Factory vs Cursor: can Factory work well if my team stays in JetBrains and the terminal?

Most teams asking about Factory vs Cursor aren’t really asking about models or UX polish—they’re asking a simpler question: “If my engineers live in JetBrains and the terminal, can Factory actually work with that, or will we be forced into a new editor and workflow?”

The short answer: yes, Factory is built to work natively with JetBrains and the terminal, and it stays there. The longer answer is about what you’re optimizing for:

• If you want AI that behaves like a smart autocomplete inside a single editor, Cursor is strong.
• If you want Droids that you can delegate end-to-end tasks to—across JetBrains, terminals, CI, Slack/Teams, and project trackers—Factory is designed for that multi-surface, multi-tool environment.

Below, I’ll rank each option specifically for “teams that stay in JetBrains and the terminal,” then break down how they differ in day-to-day use.

Quick Answer: The best overall choice for JetBrains + terminal–centric engineering teams is Factory. If your priority is a tightly integrated “AI IDE” experience inside a single editor, Cursor is often a stronger fit. For teams that want a hybrid approach (rich IDE assistance now, future path to multi-surface agents), consider using both in parallel with Factory as the agent system of record.

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At-a-Glance Comparison

Rank	Option	Best For	Primary Strength	Watch Out For
1	Factory	JetBrains + terminal teams that want task-level agents and enterprise controls	Droids that work across IDEs, terminals, CLI, Slack/Teams, and project trackers with strict permissions and audit logs	Not an IDE replacement; you still manage your own JetBrains setup
2	Cursor	Teams willing to standardize on a VS Code–style editor UI for tightly coupled coding assistance	Deep IDE integration, inline suggestions, strong refactor ergonomics in a single app	Pulls you into one editor; less focus on multi-surface workflows and enterprise agent controls
3	Factory + Cursor combo	Orgs that want Cursor for local coding comfort and Factory for cross-surface agents, CI, and analytics	Lets engineers keep Cursor while standardizing on Factory for delegated tasks and governance	Two tools to manage; you need a clear boundary between “copilot in the editor” and “Droid doing the task”

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Comparison Criteria

We evaluated Factory vs Cursor (and the combo pattern) on three criteria that matter if your team stays in JetBrains and the terminal:

• Editor and terminal fit: How well does the tool support JetBrains IDEs and real terminals (macOS, Linux, Windows), without forcing an editor switch?
• Depth of delegated work: Can you delegate complete tasks (refactors, incident response, migrations), or is the tool primarily inline suggestions/autocomplete?
• Enterprise control & scale: How well does it support permissions, audit logging, single-tenant isolation, and organization-wide workflows (CI/CD, incident war rooms, ticket-driven automation)?

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Detailed Breakdown

1. Factory (Best overall for JetBrains + terminal teams that want agents, not just autocomplete)

Factory ranks as the top choice because it gives your JetBrains + terminal–native team Droids that can own end-to-end tasks across your editor, terminal, CLI, Slack/Teams, and project trackers—without forcing an IDE migration.

Factory’s core premise is simple: Droids meet you where you already work.

• “Droids where you code”: JetBrains, VS Code, Vim, and terminals.
• “Droids in the browser”: zero-setup for quick investigations or onboarding.
• “Droids at scale”: CLI for scripted and parallelized work in CI/CD.
• “Droids in the war room”: Slack/Teams for incidents and cross-team collaboration.
• “Droids in your backlog”: triggered from issues and tickets.

If your developers live in JetBrains and the terminal, they stay there. Factory meets them in that environment and wires it into the rest of your surface area.

What it does well

• Native fit for JetBrains and terminals

  Factory is built to run where your engineers already are:

  • JetBrains + other IDEs: Droids sit alongside your editor workflow. You write a short spec, the Droid pulls repo context, proposes edits, and you review diffs before merging.
  • Terminals (macOS / Linux / Windows): A single CLI install (curl -fsSL https://app.factory.ai/cli | sh) gives you:
    • Droids that can explore your repo, run tests, and propose changes.
    • Parallelized runs for large refactors, migrations, and maintenance.
    • The same agent behavior you get in IDE and web surfaces.

  There’s no requirement to move to a new editor. Factory is “interface agnostic” by design.

