Open infrastructure for cloud software factories

build on Warp: factories as code, any model or harness, with evals, benchmarks, and self-improvement built in.

request early accessdownload warp terminal

get up to $10,000 in free factory usage

>_[ fig. 1 — the factory ]⌗
livefactory.yaml
factory.yamlapplied to all 112 agents
# factory.yaml
schemaVersion: v1alpha1
name: acme-web
repositories:
  - owner: acme
    name: web
mcpServers:
  github:
    warpId: mcp_github
agentDefaults:
  model: claude-5-fable-high
trusted by 800k+ devs at
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SDLC coverage

Beyond CI/CD to automating the whole SDLC

defined in code, built for scale, and easy to deploy.

>_[ fig. 2 · quickstart ]⌗
>_[ fig. 2 · factory.yaml ]⌗
# factory.yaml — factories as code
schemaVersion: v1alpha1
name: pr-review
repositories:
  - owner: acme
    name: web
agentDefaults:
  model: claude-5-fable-high

# agents/foreman/agent.md
agentType: FOREMAN

# agents/review/agent.md
agentType: REVIEW
model: glm-5.2-fireworks

# automations/on-pr/automation.md
agent: review
triggers:
  - provider: github
    event: pull_request_ready
>_[ fig. 2 · API / CLI / SDK / MCP ]⌗
# cli
$ warp agent run-cloud --environment ENV_ID \
    --prompt "fix LIN-482, low risk only"

# api
$ curl -X POST https://app.warp.dev/api/v1/agent/runs \
    -H "Authorization: Bearer $WARP_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{ "prompt": "fix LIN-482" }'
{ "run_id": "run_4026", "state": "QUEUED" }

# sdk (typescript)
const run = await client.agent.run({ prompt: 'fix LIN-482' });
console.log(run.run_id);

# mcp · warp-factory server
{ "tool": "send_task", "factory_uid": "fct_acme_web",
  "title": "Fix LIN-482", "note": "low risk only" }
>_[ fig. 2 · integrations ]⌗
>_[ fig. 2 · any surface ]⌗
>_[ fig. 2 · self-improvement ]⌗
quality loop

Baked-in measurement and self-improvement

evals, benchmarks, and self-improvement loops drive measurable gains.

>_[ fig. 4 · quality loop · sample run ]⌗

evals on your own work

pass96% 
100%50%0%apr 01may 01jun 01jul 01
8/13 07:03fail0.4$0.39
8/13 07:02pass0.8$0.53
8/13 07:02pass0.8$0.46

benchmarks across models

best1.00x 
1.0x0.5x0xapr 01may 01jun 01jul 01
Claude Fable 5pass1.00x$0.53
GPT-5.6 Solpass0.94x$0.41
Gemini 3.6 Flashfail0.89x$0.32

self-improvement loops

auto-fix+3.7 
+4+20apr 01may 01jun 01jul 01
memory updatedpass+0.2#4021
prompts tunedpass+3.2%#4022
regression caughtfail-0.4#4023
30%+
automation coverage
PRs merged, zero edits
200k/day
agent runs
across all factories
-20%
cost per pr
measured over time

Warp is enterprise ready

Run agents confidently with guardrails in place, centrally configured agent access, and centrally managed permissions.

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Rectangle Health uses Warp to build a self-improving AI teammate

Rectangle Health turned a senior engineer's side project into Rex, a self-improving AI teammate built on Oz that now writes 54% of its own code.

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Docker uses Warp to reduce onboarding time and give every engineer a shared source of truth

Docker adopted Warp for a more user-friendly terminal experience, using Warp Drive to streamline repetitive workflows and boost team productivity.

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no lock-in

Open at every layer

>_[ fig. 3 · open at every layer ]⌗
layer 01

Any agent

warpclaude codecodexcursor

any MCP-capable coding agent.

layer 02

Any model

frontieropen-weight

frontier or open-weight, chosen per pipeline stage.

layer 03

Your compute or ours

warp cloudself-hosted

warp's cloud, or self-hosted in your own VPC.

layer 04

Data lives where you want

pluggablezero-retentionyour VPC

you own and store what your factory produces.

governance

Control your coding agent chaos

continuous improvement, better governance and security, by default.

>_[ fig. 5 · control plane ]⌗

increase agent roi · cost per pr

$—
computeplatforminference

one control plane for every agent

resolve merge conflicts on server pr 14090fable 5orchestrationfnow
refactor auth middleware for session reuseopus 4.8claude codez14m
investigate child process kill issuefable 5slackj37m
investigate usize panic in offset codegpt-5.6 solslackf1h
fix desktop tab crashgemini 3.6slackj2h
add rate limiting to public api endpointsgpt-5.3codexe4h

agents prove their work with computer use

every factory agent captures a screenshot or video so you can verify its work before shipping a PR.

Activations dropped on the contact sales page this week. Can you investigate and fix the culprit?

On it — opening the browser to test the flow myself...

warp.dev/contact-sales
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Enter your work email and answer one question — we'll get you to the right person on our team.

Book a demoWork Email*you@company.comCONTINUE

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Found it — the testimonials section was hidden by collapsing divs. Patched, PR #436 is up for review.

Use Warp everywhere

Warp is an open agentic development platform that was built to work wherever and however you work.

Warp Factories product image, recomposed on a factories-neutral panel

Factories

A software factory that automates and orchestrates software development.

request access
Warp Terminal product image, recomposed on a factories-neutral panel

Terminal

An open-source terminal built for AI-assisted software development.

Download Warp
Warp Agent CLI product image, recomposed on a factories-neutral panel

Agent CLI

A powerful coding agent that works in any terminal.

$
curl -fsSL https://app.warp.dev/download/agent-cli | bash

Frequently asked questions

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.

as code, in a factory.yaml + supporting agent files. define triggers, agents, models, and approval gates — check it into your repo like any other config.

no. bring your own model or harness (e.g. claude code or codex) — warp factories works with whatever your team prefers and helps identify the most cost-effective configuration over time.

most orgs start around 20-30% of PRs fully automated, starting with simple tasks. over time this goes up as models improve and your factory self-improves.

wherever you choose — warp's cloud, or fully self-hosted inside your own VPC, under your existing retention and compliance rules.

humans put work into the factory via your existing tools like slack, teams, linear, jira, github and gitlab. at any time you can iterate on that work locally and the factory agents loop you in proactively when they need help.

yes — most teams start with a single low-risk workflow, like dependency bumps or flaky test triage, before expanding coverage.

usage-based, priced per agent run. qualifying orgs get $10k of factory usage during closed early access.