AgentLoop

AgentLoop is a fascinating tool designed to take the manual back-and-forth out of coding tasks. You set a clear goal and define your acceptance criteria, and then AgentLoop takes over. It sends your goal to "fresh Codex workers" (which implies using OpenAI's Codex models), which then attempt to build the solution. What's really clever is the "independent critic" — a separate AI that reviews the worker's output against your defined standards and provides concrete feedback for improvement.

This system creates a continuous loop: plan, build, critique, repeat. Each cycle starts with a clean context for the worker, and the project files themselves act as the memory, carrying the work forward. The critic isn't just looking for passing tests; it's designed to catch subtle defects that automated test suites might miss, ensuring a higher quality output. You can monitor the entire process through a dashboard, seeing every cycle, verdict, and cost.

AgentLoop is perfect for developers, teams, and even solo coders who want to offload repetitive or well-defined coding tasks. Think of it for shipping a new feature, handling a migration, hardening existing code, or polishing a product. It allows you to stay in control by defining the "done" criteria, but frees you from constantly relaying messages between planning and execution, letting you focus on higher-level problems.