• Task-level delegation instead of just autocomplete

  Cursor is excellent at “type and get a suggestion.” Factory optimizes for something different: “here is a task; make a plan, gather context, propose changes, and show me the trace.”

  Typical flows in JetBrains + terminal with Factory:

  • Refactors: “Extract this shared validation logic across services.”
    • Droid scans relevant repos, builds a plan, edits code, generates tests, and summarizes changes.
  • Incident response: From Slack or the terminal, a Droid:
    • Pulls logs and metrics, inspects code paths, suggests a patch, and opens a PR.
  • Migrations / upgrades:
    • Use the CLI to script Droids across packages, services, or repos; they apply consistent patterns, generate tests, and surface diffs for review.

  Factory’s agent design emphasizes explicit planning, environment grounding, and fast recovery from tool errors. That’s how it got to #1 on Terminal-Bench and strong SWE-bench results—it’s tuned for real work in terminals and CI, not just for pretty editor demos.

• Enterprise-ready controls and observability

  If your worry is, “We can’t have random LLMs seeing our code,” Factory is built around that constraint:

  • Strict permissions enforcement: Droids only see what the invoking user already has access to in source systems (repos, tickets, docs).
  • Single-tenant isolation: You can run Factory in a sandboxed single-tenant environment with its own VPC, so your code and logs don’t mix with other customers.
  • Audit logging: Every action is logged and can be exported to your SIEM. You get traceability from ticket to code change.
  • Compliance posture: SOC 2, GDPR/CCPA alignment, early ISO 42001 adoption, and a clear stance of not using your code as training data without prior written consent.

  On top of that, Factory Analytics ties AI usage to real outputs:

  • Files created/edited
  • Commits and PRs
  • Org-level signals like the “autonomy ratio”

  You can export via OpenTelemetry or use hosted dashboards. No token charts—actual engineering outputs.

• Works across surfaces, not just in the editor

  For JetBrains + terminal teams, this matters once you want AI beyond “faster typing”:

  • Slack/Teams: Droids join incident channels, triage alerts, and link investigations to PRs.
  • Project trackers: A new ticket can trigger a Droid run that:
    • Gathers context (related code, historical decisions),
    • Proposes an implementation plan,
    • Drafts code changes and tests.
  • CI/CD & maintenance: Run Droids in batch for:
    • Automated code review.
    • Framework/library upgrades.
    • Large-scale mechanical changes.

  Cursor’s value is mostly inside the editor episode. Factory’s value extends from the ticket to the terminal to the PR and the incident review.

Tradeoffs & Limitations

• Not an IDE replacement or all-in-one editor

  Factory doesn’t ship its own IDE. You’re still choosing and managing JetBrains (or other editors) yourself. If what you want is a vertically integrated “AI-first IDE” experience with aggressive inline UX control, Cursor will feel tighter at that single surface.

• More to configure at org scale

  Because Factory is an agent platform, there’s more to think about: permissions, audit logging, SSO/SAML/SCIM, model routing, and Analytics. For teams that just want a quick personal assistant in their editor, this can feel like overhead—though it’s exactly what larger orgs need for governance.

Decision Trigger

Choose Factory if you want agents that work with your JetBrains and terminal workflow but are not limited to them—Droids you can delegate real tasks to, with strict permissions, audit trails, and measurable outputs across IDE, terminal, CLI, Slack/Teams, and CI/CD.

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2. Cursor (Best for teams willing to standardize on an AI-first editor)

Cursor is the strongest fit when your top priority is “best-in-class AI experience inside a single editor” and you’re comfortable having your team work out of a VS Code–style environment instead of pure JetBrains.

Cursor’s strength is its tight coupling between the editor and AI: inline suggestions, refactor actions, and chat that deeply understands the current buffer.

What it does well

• Deep in-editor ergonomics

  Cursor focuses on the “flow state inside the editor”:

  • Inline autocomplete tuned for code.
  • Quick-fix and refactor commands.
  • Context-aware chat about the open file or selection.

  If your main pain is “typing and refactoring feels slow,” Cursor will move that needle quickly, especially for individual developers.

• Low friction for individual adoption

  It’s easy for one engineer to try Cursor and get value without much org-level setup. There’s less to configure around permissions and audit because the mental model is “this is my editor” rather than “this is our org-wide agent system.”

