Enhancing software development with autonomous AI loops (opens in new tab)
AI loops are emerging as a transformative method for building software by allowing coding agents to work autonomously toward specific goals. These loops require a trigger—such as a manual command, a set schedule, or an action like opening a pull request—to initiate the process without constant human intervention. Success is determined either through verifiable metrics, such as specific page load speeds, or by using the large language model itself as a judge for qualitative tasks like code ref...
Read the original article