
Warp
AI-first terminal.
About Warp
Picture this: a Sentry alert fires, someone on your team types @web-factory in Slack, and a coding agent picks up the job. It checks out the right repo, pulls context through a shared Sentry MCP server, investigates the issue and opens a PR, while the team keeps working in Slack and Linear. That's the workflow Warp is built around now. The company that started as a modern terminal is pitching itself as "open infrastructure for cloud software factories," with fleets of coding agents handling code review, bug investigation, refactors and incident response across your SDLC.
The interesting part is how it's configured. Warp calls it factories-as-code: a factory.yaml file plus folders for agents, automations, runners, skills, webhooks, scorers and benchmarks. You declare which repositories agents can touch, which secrets they get (encrypted at rest and injected as environment variables only during runs), which MCP servers they share, and which cloud roles they can assume through federated AWS or GCP access instead of long-lived keys. Agent defaults set the model, runner and environment, and specialized agents can override them. Because it's all versioned files, you can measure and tune cost and performance the same way you'd tune any other code, and Warp says evals, benchmarks and self-improvement are built in.
If you just want a better shell, the Warp Terminal and Warp Agent CLI are still here, and Warp claims 800k+ developers use its products. But the homepage makes clear the bet is on teams running many agents in parallel, not one person chatting with one assistant. The listing shows a free tier with paid plans from $20/mo. The catch: the schema is labeled v1alpha1, and the scraped material is heavy on concept and light on hard limits, so expect to learn the details after signup.
Key features
Factories-as-code
You define your whole agent setup in a versioned factory.yaml with folders for agents, automations, runners, skills, webhooks, scorers and benchmarks, so changes get reviewed like any other code.
Slack, Linear and Jira routing
Each factory gets an alias that works as the Foreman's @-mention handle in Slack and Linear, and Jira is supported for task tracking, so work gets assigned where your team already talks.
Shared MCP servers
Every agent in a factory can connect to centrally managed MCP servers, such as Sentry or your internal services, instead of each agent being wired up separately.
Scoped secrets and federated cloud access
Secrets are encrypted at rest and injected only during runs, and agents can assume an AWS role or use a GCP identity without long-lived cloud keys living in the definition.
Model choice per agent
Agent defaults set the model, runner and environment for the whole factory, while specialized agents can override those choices, with an "auto" model option available.
Warp Terminal and Agent CLI
Alongside factories, Warp ships a modern terminal designed for agentic coding and an Agent CLI that runs in any terminal, so you aren't forced into the fleet product to get value.
Best for
- engineering teams wanting first-pass AI review on every PR
- platform teams running agents on bug triage and incident response
- orgs already living in Slack, Linear or Jira
- teams on AWS or GCP that want agents without long-lived keys
- developers who want an agent-friendly terminal for free
Skip if
- Skip it if you want a stable, settled config format. The factory schema is still v1alpha1.
- Skip it if you only want inline autocomplete in your editor. Warp's focus is the terminal and background agent fleets, not an IDE.
- Skip it if your cloud isn't AWS or GCP. Those are the only providers the source shows for federated access.
Pros & cons
Pros
- Factories-as-code means agent setups are versioned, reviewable and measurable, not hidden in a dashboard.
- The Slack and Linear @-mention alias is a smart touch: work gets routed to agents in the tools you already use.
- Secrets handling is thoughtful, with encryption at rest and injection only during runs.
- Federated AWS and GCP access avoids storing long-lived cloud keys in config.
- There's a free entry point, and the terminal is useful on its own even if you never build a factory.
Cons
- The factory schema is labeled v1alpha1, so expect breaking changes to your YAML.
- The scraped pricing page doesn't list tier limits, so beyond the $20/mo starting price you'll need to sign up or book a demo to see what's included.
- Three products (Factories, Terminal, Agent CLI) under one brand make it unclear which one you actually need at first.
- Lots of concepts to learn up front: agents, automations, runners, skills, scorers and benchmarks before your first factory runs.
Pricing
| Tier | Price | Includes |
|---|---|---|
| Free | $0 | Free entry tier per the listing. Specific limits aren't shown in the scraped pricing text. |
| Paid | From $20/mo | Starting paid plan per the listing. Detailed inclusions weren't captured in the source text. |
| Enterprise | Contact sales | Secure, compliant agentic development for your org, available through Warp's book-a-demo flow. |
Frequently asked questions
How much does Warp cost?
Warp is freemium, with paid plans starting at $20/mo. Enterprise options for secure, compliant agentic development go through a demo with the Warp team.
Is Warp still just a terminal?
No. The Warp Terminal still exists, but the company now leads with Warp Factories, which run fleets of coding agents across code review, bug investigation, refactors and incident response.
Which tools does Warp integrate with?
The factory config supports Slack, Linear and Jira as work sources, MCP servers such as Sentry, and AWS or GCP for cloud access. Agents can be routed work by @-mentioning the factory alias in Slack or Linear.
How is Warp different from Claude Code or Cursor?
Claude Code and Cursor center on one developer working with one agent, while Warp Factories are designed to run many agents in parallel with versioned config, scorers and benchmarks. Warp also lets you pick the model per agent rather than locking you to one provider.
How many people use Warp?
Warp's homepage says it's trusted by 800k+ developers. That number likely reflects the terminal's long-running user base more than the newer Factories product.
How Warp compares
Warp vs Claude Code
Claude Code is the simpler pick for a single developer driving an agent from the terminal, while Warp makes more sense once you want many agents with shared config, secrets and benchmarks.
Warp vs Cursor
Cursor wins if you want AI inside your editor, but it isn't built for routing Slack or Linear tickets to a fleet of background agents the way Warp Factories are.
Warp vs GitHub Copilot
Copilot is the default for inline suggestions in your IDE, while Warp is aimed at teams that want agents doing first-pass PR review and incident work on their own.
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