Getting Humans Out of the Way: How to Work with Teams of Agents

Managing AI coding agents requires a shift toward "managing up," where humans define clear validation processes and constraints rather than performing manual quality assurance. By implementing automated feature walkthroughs with screenshot-based verification and custom linting rules, developers ensure code quality and maintainability without direct intervention. Parallel agent execution, supported by robust automated merge conflict resolution and comprehensive documentation, enables rapid development while minimizing human overhead. The most effective strategy involves identifying bottlenecks—specifically by asking agents what tasks are difficult—and building custom tools or scripts to automate those friction points. This approach transforms the developer's role from writing code to orchestrating systems, where success depends on the ability to identify solvable problems and adapt to the rapidly shifting landscape of AI capabilities.