Terraform for agents: how we define our software factory in code

Warp Factories presents a configuration-as-code approach for deploying and managing AI software factories, using a central factory.yaml file and related directories to define agent orchestration, model choices, repository access, secrets, MCP servers, integrations, cloud runners, automations, skills, webhooks, scoring, and benchmarks. Each factory includes a Foreman routing agent and specialized agents for triage, implementation, code review, and design, with per-agent permissions and isolated cloud environments that can be tailored to tasks such as macOS-based Swift compilation. Automations connect agents to external triggers including GitHub events, schedules, and verified webhooks, while scorers use defined criteria to evaluate agent conversations and outputs for quality and efficiency. A self-improvement feature can analyze failed scored runs and propose configuration or skill changes as reviewable pull requests. Benchmarks replay an organization’s own past agent tasks to compare models or configurations under controlled conditions, helping teams balance performance, cost, and reliability. Warp plans to make this system broadly available through Warp Factories, currently offered in early access.

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