bmad-agent-dev

Automating test-driven development for software stories requires providing detailed story instructions so the AI agent can implement code, create unit tests, and validate a 100% pass rate before marking tasks complete. The agent ensures all code changes are tested and documented automatically throughout the process.

Story execution in code implementation is the process of executing tasks and subtasks precisely as described in accompanying story files. It ensures all steps are completed in order, records implementation decisions, and updates the list of changed files after each task to maintain strict adherence to story details.

Ensuring code review readiness with documented test coverage involves creating, running, and validating comprehensive unit tests for each implementation. The agent records implementation decisions, tests created, and progress directly in the story file, guaranteeing all changes are tested and documented before completion.

Yes, you can use an AI agent for disciplined story-driven development workflows if you provide detailed story instructions. The agent automates code implementation and testing, benefiting software engineers and QA teams by ensuring strict adherence to story details, test coverage, and team standards.

To track implementation decisions and changed files during story execution, the agent automatically records implementation decisions, tests created, and progress in the story file. It updates the list of changed files after each task, ensuring all documentation stays current throughout the development process.

Story execution requires a 100% test pass rate before marking tasks complete to ensure strict adherence to testing standards and team quality. The agent creates, runs, and validates comprehensive unit tests for each implementation, guaranteeing all code changes are fully tested before completion.