ralph-loop

You can automate iterative code generation by running an autonomous development loop that repeatedly invokes an AI agent with fresh context. It manages task state and progress through file I/O, refining its approach until the task is complete or iteration limits are reached.

An autonomous AI agent maintains context by persisting task state, progress, and evidence through file I/O within a dedicated directory. Each iteration invokes the AI with fresh context, relying on these files to learn from previous attempts and ensure consistency.

Yes, you can configure iteration limits, attempt tracking, and timeout settings to manage unattended task automation. This ensures the iterative loop terminates safely after a defined number of attempts or a specific duration.

The best way to build multi-step features is using an iterative development loop. The AI breaks the problem down into manageable cycles, refining code and verifying tests pass during each iteration until the feature is finished.

You run an autonomous development loop by executing an external bash script that repeatedly invokes the AI agent. The script orchestrates the loop, managing task state and file I/O to track progress across each iteration automatically.