iterate

Automate retry loops by defining success criteria and letting the system run deterministic retries until the build succeeds or a timeout occurs. It tracks per-attempt state and logs learnings to drive persistent problem-solving without human intervention.

Autonomous iteration is a self-referential process that refines solutions through repeated trials. It maintains per-attempt state and logs outcomes, allowing systems to persistently apply trial-and-error until complex, uncertain tasks meet defined success criteria.

Track iteration state across debugging attempts using Start, Status, Record Attempt, and Complete commands. This maintains a deterministic retry loop that stores goals, logs outcomes, and provides clear progress tracking for each trial.

You need automated goal-management when tasks require persistent effort, multiple attempts, or trial-and-error refinement. It suits uncertain scenarios like debugging flaky integrations where systems must refine solutions iteratively until success criteria are met.

Yes, deterministic retry loops persist until all success criteria are met or a maximum number of attempts is reached. This prevents infinite loops while allowing the system to refine solutions through repeated trials autonomously.