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You can automate the complete software development lifecycle by orchestrating a multi-phase PDCA workflow, which manages feature implementation from initial requirement gathering and planning through building, verification, and closing using a coordinated agent system.

Yes, you can use an AI agent system to plan, build, and verify a new feature automatically by invoking the workflow with a simple command, allowing specialized agents to handle tasks like coding, reviewing, and testing.

The PDCA workflow for code generation and testing is a coordinated cycle involving Plan, Do, Check, and Act phases, which manages feature implementation from initial requirements gathering and planning through to building, verification, and closing.

Yes, the automated development workflow supports both interactive and autonomous modes, providing adaptive complexity handling to suit various development scenarios and allowing user interaction during complex feature implementation.

You can run integrated code reviews within an automated development workflow by leveraging the verification phase, where specialized AI agents automatically review and test the generated code before closing the feature implementation cycle.