Runbooks, a new product from Aviator, addresses the challenges large engineering organizations face in maintaining shared context, capturing intent, and versioning AI-generated changes by introducing spec-driven development for AI coding projects. It enables teams to author versioned, executable specifications that facilitate collaboration and audit trails, allowing AI agents to run, review, and improve code safely. Runbooks promote structured collaboration through shared libraries of executable specifications, which capture repository states, PR feedback, and code changes, creating a living knowledge base. This approach supports version control, safe delegation, and the evolution of AI prompting knowledge, turning AI coding from individual efforts into team-wide engineering projects. The platform integrates with existing developer tools and can function in both isolated sandboxes and managed cloud environments, allowing teams to switch to multiplayer mode, collaborate on prompts, share execution workflows, and maintain audit trails, while human reviewers provide feedback through platforms like GitHub, ensuring a continuous evolution of spec-driven AI coding practices.