With the rapid development of AI coding assistants and autonomous agents, how to effectively manage and orchestrate the workflows of these agents has become a new technical challenge. Existing solutions often have the following problems: messy working directories, difficulty in tracking task status, unpredictable agent execution results, and lack of standardized verification and submission processes.
Development teams need a tool that ensures transparent, reliable, and recoverable agent work—not only to manage agent execution but also to ensure that every change is properly isolated, verified, and recorded.