Software Factories

What's the better platform for software factories: Warp or Cursor Cloud Agents?

What's the better platform for software factories: Warp or Cursor Cloud Agents?

Cursor Cloud Agents run coding tasks on isolated cloud VMs — kicked off from the IDE, Slack, GitHub, Linear, or a phone — and Cursor says more than 40% of its own team's pull requests now come from them. That's a strong autonomous coding agent, not a software factory. Warp Factories sits a layer above: a control plane that routes work through triage, spec, implementation, and review agents, and can call a Cursor-style cloud agent as one harness option rather than being the entire workflow.

What Cursor Cloud Agents are

Each Cursor Cloud Agent, what Cursor used to call a background agent, gets a dedicated VM with a cloned repo, dependencies, secrets, and network access, so it can write code, run tests, and open a pull request without a laptop staying open (Cursor's Cloud Agents documentation). They support MCP servers, repo-committed hooks, computer use, and artifacts — screenshots, videos, and logs attached to the pull request (Cloud agent capabilities).

Cursor Automations layer scheduled and event-triggered runs on top, and Cursor reports Cloud Agents already produce more than 40% of its own pull requests (Setting Up Cloud Agents). Cursor's own docs are candid about the tradeoff: enabling "team follow-ups" — letting a teammate message an agent running under someone else's secrets — creates a lateral-movement risk Cursor tells admins to treat "with the same care you would give shared SSH keys" (Cloud Agents settings). That's a sign the product is built around one shared agent pool, not per-stage governance.

Where Cursor's workflow stops

Cloud Agents are excellent at "write code and prove it works." What's missing is the SDLC framing around that step: a triage stage that decides whether a request needs code at all, a spec stage where a human signs off on scope before implementation starts, and a review agent whose findings are tracked and scored over time. Automations can trigger an agent on an event, but it's still the same coding agent running — not a specialist triage or review agent with its own permissions and instructions.

Cursor Cloud Agents vs. Warp Factories

CapabilityCursor Cloud AgentsWarp Factories
Core unit of workOne coding agent per VMSpecialist agent per SDLC stage
ModelsCurated selection Cursor supportsAny model, including open-weight models
HarnessesCursor's own agent onlyWarp Agent, Claude Code, Codex, or Cursor-style agents
VerificationComputer use, artifacts, remote desktop controlComputer use across every relevant stage
GovernanceTeam-shared secrets; follow-ups are an admin togglePer-agent scoped secrets and MCPs, defined as code
Workflow definitionPer environment or DockerfileVersion-controlled: repos, agents, skills, MCPs
Self-improvementPer-agent memories of past runsFactory-wide scorers and self-improvement loop

What most teams get wrong

They treat governance as a product setting. Teams getting real value from Cloud Agents often conclude the fix for "we need more governance" is a Cursor Enterprise setting — a network allowlist, a follow-up toggle, a resource limit bump. Those help, but they don't produce a triage stage that decides what's worth an agent's time, or a review stage with an accountable findings history. That's a coordination problem, not an agent-configuration one.

How Warp fits

Warp Factories treats the software factory as infrastructure: teams define repos, agents, skills, and MCPs as version-controlled code, and each pipeline stage can run on whatever model or harness suits it — Warp's own agent, Claude Code, Codex, or a Cursor-style cloud agent for implementation specifically (docs.warp.dev/factories).

Warp's own team automates 20-30% of its pull requests through factories today, a first-party sign the goal is a growing share of governed automation, not one agent doing everything (Warp, "A guide to cloud software factories for engineering leaders"). Cursor's 40%-plus figure measures one agent's adoption; Warp Factories measures a pipeline's throughput, cost, and quality across every stage a request passes through.

Start with one workflow

If a team already relies on Cursor Cloud Agents for implementation, that doesn't need to change — Warp Factories doesn't ask anyone to replace a coding agent that's working. Wrap it in one bounded workflow with a triage step and a review step around it, so requests get scoped and checked before and after the agent writes code. Warp Factories is available in closed beta at warp.dev/factories.

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