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VerdictPal · editorial desk · 2026VerdictPal
Compare · Head-to-head

Pick two cards. See the diff.

Stat bars are editorial heuristics, methodology linked — not a fake benchmark leaderboard. Put two dossiers side by side and see where each one breaks.
CardsModels

Compare · Card A / Card B·Head-to-head

CursorvsFactory

In the Build & code set, Cursor edges ahead overall (editorial fit 81 vs 74). Cursor wins on speed and value for money; Factory wins on source quality. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Cursor · avg
65
wins 8 of 16
Factory · avg
62
wins 2 of 16
Fields differ
9
of 16 dossier rows
Receipts
20
sources + bench notes

Checked 2026-06-07 · Cursor·Checked 2026-06-07 · Factory

Dossier fields

Sixteen fields, side by side.

No.FieldCursorFactory
01Status · Editorial quality gateFlagshipFlagship
02Editorial fit · 0–100 score81 / 10074 / 100
03CategoryBuild & codeBuild & code
04Primary surfaceProsumer SaaSProsumer SaaS
05Modalities
  • Code
  • Text
  • Code
  • Text
06Role in a stackAI-native code editor and agentic refactor workspaceAgent-native delivery surface
07Best for
  • Developers already living in VS Code who want Tab, Chat, and Agent in one editor
  • Repo-wide refactors where multi-file diffs must be reviewed before merge
  • Teams that need SAML/OIDC, centralized billing, usage analytics, team-wide Privacy Mode, and admin controls
  • Students eligible for one free Pro year who can still run tests and read generated code
  • Multi-step refactors, migrations, and repo tasks where Spec Mode planning beats one-shot chat edits
  • Teams wiring Droid Exec, review flows, and background agents into delivery workflows
  • Engineering orgs that need SSO, ZDR/on-prem/data-residency-style controls, auditability, and model flexibility
  • Developers who want agents inside existing terminal/IDE workflows rather than a separate editor-only experience
08Avoid if
  • You cannot enable Privacy Mode or get approval before sending sensitive code to AI providers
  • You need deterministic flat pricing with no usage-based overage exposure
  • You want a headless agent SDK rather than a human-in-the-loop editor
  • You tend to accept green-looking multi-file diffs without running tests
  • You only want lightweight VS Code autocomplete
  • You enable high autonomy or missions on production repos without tests, hooks, command denylists, or sandbox review
  • You assume $20 Pro equals unlimited premium-model agent work
  • Your team cannot review diffs, execution traces, and generated plans before merging
09Capabilities tracked
  • Tab completions
  • inline edits
  • Chat
  • Agent
  • MCPs
  • skills
  • hooks
  • rules
  • cloud agents
  • Bugbot
  • individual usage pools
  • Teams SSO/admin/analytics/privacy mode
  • Enterprise SCIM/audit/access controls/service accounts/AI code tracking API
  • Droid CLI
  • terminal UI
  • desktop app
  • SDK
  • cloud/local background agents
  • Spec Mode
  • missions
  • persistent sessions
  • slash commands
  • skills
  • MCP
  • hooks
  • plugins
  • model flexibility
  • enterprise controls
10Failure modes · Documented, not buried
  • Agent edits can break tests/security despite clean diffs
  • Usage pools and on-demand billing are hard to forecast
  • Privacy Mode off can expose sensitive code context
  • Model/provider routing creates data and cost differences
  • MCP/cloud agents add permission and execution boundaries
  • Students may substitute AI edits for understanding
  • Autonomous runs can burn rate limits or spend
  • Spec plans can miss cross-package contracts
  • Fallback models can regress on subtle refactors
  • Command execution needs sandboxing/tests/approval
  • Enterprise claims need trust-center verification
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Run 10 multi-file refactors and verify typecheck, tests, and security review.
    Pending.
  • Compare Auto/Composer/API usage pools on the same 20 coding tasks.
    Pending.
  • Compare requests with Privacy Mode on/off and review org enforcement.
    Pending.
  • Use one MCP server plus one cloud-agent automation on a sandbox repo.
    Pending.
  • Run a cross-package refactor with tests and compare plan, diff, missed contracts, and rollback path.
    Existing desk test caught a missed barrel export; rerun with current Droid.
  • Run headless lint/test repair against a known failing repo.
    Existing desk run fixed most lint issues; human judgment still required.
  • Compare low/medium/high autonomy on a repo with command denylists and hooks.
    Pending.
  • Verify ZDR/on-prem/data residency/audit/SOC2 controls against trust-center artifacts.
    Pending.
14Alternatives tracked
  • GitHub Copilot
  • Windsurf
  • Cline
  • Zed
  • Factory
  • Cursor
  • Claude Code
  • Devin
  • GitHub Copilot
  • Windsurf
15Pricing checked2026-06-072026-06-07
16Last verified2026-06-072026-06-07
16 metrics

Sixteen numbers, one shared midline.