Tradeoffs & Limitations

• Not built around JetBrains and bare terminals

  Cursor is its own editor. If your organization standardizes on JetBrains and expects engineers to use native terminals heavily, you’re introducing a second primary tool:

  • Some engineers will stay in JetBrains; others will switch.
  • Terminal-heavy workflows (incident response, complex scripts, infra ops) aren’t where Cursor focuses.

  You can connect terminals or shells inside the editor, but that’s different from a battle-tested agent in a raw macOS/Linux/Windows terminal working alongside your standard tooling and CI/CD.

• Less emphasis on cross-surface agents and enterprise controls

  Cursor is optimized for coding velocity in the editor, not for organization-wide processes:

  • No concept of “Droids in the war room” responding to incidents in Slack/Teams.
  • Limited story around single-tenant VPC isolation and SIEM-integrated audit logs.
  • No native equivalent of Factory Analytics that ties tasks to PRs, commits, and autonomy ratio across tools.

  For startups or small teams, that tradeoff is fine. For larger engineering orgs or regulated environments, you’ll eventually need a platform that treats agents as part of your production system, not just your editor.

Decision Trigger

Choose Cursor if your organization is comfortable standardizing around an AI-first editor and you’re optimizing primarily for individual developer ergonomics in the IDE, not for cross-surface agent workflows, enterprise isolation, or war-room use cases.

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3. Factory + Cursor combo (Best for hybrid orgs that want Cursor comfort plus Factory-scale agents)

The Factory + Cursor combo stands out when you don’t want to force a migration decision on day one:

• Some engineers love Cursor and want it to stay.
• Your org still needs a central agent platform with Droids, CI/CD automation, Analytics, and enterprise controls.

In this pattern, Cursor acts as the local copilot, and Factory acts as the agent system of record.

What it does well

• Protects individual preference while standardizing on agents

  You can:

  • Let engineers use Cursor for inline editing comfort.
  • Use Factory for:
    • Cross-repo refactors.
    • Incident response from Slack/Teams.
    • Ticket-triggered work from project trackers.
    • Large-scale maintenance and migrations via CLI.

  JetBrains and terminal-first engineers can live entirely in Factory surfaces (IDE integration + CLI), while Cursor-heavy engineers still benefit from Droids via web, Slack/Teams, and CI, without losing their editor.

• Clear escape hatch to org-wide automation

  As your engineering org matures its AI adoption, you’ll likely want:

  • Automated review pipelines.
  • Incident runbooks with Droids in the war room.
  • Organization-wide analytics and audit logging.

  Having Factory in place gives you that path without ripping out Cursor from early adopters.

Tradeoffs & Limitations

• Two tools means more coordination

  Running Cursor and Factory in parallel requires some explicit boundaries:

  • When do we rely on Cursor vs. a Factory Droid?
  • How do we ensure PRs and incident fixes go through the right review and audit path?
  • How do we avoid duplicate spend on tasks both tools could attempt?

  This is manageable with good internal guidelines (“Cursor for micro-edits and local flow, Factory for ticketed tasks and production-impacting changes”), but it’s overhead compared to choosing a single center of gravity.

Decision Trigger

Choose the Factory + Cursor combo if you want to keep Cursor’s editor experience for some engineers while adopting Factory as your standard agent platform for JetBrains/terminal workflows, incident handling in Slack/Teams, CI/CD automation, and organization-level analytics and governance.

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Final Verdict

For the specific question—“Can Factory work well if my team stays in JetBrains and the terminal?”—the answer is yes, and that’s where it’s strongest.

• Factory is engineered around Droids where you code (JetBrains, VS Code, Vim, terminals), Droids in the browser, Droids in the war room (Slack/Teams), and Droids at scale in CI/CD.
• It treats agent design—planning, environment grounding, minimal tool schemas, robust error recovery—as the decisive factor in performance, not just which model is behind the curtain.
• For enterprises, it adds strict permissions enforcement, single-tenant VPC isolation, exportable audit logs, and Analytics tied to PRs and commits, not just token usage.

If your north star is keeping engineers in JetBrains and the terminal while giving them a way to delegate real tasks—refactors, incident investigations, migrations—without compromising security or workflow continuity, Factory should be your primary platform. Cursor remains a strong choice if your main goal is an AI-first editor. The hybrid path is viable if you’re ready to manage two tools with clear separation of responsibilities.

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