bmad-agent-dev

Test-first software development is automated by executing stories through a structured lifecycle of sprint planning, test generation, and code implementation using TDD principles. The agent sequences tasks, writes tests, and implements code according to project-specific acceptance criteria.

Sprint planning and code reviews are managed in an automated workflow through an integrated agent that structures task sequencing and performs comprehensive code reviews against defined project standards. This ensures quality assurance throughout the code implementation lifecycle.

Yes, you can use an AI agent to generate tests and implement code based on acceptance criteria. The agent applies a Red, Green, Refactor methodology to automatically sequence development tasks, write tests first, and then execute the code implementation.

Yes, story execution requires integration with project-specific configuration files. The agent enforces defined acceptance criteria and quality standards by reading these configurations before beginning the test generation and code implementation workflow.

A TDD agent handles the refactoring phase by following a structured Red, Green, Refactor workflow during story execution. After tests pass, the agent refactors the code implementation while ensuring adherence to the project's defined quality standards.

You should not use an automated TDD agent for software engineering tasks when your project lacks defined acceptance criteria or project-specific configuration files. The agent requires these structured inputs to sequence tasks and validate code implementation properly.