agent-teams-feature-dev

Automating full-stack feature development is handled by orchestrating a pipeline of AI agents through design, implementation, testing, and review phases to build new functionalities automatically. It structures the entire development cycle into a parallel execution pattern.

Yes, parallel implementation is supported for frontend and backend development. It enables concurrent execution based on defined interfaces, allowing separate AI agents to work on different application layers simultaneously to speed up delivery.

Yes, you must enable experimental agent teams. Parallel execution requires this specific environment configuration to ensure the structured pipeline can properly orchestrate the Lead, FE, BE, and Test agents concurrently.

The best way to structure automated design, implementation, and testing is using a pipeline execution pattern. It orchestrates a team of AI agents to manage the design phase, write the logic, and generate comprehensive tests sequentially and concurrently.

The automated feature development pipeline includes Lead, Frontend (FE), Backend (BE), and Test agents. These specialized agents collaborate to design APIs, implement components, write logic, and generate tests.

Automated feature development handles testing and review by integrating them as final stages in the pipeline. After the implementation phase completes, the system automatically generates comprehensive tests and performs reviews to validate the new functionality.