Factory Droid vs Cursor

Factory Droid and Cursor both support work beyond an interactive editor session. As of September 24, 2026, Cursor documents a CLI, headless execution, and cloud agents. A comparison that reduces Cursor to autocomplete, or treats Factory as a replacement editor, starts from the wrong product boundaries.

For enterprise teams, deployment and data boundaries can decide which workflows are possible before editor preferences enter the discussion. Establish where the agent loop, model requests, and telemetry may run, then evaluate the developer experience and review effort inside that boundary.

Compare Factory and Cursor where engineers work

Factory's IDE integrations let Droid run inside an existing editor. In VS Code-family editors, including Cursor, the integration can share active-file context, selections, open files, and diagnostics. Factory also documents integrations for JetBrains and Zed, with different capabilities. The JetBrains integration does not automatically provide the same open-file and diagnostic context as the VS Code extension.

That makes editor choice a separate decision from agent choice. A team can keep its editor and evaluate Droid in that environment. Using Cursor as an editor does not, by itself, mean every task must use Cursor's agent.

Cursor's CLI supports interactive terminal work and non-interactive print mode. Its headless guide explicitly covers automation and CI/CD. Test terminal access and scripting in both products when evaluating an automated workflow.

For Factory, Droid Exec provides a non-interactive task runner with structured output options and explicit autonomy controls. The default execution mode is read-only. A useful pilot should check the actual invocation, authentication, output handling, and permissions your CI job needs. A screenshot of an editor completing a task does not answer those operational questions.

Compare enterprise deployment and data boundaries

Cursor's cloud-agent capabilities include desktop and browser control. Agents can start a development server and interact with the software they build.

For remote execution, verify that the environment can reproduce your dependency installation and provide the required services and test data. Record which credentials are available and what they can reach. Read Cursor's cloud security and network documentation for the selected configuration instead of assuming that local and cloud sessions have the same boundary.

Cursor also documents self-hosted team pools. Workers execute tool calls on infrastructure the team manages, while the agent loop remains in Cursor's cloud. Separate the location of command execution from the location of the agent loop when checking a private-network requirement.

Factory's deployment documentation describes cloud-managed, hybrid, and fully air-gapped patterns. In the air-gapped pattern, Droid, model endpoints, and telemetry collectors run inside an isolated network, with no Factory cloud dependency at runtime. Binaries and configuration arrive through offline processes.

That architecture gives Factory a concrete advantage when the requirement is no outbound runtime connectivity, compared with Cursor's documented self-hosted pools that retain a cloud agent loop. It does not mean every Factory deployment is air-gapped. Confirm the selected deployment, available models, and operating responsibilities with your infrastructure team.

Check privacy commitments and administrative controls

Cursor's enterprise page states that code is not used for training when Privacy Mode is enabled organization-wide, and that Cursor maintains zero-data-retention agreements with model providers. It also documents enforced SSO and SCIM provisioning. These are meaningful enterprise controls that a comparison should acknowledge.

Training use, provider retention, and network isolation address different requirements. A no-training commitment does not establish that prompts stay inside your network. Review which systems process prompts, code context, session records, and telemetry, along with their retention terms.

Factory's privacy documentation ties the data boundary to the deployment, model endpoints, and gateways you configure. Custom gateways and self-hosted models bring their own privacy responsibilities. Validate those systems and their contracts rather than treating a Factory installation as a blanket zero-retention guarantee.

For centrally managed fleets, Factory's Enterprise Controls distinguish enforced limits from user preferences. Organization model allowlists and maximum autonomy levels constrain lower-level choices. A system-managed settings file can apply policy before a user signs in, including on restricted-network and air-gapped machines.

Test the controls that matter to the rollout. Try a disallowed model, a user setting above the autonomy limit, and a newly provisioned machine. Require evidence of enforcement instead of awarding a vendor an enterprise advantage merely because its feature list includes administration.

Check project instructions with a real change

Cursor's rules documentation supports project, team, and user rules, alongside AGENTS.md in the root and subdirectories. Factory's AGENTS.md documentation describes project guidance, nested discovery, and personal defaults.

Shared filenames do not establish identical discovery or precedence behavior. Test a root instruction and a narrower package instruction in the directories your team actually uses. Ask each agent to identify the applicable rules before editing, then inspect whether the result follows them.

Choose a rule with a visible outcome. For example, a generated client must be regenerated from its schema rather than edited by hand. Another rule could require the focused package test before the full repository gate. Check the diff and command log, not just the agent's statement that it followed the instructions.

Compare accepted work, including the review

Give both products the same repository revision, task description, acceptance tests, and access boundary. Start from separate clean worktrees or disposable environments so one run cannot inherit the other's edits. Record the selected model, product version, and relevant settings.

A practical comparison can use a reproducible bug, a small feature, and a maintenance change drawn from the team's own backlog. Record whether each result passes the acceptance checks, how much human correction it needs, and how long review takes. Keep setup failures visible because they are part of the workflow a team would have to operate.

Do not turn subscription price into a claimed cost per successful task. Capture the usage charges, execution costs, and reviewer time that the pilot actually incurs. Include unsuccessful attempts. Product documentation alone cannot establish a performance or cost winner.

Choose the workflow you can verify

If keeping an existing editor and its workflows matters, test Droid's integration in that editor, including the context it can and cannot receive. If remote desktop or browser work matters, test Cursor's documented cloud-agent environment against a representative task. For an isolated enterprise environment, start with Factory's air-gapped deployment and verify its operating requirements before comparing convenience features.

For each candidate, finish the pilot with a reviewed patch, the checks that ran, remaining defects, and a clear account of human intervention. That gives the team something it can evaluate independently of either vendor's description.

Keep the result scoped to the tasks and configurations tested. A tool that performs well on a local bug fix has not automatically demonstrated that it fits an unattended, privileged workflow.

Further reading

• Factory and Claude Code: compare completed work
• Coding agent task specifications that work
• Cursor cloud agents