
Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows. Warp (opens in a new window) started as a modern terminal, earning early love from developers for its speed, collaboration features, command workflows, and AI-native interface. As coding agents moved from experiments to everyday engineering workflows, Warp saw the terminal becoming a natural place for developers to work with agents: where commands, context, collaboration, and review already meet. For Warp’s open-source workflows, GPT‑5.5 helps agents reason across larger problem spaces and prepare work for human review.
Warp (opens in a new window) started as a modern terminal, earning early love from developers for its speed, collaboration features, command workflows, and AI-native interface. As coding agents moved from experiments to everyday engineering workflows, Warp saw the terminal becoming a natural place for developers to work with agents: where commands, context, collaboration, and review already meet.
When Warp open-sourced (opens in a new window) its terminal client this year, with OpenAI as the founding sponsor of the repo, the company also introduced Open Agentic Development: a model for building software in the open. Humans define objectives and supervise outcomes, while agents plan work, write code, test changes, and open pull requests.
Recent improvements in frontier AI models helped make that kind of agent orchestration practical at scale. For Warp’s open-source workflows, GPT‑5.5 helps agents reason across larger problem spaces and prepare work for human review. In internal benchmarks, GPT‑5.5 used 30% fewer tokens per agentic coding task than GPT‑5.4, helping Warp improve efficiency as it scales long-running agent workflows.
Oz (opens in a new window) acts as a control plane for deploying and coordinating agents across local and cloud environments. Developers can launch agents through a web interface, select predefined skills and environments, choose the model and hosting configurations, and monitor long-running workflows centrally as they execute.
The underlying workflows around agentic development are still early and highly experimental. By open sourcing its terminal client and building in public with Open Agentic Development workflows, Warp hopes developers can help shape how orchestration, supervision, and verification systems evolve as agents become more autonomous over time.
Today, Warp has nearly 1 million developers and is used by more than 56% of the Fortune 500. In Warp’s own engineering organization, agents now co-create around 90% of the company’s pull requests, giving the team a firsthand view into what long-running agent workflows need to scale: observability, coordination, memory, and human review.
Open Agentic Development is Warp’s bet on where software development is heading. Agents will write code, and developers will specify intent, verify the outputs, and decide what ultimately ships. Those choices become reusable context for future agents, allowing the system to improve over time.
If the orchestration is good enough, Warp believes agents can produce more consistent code than a loosely coordinated group of humans. Open source then becomes less about humans contributing implementation work directly, and more about contributing the product judgment and shared vision that only humans can provide.
Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows Reported by OpenAI on May 27, 2026.