The real value of an orchestrator in AI coding lies in its ability to manage complexity at scale. As AI systems grow more sophisticated, the focus is shifting from simply building larger models to enabling smarter coordination among multiple AI agents. Warp has just introduced Oz, a cloud-based coding agent that allows developers to run an unlimited number of AI agents in parallel, dramatically accelerating task completion across large codebases. For years, progress in AI was measured by increases in data volume, model parameters, and computational power. But we’re now entering a new era where performance is increasingly determined not by the size of individual models, but by the ability to orchestrate many agents working together efficiently. This shift is already evident in the strategies of leading AI companies like OpenAI, Anthropic, and MoonshotAI, all of which are investing heavily in agent swarms—networks of specialized AI agents that collaborate to solve complex problems. However, existing tools still present a major limitation: they force developers to choose between raw power and portability. Most local development environments can only handle 3 to 4 agents at once before hitting performance walls due to hardware constraints. This creates bottlenecks, slows down workflows, and limits the potential of AI-driven coding. Oz changes that by moving agent orchestration out of local machines and into the cloud. By offloading execution to scalable cloud infrastructure, Oz removes the hardware ceiling entirely. Developers can now launch hundreds or even thousands of agents simultaneously, each handling a specific part of a larger task—such as refactoring code, detecting bugs, generating tests, or optimizing performance—all at once. This capability transforms how developers interact with AI. Instead of running one agent at a time and waiting for results, you can now deploy a coordinated swarm that explores multiple solutions in parallel, learns from each other, and converges on the best outcome faster than ever before. Oz isn’t just about speed—it’s about intelligence in coordination. It intelligently manages agent communication, task distribution, and resource allocation, ensuring that no agent is idle and no task is duplicated. It also maintains context across the entire codebase, so agents can make informed decisions based on the full picture. For teams working on large-scale software projects, this represents a paradigm shift. What once took days of manual debugging or iterative AI prompts can now be resolved in minutes with a single command. The future of coding isn’t just about better models—it’s about better orchestration. With Oz, Warp is delivering the infrastructure to make that future a reality.