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Full-lifecycle development automation uses a state machine to manage workflow from requirement locking through architecture design, tech spikes, task decomposition, execution, and review. You provide requirements and decisions, and the agent handles hands-off end-to-end delivery.

Code refactoring automation handles large codebases by decomposing the work into manageable tasks within an autonomous workflow. The agent manages the entire refactoring lifecycle, requiring your input for architectural decisions while executing the structural changes automatically.

Autonomous development workflow management uses a state machine to transition between lifecycle phases like requirement gathering, architecture design, and execution. It provides a user interface for session recovery and progress snapshots, ensuring you can resume complex development workflows seamlessly.

Yes, this autonomous development agent supports full-stack development by automating end-to-end feature implementation. It handles architecture design and task decomposition across the stack, requiring only your initial requirements and key decisions to proceed with hands-off execution.

No, you do not need to manually execute each step for end-to-end feature development. The agent automates the full software development lifecycle from requirement locking to delivery, although it does require user input for initial requirements and critical decisions during the workflow.

Autonomous development automation requires user input for requirements and decisions, meaning it is not fully unattended. It relies on a state machine for workflow management and provides session recovery, but complex feature development and refactoring still need human checkpoints for key architectural choices.