feature-implementation

You can automate feature implementation by invoking a multi-subagent workflow that reads a labeled GitHub issue, creates a branch, writes tests, generates stubs, implements code, and verifies deliverables. This TDD-driven process ensures safe and auditable progress.

Orchestrating parallel subagents for TDD allows independent tasks like code generation and test execution to run simultaneously. The workflow preserves sequential requirements for writing tests and stubs, while using checkpoints and rollback strategies to maintain safety.

Yes, automated feature delivery integrates directly with GitHub CLI tooling. It uses git operations and the gh CLI to manage branch creation, pull requests, and issue updates automatically as the TDD workflow progresses through implementation and verification.

Checkpoints and rollback strategies use commit tags to safely revert progress if a workflow step fails. This ensures auditable progress during automated code generation by allowing the system to fall back to a previous state without manual intervention.

No, but the workflow includes interactive decision points that prompt you for critical choices. You will be asked to approve the feature plan, confirm branch naming, and select retry or fallback options to maintain control over the subagent orchestration.

Subagent delegation for feature implementation requires strict sequential ordering for tests and stubs to prevent conflicts. While independent tasks run in parallel, complex feature plans may require frequent manual intervention at interactive decision points to ensure correct deliverables.