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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

Command CodevsCursor

In the Build & code set, Command Code edges ahead overall (editorial fit 88 vs 81). Command Code wins on source quality, privacy controls, speed, and value for money; the rest is a wash. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Command Code · avg
74
wins 9 of 16
Cursor · avg
65
wins 4 of 16
Fields differ
12
of 16 dossier rows
Receipts
18
sources + bench notes

Checked 2026-06-15 · Command Code·Checked 2026-06-07 · Cursor

Dossier fields

Sixteen fields, side by side.

No.FieldCommand CodeCursor
01Status · Editorial quality gateFlagshipFlagship
02Editorial fit · 0–100 score88 / 10081 / 100
03CategoryBuild & codeBuild & code
04Primary surfaceLocal appProsumer SaaS
05Modalities
  • Code
  • Text
  • Code
  • Text
06Role in a stackTaste-aware terminal coding agent and open-model harnessAI-native code editor and agentic refactor workspace
07Best for
  • Developers who want a terminal-native agent that learns package manager, test runner, and style preferences from edits
  • Builders experimenting with DeepSeek, Qwen, Kimi, and other open models without writing a custom harness
  • Solo devs and small teams who want $1/mo entry with real agent tooling (MCP, skills, headless -p)
  • Repos already using .commandcode/ taste files that should stay portable via npx taste push/pull
  • 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
08Avoid if
  • You need a GUI IDE with Tab completion as the primary surface — use Cursor instead
  • You cannot parse credit deals, processing fees, and per-model burn before approving team spend
  • You will run headless agents on sensitive repos without tests, sandbox review, or deny lists
  • You need guaranteed EU-only inference on every model route without reading gateway policies
  • 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
09Capabilities tracked
  • npm i -g command-code CLI (cmd)
  • taste-1 continuous learning into .commandcode/ skills and /memory
  • Interactive, headless (-p), and sandbox agent modes
  • /skills, /commands, /mcp, hooks, plugins
  • /agents and persistent session memory
  • Built-in file ops, shell, grep, extended thinking
  • Model picker: Claude, GPT, DeepSeek, Qwen, Kimi, GLM, MiniMax, BYOK
  • Studio billing, usage analytics, team pooled credits
  • npx taste push/pull and /share sessions
  • Commits and PR flows from the terminal
  • 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
10Failure modes · Documented, not buried
  • Prompts and code context still leave the machine to third-party model providers when you invoke AI
  • Credit math (deals + processing fees + top-ups) is easy to mis-budget for teams
  • Taste can encode bad habits if you accept sloppy diffs — garbage in, skill out
  • Headless --yolo mode can execute destructive shell without IDE-style apply review
  • Open-model routes depend on gateways (Vercel, Cloudflare, OpenRouter) with shifting downstream hosts
  • Younger product vs Cursor/Factory — fewer institutional procurement templates
  • 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
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Ship a small CLI feature with Command Code on DeepSeek V4 Flash vs Cursor Agent on the same repo fixture.
    Desk hands-on on VerdictPal: taste file accrued workflow preferences; open-model output matched premium agents on boilerplate tasks.
  • Run 10 headless -p tasks with and without accumulated .commandcode/taste skills.
    Pending formal bench; anecdotal reduction in package-manager and test-runner mismatches after one week.
  • Compare Go-plan credit burn across DeepSeek deal vs Claude Opus on identical refactor prompts.
    Pending; pricing page claims up to 4× stretch on DeepSeek V4 Pro.
  • 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.
14Alternatives tracked
  • Cursor
  • Factory
  • Warp
  • Claude Code
  • opencode
  • GitHub Copilot
  • Windsurf
  • Cline
  • Zed
  • Factory
15Pricing checked2026-06-152026-06-07
16Last verified2026-06-152026-06-07
16 metrics

Sixteen numbers, one shared midline.

