The Mayor Method (github.com)

The "Mayor Method," a new AI workflow, has been outlined as an innovative approach to managing complex AI-assisted projects. The method centers around a primary Claude session, dubbed the "mayor," which orchestrates project tasks without executing them, thereby preserving context and enhancing project management. This structure allows for the delegation of actual work to background agents, while the mayor focuses on overseeing the entire process and facilitating decision-making without getting bogged down in individual tasks. The author emphasizes a spec-first discipline, which means spending significant time refining project specifications as opposed to directly coding, thereby ensuring higher-quality outputs from AI models. This approach is significant for the AI/ML community as it introduces a structured way to leverage AI capabilities while avoiding common pitfalls of context loss during coding tasks. By focusing on iteratively improving project specifications, the method encourages clearer communication and effective project management in multi-agent environments. The mayor maintains a project map that tracks in-flight tasks, decisions, and backlogs, serving as a vital navigation tool for both human and AI collaborators. The result is a streamlined workflow that potentially increases productivity and encourages deeper engagement with the nuances of AI project development.