ai-factory.feature

End-to-end feature development automation translates user requests into git branches, task plans, and implemented code. It orchestrates branch creation, planning, and execution sequentially or in parallel, removing manual context-switching across the software development lifecycle.

Git branch management for parallel feature workflows uses git worktrees to isolate development. The automation parses user intent to generate descriptive branch names, enabling traceable, parallel task execution without manual branch creation or context switching.

Task planning for a new software feature generates a structured feature plan file stored in a designated directory. This plan coordinates downstream implementation steps, ensuring autonomous code generation aligns with the original user request and testing preferences.

Yes, parallel worktrees support simultaneous feature development by isolating branches. The automation manages git worktrees and coordinates planning and implementation steps across parallel modes, preventing conflicts and streamlining multi-feature workflows.

AI-assisted development integrates with existing git workflows by parsing user intent to generate standardized branch names and managing cleanup scenarios. It automates traceable branch creation and feature toggles within your software-repo workflow.

Use the cleanup flag in automated feature development workflows to manage and remove completed or stale feature branches and worktrees. This maintains a clean git environment after task planning and implementation steps are fully executed.