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.

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.