warp-ai

warp-ai

Warp is an open, agentic development platform that automates and orchestrates software development via "factories"—fleets of coding agents—alongside a modern terminal and agent CLI, APIs, and SDKs for enterprise-grade, self-improving developer automation.

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#554 in AI Agents (554 tools)
Just launched
Data reviewed Sep 27, 2026

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Pricing available from Usage-based pricing, billed per agent run

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warp-ai

Warp is an open platform for automating development that coordinates fleets of coding agents (called factories) to automate SDLC tasks from triage through review to mergeable PRs. It includes a modern terminal, an agent CLI, APIs, and SDKs and is built to run anywhere—Warp Cloud or self-hosted in your VPC—and to support any model or agent harness.

Designed for teams and enterprises, Warp emphasizes governance, measurable quality via evals and benchmarks, and self-improvement loops that score and iterate on agent runs. Factories are defined as code (factory.yaml) and integrate with existing tools such as Slack, GitHub, Linear, Jira, and GitLab.

Intelligent terminal with AI, modern UX, and team knowledge integration.

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Key Features

Factories as Code

Define repositories, agents, models, permissions, triggers and checkpoints in a factory.yaml to orchestrate agent fleets across your SDLC.

Agentic Development Platform

Run fleets of coding agents (FOREMAN, REVIEW, etc.) to automate code review, bug investigation, refactors, and other workflows; every run can be scored and improved.

API, CLI, SDK and MCP

Programmatic interfaces include a REST API (example: POST /api/v1/agent/runs), a CLI (warp agent run-cloud), an SDK (TypeScript example), and an MCP messaging protocol for factories.

Warp Terminal & Agent CLI

A modern terminal optimized for agentic coding and a downloadable agent CLI that can run in local terminals (install example provided).

Integrations & Any Surface

Flows can originate from chat, tickets, or source control and be steered from web, mobile, terminal, or IDE with status flowing back to the origin.

Evals, Benchmarks & Self-Improvement

Every run is scored; benchmarks and automated observer agents propose improvements and open PRs against factory config to optimize for cost and quality.

Open Layered Architecture

Supports any agent, any model (frontier or open-weight), your compute or Warp Cloud, and flexible data residency options.

Governance & Control Plane

Centrally configured agent access, permissions, guardrails, and auditability to enable enterprise-ready usage.

Verification & Evidence

Factory agents capture screenshots or videos of work so humans can verify outputs before shipping PRs.

Pricing

Free Tier Available

Qualifying organizations in closed early access receive up to $10,000 of factory usage.

Usage-based

Usage-based pricing, billed per agent run
  • Billed by agent run
  • Benchmarks and evaluative tooling to optimize cost vs. quality

Use Cases

Code review

First-pass review on every PR using review agents to generate changes or suggestions and create mergeable PRs.

Bug investigation

Reproduce bugs, investigate root causes and route fixes via agents connected to your issue trackers and source control.

Refactors & migrations

Scope, migrate, and validate large-scale refactors or migrations by coordinating agent runs across repositories.

Incident response

Investigate alerts, summarize next steps, and propose fixes as part of an automated response workflow.

Industry-specific modernization

Examples include financial services, insurance, and telecommunications for secure, compliant AI development and operational scaling.

Integrations

GitHub / GitLab

Trigger agents from pull requests and send PRs or status updates back to source control.

Slack / Teams

Bring work into factories via chat and receive status or alerts back in chat channels.

Linear / Jira

Route issues and tickets into factories to automate triage and fixes, and then surface results back to issue trackers.

IDEs / Terminals

Steer, watch, and hand off runs from terminal, IDE, or the web UI; Warp Terminal has native factory integrations.

Benefits

Automates parts of the SDLC to increase throughput and consistency across engineering workflows.
Measurable quality and cost optimization through evals, benchmarks, and self-improvement loops (case study shows reduced cost per PR).
Enterprise-ready controls and deployment options (self-hosting in VPC, centrally managed permissions, and guardrails) to meet compliance needs.
No vendor lock-in: supports any agent, choice of models, and either Warp cloud or self-hosted compute.
Integrates with existing developer tooling so teams can adopt incrementally and start with low-risk workflows.

Limitations

Typical initial automation coverage is limited—most organizations start around 20–30% of PRs automated and expand over time.
Early adoption incentives (e.g., $10k usage) are tied to closed early access; wider availability and pricing specifics are usage-based but not fully detailed on the page.

Frequently Asked Questions

What is a cloud software factory?
A factory is a fleet of agents wired to your SDLC—triggered by an issue, a Slack message, or a schedule—and coordinated by Warp Factories from triage through review to a mergeable PR.
How do I define a factory?
As code in a factory.yaml plus supporting agent files: define triggers, agents, models, and approval gates and check it into your repo like any other config.
Do I have to use Warp's models or config?
No. Bring your own model or harness—Warp Factories works with whatever your team prefers and helps identify cost-effective configurations over time.
Do I need Warp Terminal to use factories?
No. Factories is a separate product; work comes in through tools you already use (Slack, Linear, Jira, GitHub, GitLab). Warp Terminal includes built-in factory integrations if you choose to use it.
How much of my SDLC can be automated?
Most orgs start around 20-30% of PRs fully automated with simple tasks and expand coverage over time as models and the factory improve.
Where does our data live?
Wherever you choose—Warp's cloud or fully self-hosted inside your own VPC under your existing retention and compliance rules.
How do humans interact with the factory?
Humans put work into the factory via existing tools (Slack, Teams, Linear, Jira, GitHub, GitLab) and can iterate locally; the factory agents loop humans in when they need help.
Can we start small?
Yes—many teams start with a single low-risk workflow (dependency bumps, flaky test triage) before expanding coverage.
What does it cost?
Pricing is usage-based, priced per agent run; qualifying organizations get $10k of factory usage during closed early access.

Getting Started

  1. 1 Request early access or book a demo via the Warp contact/sales form.
  2. 2 Define your first factory using factory.yaml (repositories, agents, triggers, models, and approvals) and check it into your repo.
  3. 3 Integrate with your existing tools (GitHub, Slack, Jira/Linear, etc.) and choose deployment (Warp Cloud or self-hosted VPC).
  4. 4 Run agents via the CLI, API, or SDK (examples provided on the site) and monitor runs, evals, and self-improvement suggestions.

Support

Docs

Developer docs and API guides referenced in the resources section (site lists "Developers docs, API docs and guides").

Community

Community channels, GitHub repository, blog, webinars, and events for help and connection.

Sales / Demo

Contact sales / book a demo via the contact-sales form on the site for enterprise onboarding.

Support portal / issue tracking

Help and issue tracking referenced under support on the site.

API

Available: Yes

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