implement

You can automate TDD feature implementation by defining requirements in a tasks.json file and executing the implement command, which automatically writes failing tests, implements code to pass them, refactors, and commits per task.

Stack-agnostic test automation detects and executes the appropriate test, lint, and vet commands dynamically based on the repository's setup, allowing the TDD workflow to function across different tech stacks without manual configuration.

Yes, automated TDD requires appropriate test, lint, and vet tools configured in your repository, as the stack-agnostic command detection relies on finding these existing tools to validate code quality during the workflow.

Yes, feature implementation supports parallelization and team-based workflows, allowing multiple tasks from the tasks.json definition to be processed concurrently to accelerate development.

The best way to ensure code quality for complex features is using TDD automation, which enforces writing failing tests first, implementing passing code, refactoring, and running lint and type checks per task.

TDD automation requires a tasks.json definition file because it serves as the structured input that defines the specific feature requirements, enabling the automated workflow to systematically process each task through the test, implement, refactor, and commit cycle.