CursorvsFactory

In the Build & code set, Cursor edges ahead overall (editorial fit 81 vs 74). Cursor wins on speed and value for money; Factory wins on source quality. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

  1. Editorial fit
    Cursor81Factory74
  2. Source quality
    Cursor60Factory76
  3. Citation honesty
    Cursor58Factory58
  4. Privacy controls
    Cursor40Factory40
  5. Value for money
    Cursor72Factory68
  6. Speed
    Cursor50Factory36
  7. Integration
    Cursor72Factory62
  8. Onboarding
    Cursor50Factory36
  9. Reliability
    Cursor76Factory76
  10. Feature depth
    Cursor100Factory100
  11. Data portability
    Cursor55Factory49
  12. Transparency
    Cursor100Factory100
  13. Ecosystem reach
    Cursor72Factory62
  14. Documentation
    Cursor60Factory76
  15. Independence
    Cursor40Factory40
  16. Affordability
    Cursor55Factory39
Cursor · avg 65 · wins 8 of 160avg 62 · wins 2 of 16 · Factory
EvidenceCursor 1 · Factory 1
  1. 01Editorial fit
    81
    74
  2. 02Source quality
    60
    76
  3. 03Citation honesty
    58
    58
  4. 04Privacy controls
    40
    40
PrivacyCursor 4 · Factory 0
  1. 05Value for money
    72
    68
  2. 06Speed
    50
    36
  3. 07Integration
    72
    62
  4. 08Onboarding
    50
    36
CapabilityCursor 1 · Factory 0
  1. 09Reliability
    76
    76
  2. 10Feature depth
    100
    100
  3. 11Data portability
    55
    49
  4. 12Transparency
    100
    100
Cost & fitCursor 2 · Factory 1
  1. 13Ecosystem reach
    72
    62
  2. 14Documentation
    60
    76
  3. 15Independence
    40
    40
  4. 16Affordability
    55
    39
CARD A · Cursor
Build & code
Cursor
81/100
ROLEAI-native code editor and agentic refactor workspace
Editorial fit
81
Source quality
60
Citation honesty
58
Privacy controls
40
Value for money
72
Speed
50
FREEHobby
$20/MOPro
$60/MOPro+
FlagshipVerified 2026-06-07VP·METHOD

AI-native code editor and agentic refactor workspace — VS Code-compatible AI editor with Tab completion, Chat, Agent, MCPs, skills, hooks, cloud agents, Bugbot, Privacy Mode, and team/enterprise governance controls.

CARD B · Factory
Build & code
Factory
74/100
ROLEAgent-native delivery surface
Editorial fit
74
Source quality
76
Citation honesty
58
Privacy controls
40
Value for money
68
Speed
36
$20/MOPro
$100/MOPlus
$200/MOMax
FlagshipVerified 2026-06-07VP·METHOD

Agent-native delivery surface — Agent-native software development platform around Droid, with terminal, desktop, CLI, SDK, local/cloud background agents, missions, review workflows, and enterprise controls for delegated software delivery.

Privacy facets

Where each card is actually private.

CursorFactory
Training on your dataUnknownUnknown: Not statedUnknownUnknown: Not stated
EU data residencyNoNo: Not documentedNoNo: Not documented
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyNoNo: Cloud only
Capability split

What each card does uniquely.

Only Cursor11

  • Tab completions
  • inline edits
  • Chat
  • Agent
  • MCPs
  • rules
  • cloud agents
  • Bugbot
  • individual usage pools
  • Teams SSO/admin/analytics/privacy mode
  • Enterprise SCIM/audit/access controls/service accounts/AI code tracking API

Shared2

  • skills
  • hooks

Only Factory12

  • Droid CLI
  • terminal UI
  • desktop app
  • MCP
  • cloud/local background agents
  • Spec Mode
  • missions
  • persistent sessions
  • slash commands
  • plugins
  • model flexibility
  • enterprise controls
Failure modes

Where each card breaks.

Cursor

  • Agent edits can break tests/security despite clean diffs
  • Usage pools and on-demand billing are hard to forecast
  • Privacy Mode off can expose sensitive code context
  • Model/provider routing creates data and cost differences
  • MCP/cloud agents add permission and execution boundaries
  • Students may substitute AI edits for understanding

Factory

  • Autonomous runs can burn rate limits or spend
  • Spec plans can miss cross-package contracts
  • Fallback models can regress on subtle refactors
  • Command execution needs sandboxing/tests/approval
  • Enterprise claims need trust-center verification
Pricing

Pulled straight from each dossier.

Cursor

Build & code
  • FREEHobby
  • $20/MOPro
  • $60/MOPro+

raw · Hobby free · Individual Pro USD 20/mo, with Pro+/Ultra higher-capacity tiers · Teams Standard USD 40 monthly or USD 32 annual per seat · Teams Premium USD 120 monthly or USD 96 annual per seat · Enterprise custom · eligible students get one free Pro year.

Factory

Build & code
  • $20/MOPro
  • $100/MOPlus
  • $200/MOMax

raw · Pro $20/mo. Existing desk notes list Plus $100/mo, Max $200/mo, Teams custom, and Enterprise custom. Current Factory pricing snippets show Pro includes desktop/CLI/SDK, cloud and local background agents, billing/usage statistics, and an agent-readiness dashboard.

Verdict

Which card to actually pick.

In the Build & code set, Cursor edges ahead overall (editorial fit 81 vs 74). Cursor wins on speed and value for money; Factory wins on source quality. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Open Cursor's dossierOpen Factory's dossier
Try Cursor ↗Try Factory ↗