Moving From Prompting to Agent Loops

The author explores the operational shift from manually prompting AI coding agents to running automated agent loops where an LLM repeatedly processes queued tasks. By structuring tickets with clear definitions of done, executing them in isolated work trees with dedicated infrastructure, and implementing automated testing and multi-model reviews, teams can scale unattended development. The author argues that this approach frees engineers and product teams to focus on customer collaboration and defining what to build. Open article →