Warp

Overview

Warp is an open agentic development platform built to automate and orchestrate the entire software development lifecycle (SDLC). It moves beyond traditional CI/CD by providing a production-grade infrastructure layer for running fleets of coding agents across your repositories, from triage and planning through code review, testing, and delivery. Warp is composed of three integrated surfaces: Warp Factories, a software factory system that automates end-to-end workflows; Warp Terminal, an open-source, AI-native terminal designed for agentic coding; and Warp Agent CLI, a powerful coding agent that operates in any terminal environment. Together, these products form a unified platform that lets engineering teams define, deploy, and continuously improve their own AI development force.

At the core of Warp Factories is the concept of “factories as code.” A single factory.yaml file declaratively defines repositories, coding agents, models, permissions, checkpoints, and automation triggers. This configuration is versioned and reviewable, enabling reproducibility and governance at scale. The platform is deliberately model- and harness-agnostic: you can bring any MCP-capable agent (Claude Code, Codex, Cursor, etc.), any frontier or open-weight model, and run it either in Warp’s cloud or within your own VPC. Programmatic access is provided via a REST API, CLI, TypeScript SDK, and an MCP server, making Warp a true platform rather than a vertical product or fixed AI teammate.

Warp bakes in a quality loop with evals, benchmarks, and self-improvement mechanisms. Every agent run is scored against your own engineering tasks, and observer agents can automatically open pull requests against your factory configuration to optimize prompts, models, and workflows. This continuous feedback loop drives measurable improvements in cost, accuracy, and efficiency. The platform also integrates deeply with your existing toolchain — work enters from Slack, Teams, Linear, Jira, GitHub, and GitLab, and status is pushed back to the source. Users can monitor, steer, and hand off runs from web, mobile, terminal, or IDE, ensuring human oversight at any stage.

Warp is designed for enterprises that need security, compliance, and control. It provides centrally managed agent access, permissions, and guardrails, plus data residency options including zero-retention cloud or fully self-hosted deployments inside your own VPC. With no lock-in at any layer, Warp empowers teams to increase automation coverage gradually — from simple workflows like dependency bumps and flaky test triage to more complex refactors and incident response — while maintaining human review and approval gates. Trusted by over 800,000 developers, Warp helps organizations ship faster, reduce cost per PR, and build self-improving AI teammates that accelerate the entire SDLC.

Core capabilities

Factories as Code

Define repositories, agents, models, permissions, and checkpoints in a single declarative factory.yaml file, versioned and reviewable like any config.

Multi-Agent Orchestration

Run fleets of coding agents across the SDLC, coordinated from triage through review to mergeable PRs, with each agent assigned to a specific stage.

Model-Agnostic Architecture

Bring your own model or harness — Claude Code, Codex, Cursor, any MCP-capable agent, and any frontier or open-weight model per pipeline stage.

Full API, CLI, SDK & MCP Support

Built as a platform with REST API, CLI, TypeScript SDK, and MCP server for seamless programmatic integration.

Quality Loop & Self-Improvement

Every run is scored with evals and benchmarks; observer agents open PRs against factory config to auto-tune prompts and catch regressions.

Integrations with Existing Tools

Work flows in from Slack, Teams, Linear, Jira, GitHub, and GitLab, with status pushed back to the source of origin.

Any-Surface Control

Monitor, steer, and hand off agent runs from web, mobile, terminal, or IDE for maximum flexibility.

Enterprise Governance & Security

Centrally managed agent access, permissions, guardrails, plus zero-retention cloud or fully self-hosted VPC deployment options.

No Lock-in at Any Layer

Open architecture that works with any agent, any model, and your own compute or data storage environment.

Use cases

First-pass code review on every pull request to catch issues early

Bug investigation and root-cause analysis with automatic fix routing

Refactors and migrations with scope management, execution, and validation

Incident response by investigating alerts and summarizing next steps

Automating low-risk workflows like dependency bumps and flaky test triage

Building a self-improving AI coding teammate that writes production code

Running model benchmarks on internal tasks to optimize cost and quality