Clears coordinates the entire delivery pipeline as automated workflows: analysis, approval, implementation, and review, each agent picking up exactly where the last left off, all in plain view.
Story Analysis explores your code and runs Q&A. Approval Processing decomposes the spec into subtasks. Implementation writes and commits code per subtask. PR Analysis pre-briefs your reviewers. Validation checks the work against its definition of done. Each triggers automatically, at the right moment in the lifecycle.
Every issue carries its own AI agent, bound for the life of the ticket. Open the session tab and ask - in plain text or with a screenshot. It explores your codebase, drafts and refines the description, answers questions, and proposes changes you approve before they land. Context persists across runs, so the agent remembers what it learned last time. It's a teammate that lives on the card, not a one-shot prompt.
Every run streams a live event view: codebase exploration, file edits, commands, PR creation. Human checkpoints sit exactly where they belong: approve a spec, review subtasks, request a fix. You steer; the agents execute.
Deep analysis runs continuously, root-causing, scoping, and assessing feasibility while you do other work.
Orchestration coordinates agents so output stays coherent across the whole codebase.
Every status, branch, commit, and PR is tracked in real time.
The execution layer that carries a story from requirement to reviewed PR, autonomously, across the SDLC, with you in control at every checkpoint.
