VerdictPal
Join
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

CursorvsLovable

In the Build & code set, Cursor edges ahead overall (editorial fit 81 vs 73). Cursor wins on privacy controls; Lovable wins on value for money. For the canonical workflow, pick Cursor. Use Lovable when its niche specifically wins above.

Cursor · avg
65
wins 7 of 16
Lovable · avg
66
wins 2 of 16
Fields differ
13
of 16 dossier rows
Receipts
15
sources + bench notes

Checked 2026-06-07 · Cursor·Checked 2026-06-09 · Lovable

Dossier fields

Sixteen fields, side by side.

No.FieldCursorLovable
01Status · Editorial quality gateFlagshipSolid
02Editorial fit · 0–100 score81 / 10073 / 100
03CategoryBuild & codeBuild & code
04Primary surfaceProsumer SaaSProsumer SaaS
05Modalities
  • Code
  • Text
  • Text
  • Code
06Role in a stackAI-native code editor and agentic refactor workspacePrompt-to-app builder and MVP prototyping tool
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
  • Founders, students, and product teams validating app ideas quickly
  • Non-specialists who can still review generated code, auth, database, deployment, and privacy assumptions
  • Teams that want fast interactive prototypes before committing engineering time
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 need production-grade security without developer or security review
  • You cannot tolerate credit burn plus separate usage-based Cloud/AI costs
  • Your app handles sensitive data and you have not verified Business/Enterprise DPA, hosting, subprocessors, retention, and AI Gateway provider terms
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
  • Prompt-to-app generation
  • Pro/Business shared-user plans
  • Credits/rollovers/top-ups/auto-reload
  • Usage-based Cloud + AI
  • Domains and badge removal
  • Business SSO/security center/team workspace
  • Enterprise SCIM/audit/publishing/sharing/custom connectors
  • Supabase-backed Cloud and AI Gateway
  • Basic/Deep security scans
  • API key protection/database checks/dependency audits
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
  • Credit and Cloud/AI usage can exceed subscription headline
  • Rollover credits can be forfeited after plan changes/cancel/downgrade
  • Generated apps can ship insecure auth/database/secrets/input handling
  • Security scans reduce but do not replace security review
  • AI Gateway depends on third-party provider policies
  • Non-technical users may publish unsafe prototypes
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 3-app benchmark: CRUD app, auth/database app, and public landing app.
    Pending; source research only.
14Alternatives tracked
  • GitHub Copilot
  • Windsurf
  • Cline
  • Zed
  • Factory
  • Replit
  • Bolt
  • v0
  • Cursor
  • Framer
  • Base44
15Pricing checked2026-06-072026-06-09
16Last verified2026-06-072026-06-09
16 metrics

Sixteen numbers, one shared midline.

CursorvsLovable

In the Build & code set, Cursor edges ahead overall (editorial fit 81 vs 73). Cursor wins on privacy controls; Lovable wins on value for money. For the canonical workflow, pick Cursor. Use Lovable when its niche specifically wins above.

  1. Editorial fit
    Cursor81Lovable73
  2. Source quality
    Cursor60Lovable61
  3. Citation honesty
    Cursor58Lovable58
  4. Privacy controls
    Cursor40Lovable36
  5. Value for money
    Cursor72Lovable90
  6. Speed
    Cursor50Lovable50
  7. Integration
    Cursor72Lovable67
  8. Onboarding
    Cursor50Lovable50
  9. Reliability
    Cursor76Lovable70
  10. Feature depth
    Cursor100Lovable91
  11. Data portability
    Cursor55Lovable55
  12. Transparency
    Cursor100Lovable100
  13. Ecosystem reach
    Cursor72Lovable67
  14. Documentation
    Cursor60Lovable61
  15. Independence
    Cursor40Lovable36
  16. Affordability
    Cursor55Lovable83
Cursor · avg 65 · wins 7 of 160avg 66 · wins 2 of 16 · Lovable
EvidenceCursor 2 · Lovable 0
  1. 01Editorial fit
    81
    73
  2. 02Source quality
    60
    61
  3. 03Citation honesty
    58
    58
  4. 04Privacy controls
    40
    36
PrivacyCursor 1 · Lovable 1
  1. 05Value for money
    72
    90
  2. 06Speed
    50
    50
  3. 07Integration
    72
    67
  4. 08Onboarding
    50
    50
CapabilityCursor 2 · Lovable 0
  1. 09Reliability
    76
    70
  2. 10Feature depth
    100
    91
  3. 11Data portability
    55
    55
  4. 12Transparency
    100
    100
Cost & fitCursor 2 · Lovable 1
  1. 13Ecosystem reach
    72
    67
  2. 14Documentation
    60
    61
  3. 15Independence
    40
    36
  4. 16Affordability
    55
    83
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 · Lovable
Build & code
Lovable
73/100
ROLEPrompt-to-app builder and MVP prototyping tool
Editorial fit
73
Source quality
61
Citation honesty
58
Privacy controls
36
Value for money
90
Speed
50
CUSTOMEnterprise
FREEFree
CUSTOMPro
SolidVerified 2026-06-09VP·METHOD

Prompt-to-app builder and MVP prototyping tool — AI app-builder that turns natural-language prompts into web apps, projects, code, deployed apps, Lovable Cloud backends, AI Gateway usage, domains, and collaborative team workspaces.

Privacy facets

Where each card is actually private.

CursorLovable
Training on your dataUnknownUnknown: Not statedPartialPartial: Opt-out available
EU data residencyNoNo: Not documentedPartialPartial: Enterprise tier only
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyNoNo: Cloud only
Capability split

What each card does uniquely.

Only Cursor13

  • 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

Shared0

No overlap detected.

Only Lovable10

  • Prompt-to-app generation
  • Pro/Business shared-user plans
  • Credits/rollovers/top-ups/auto-reload
  • Usage-based Cloud + AI
  • Domains and badge removal
  • Business SSO/security center/team workspace
  • Enterprise SCIM/audit/publishing/sharing/custom connectors
  • Supabase-backed Cloud and AI Gateway
  • Basic/Deep security scans
  • API key protection/database checks/dependency audits
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

Lovable

  • Credit and Cloud/AI usage can exceed subscription headline
  • Rollover credits can be forfeited after plan changes/cancel/downgrade
  • Generated apps can ship insecure auth/database/secrets/input handling
  • Security scans reduce but do not replace security review
  • AI Gateway depends on third-party provider policies
  • Non-technical users may publish unsafe prototypes
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.

Lovable

Build & code
  • CUSTOMEnterprise
  • FREEFree
  • CUSTOMPro

raw · Verified 2026-06-07 from official Lovable pricing/terms/privacy/security docs: Pro $25/month shared across unlimited users with 100 monthly credits and 5 daily credits up to 150/month plus usage-based Cloud + AI; Business $50/month with 100 credits, SSO/team/security center; Enterprise company-size platform fee plus volume credits. Terms add rollover credits only remain with active paid subscription; plan changes/cancellation/downgrade can forfeit them; extra credits/auto-reload rely on processor metering/invoicing records.

Verdict

Which card to actually pick.

In the Build & code set, Cursor edges ahead overall (editorial fit 81 vs 73). Cursor wins on privacy controls; Lovable wins on value for money. For the canonical workflow, pick Cursor. Use Lovable when its niche specifically wins above.

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