run-with-ralph

Iterative task implementation is automated using a convergence loop that continuously refines the output until specified acceptance criteria are satisfied. This approach manages task claiming, prompt building, and execution to guarantee completion.

An iterative convergence loop is a mechanism that executes development tasks repeatedly, refining the implementation based on spec references until defined acceptance criteria are fully met. This ensures precise adherence to specifications and validated completion.

Task automation can process a backlog of development tasks requiring precise specification adherence by claiming tasks sequentially. It builds prompts with spec references and loops execution until each task's acceptance criteria converge.

To start implementing an openspec task, you initiate the loop command to claim the specific task. The loop then builds prompts with necessary spec references and autonomously executes the iterative development until completion.

The best way to guarantee tasks meet defined acceptance criteria is using automated convergence, which refines the implementation iteratively. It claims tasks, builds prompts, and loops execution until conditions are satisfied.

Automated iterative task implementation should be avoided for tasks lacking clear acceptance criteria or spec references. The convergence loop relies on defined conditions to determine completion, so ambiguous tasks may loop indefinitely without resolving.