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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 CodevsFactory

In the Build & code set, Command Code edges ahead overall (editorial fit 88 vs 74). Command Code wins on privacy controls, 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.

Command Code · avg
74
wins 10 of 16
Factory · avg
62
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 · Factory

Dossier fields

Sixteen fields, side by side.

No.FieldCommand CodeFactory
01Status · Editorial quality gateFlagshipFlagship
02Editorial fit · 0–100 score88 / 10074 / 100
03CategoryBuild & codeBuild & code
04Primary surfaceLocal appProsumer SaaS
05Modalities
  • Code
  • Text
  • Code
  • Text
06Role in a stackTaste-aware terminal coding agent and open-model harnessAgent-native delivery surface
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
  • 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 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 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
  • 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
  • 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
  • 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
  • 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
  • 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 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
  • Cursor
  • Factory
  • Warp
  • Claude Code
  • opencode
  • Cursor
  • Claude Code
  • Devin
  • GitHub Copilot
  • Windsurf
15Pricing checked2026-06-152026-06-07
16Last verified2026-06-152026-06-07
16 metrics

Sixteen numbers, one shared midline.

Command CodevsFactory

In the Build & code set, Command Code edges ahead overall (editorial fit 88 vs 74). Command Code wins on privacy controls, 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
    Command Code88Factory74
  2. Source quality
    Command Code71Factory76
  3. Citation honesty
    Command Code58Factory58
  4. Privacy controls
    Command Code78Factory40
  5. Value for money
    Command Code91Factory68
  6. Speed
    Command Code78Factory36
  7. Integration
    Command Code65Factory62
  8. Onboarding
    Command Code78Factory36
  9. Reliability
    Command Code84Factory76
  10. Feature depth
    Command Code86Factory100
  11. Data portability
    Command Code57Factory49
  12. Transparency
    Command Code100Factory100
  13. Ecosystem reach
    Command Code65Factory62
  14. Documentation
    Command Code71Factory76
  15. Independence
    Command Code78Factory40
  16. Affordability
    Command Code33Factory39
Command Code · avg 74 · wins 10 of 160avg 62 · wins 4 of 16 · Factory
EvidenceCommand Code 2 · Factory 1
  1. 01Editorial fit
    88
    74
  2. 02Source quality
    71
    76
  3. 03Citation honesty
    58
    58
  4. 04Privacy controls
    78
    40
PrivacyCommand Code 4 · Factory 0
  1. 05Value for money
    91
    68
  2. 06Speed
    78
    36
  3. 07Integration
    65
    62
  4. 08Onboarding
    78
    36
CapabilityCommand Code 2 · Factory 1
  1. 09Reliability
    84
    76
  2. 10Feature depth
    86
    100
  3. 11Data portability
    57
    49
  4. 12Transparency
    100
    100
Cost & fitCommand Code 2 · Factory 2
  1. 13Ecosystem reach
    65
    62
  2. 14Documentation
    71
    76
  3. 15Independence
    78
    40
  4. 16Affordability
    33
    39
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 · 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.

Command CodeFactory
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 Factory14

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

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.

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

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, Command Code edges ahead overall (editorial fit 88 vs 74). Command Code wins on privacy controls, 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 Command Code's dossierOpen Factory's dossier
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