It only applies to well-defined stories, meaning ambiguous backlog items cannot be processed autonomously.