Command CodevsCursor

In the Build & code set, Command Code edges ahead overall (editorial fit 88 vs 81). Command Code wins on source quality, privacy controls, speed, and value for money; the rest is a wash. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

  1. Editorial fit
    Command Code88Cursor81
  2. Source quality
    Command Code71Cursor60
  3. Citation honesty
    Command Code58Cursor58
  4. Privacy controls
    Command Code78Cursor40
  5. Value for money
    Command Code91Cursor72
  6. Speed
    Command Code78Cursor50
  7. Integration
    Command Code65Cursor72
  8. Onboarding
    Command Code78Cursor50
  9. Reliability
    Command Code84Cursor76
  10. Feature depth
    Command Code86Cursor100
  11. Data portability
    Command Code57Cursor55
  12. Transparency
    Command Code100Cursor100
  13. Ecosystem reach
    Command Code65Cursor72
  14. Documentation
    Command Code71Cursor60
  15. Independence
    Command Code78Cursor40
  16. Affordability
    Command Code33Cursor55
Command Code · avg 74 · wins 9 of 160avg 65 · wins 4 of 16 · Cursor
EvidenceCommand Code 3 · Cursor 0
  1. 01Editorial fit
    88
    81
  2. 02Source quality
    71
    60
  3. 03Citation honesty
    58
    58
  4. 04Privacy controls
    78
    40
PrivacyCommand Code 3 · Cursor 1
  1. 05Value for money
    91
    72
  2. 06Speed
    78
    50
  3. 07Integration
    65
    72
  4. 08Onboarding
    78
    50
CapabilityCommand Code 1 · Cursor 1
  1. 09Reliability
    84
    76
  2. 10Feature depth
    86
    100
  3. 11Data portability
    57
    55
  4. 12Transparency
    100
    100
Cost & fitCommand Code 2 · Cursor 2
  1. 13Ecosystem reach
    65
    72
  2. 14Documentation
    71
    60
  3. 15Independence
    78
    40
  4. 16Affordability
    33
    55
CARD A · Command Code
Build & code
Command Code
88/100
ROLETaste-aware terminal coding agent and open-model harness
Editorial fit
88
Source quality
71
Citation honesty
58
Privacy controls
78
Value for money
91
Speed
78
$1/MOGo
$15/MOPro
$100/MOMax
FlagshipVerified 2026-06-15VP·METHOD

Taste-aware terminal coding agent and open-model harness — Terminal coding agent with continuous taste learning (taste-1), open-model deals, MCP/skills, and subscription credits from $1/mo — ships, tests, and refactors in your conventions.

CARD B · 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.

Privacy facets

Where each card is actually private.

Command CodeCursor
Training on your dataYesYes: Off by defaultUnknownUnknown: Not stated
EU data residencyPartialPartial: Enterprise tier onlyNoNo: Not documented
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultPartialPartial: Local option availableNoNo: Cloud only
Capability split

What each card does uniquely.

Only Command Code10

  • npm i -g command-code CLI (cmd)
  • taste-1 continuous learning into .commandcode/ skills and /memory
  • Interactive, headless (-p), and sandbox agent modes
  • /skills, /commands, /mcp, hooks, plugins
  • /agents and persistent session memory
  • Built-in file ops, shell, grep, extended thinking
  • Model picker: Claude, GPT, DeepSeek, Qwen, Kimi, GLM, MiniMax, BYOK
  • Studio billing, usage analytics, team pooled credits
  • npx taste push/pull and /share sessions
  • Commits and PR flows from the terminal

Shared0

No overlap detected.

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
Failure modes

Where each card breaks.

Command Code

  • Prompts and code context still leave the machine to third-party model providers when you invoke AI
  • Credit math (deals + processing fees + top-ups) is easy to mis-budget for teams
  • Taste can encode bad habits if you accept sloppy diffs — garbage in, skill out
  • Headless --yolo mode can execute destructive shell without IDE-style apply review
  • Open-model routes depend on gateways (Vercel, Cloudflare, OpenRouter) with shifting downstream hosts
  • Younger product vs Cursor/Factory — fewer institutional procurement templates

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
Pricing

Pulled straight from each dossier.

Command Code

Build & code
  • $1/MOGo
  • $15/MOPro
  • $100/MOMax

raw · Go $1/mo + processing fee ($10 credits, ~$40 effective on DeepSeek V4 Pro deals) · Pro $15/mo ($30 credits) · Max $100/mo · Ultra $200/mo · Provider $15/mo API · Teams $40/mo pooled · Enterprise custom · top-up credits roll over at API cost

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.

Verdict

Which card to actually pick.

In the Build & code set, Command Code edges ahead overall (editorial fit 88 vs 81). Command Code wins on source quality, privacy controls, speed, and value for money; the rest is a wash. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Open Command Code's dossierOpen Cursor's dossier
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