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cto.new VS Command Code

cto.new VS Command Code 对比,cto.new 和 Command Code 有什麼區別?

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總結

cto.new 總結

Code with the latest frontier models from Anthropic, OpenAI and more. No credit card or API keys required. Instant access only for Product Hunt - https://cto.new/product-hunt

cto.new 著陸頁

Command Code 總結

Command Code 著陸頁

比較詳情

cto.new 詳細信息

類別 AI 程式碼助理, AI 代理, AI 代碼生成, AI 開發者工具
cto.new 網站 https://cto.new/product-hunt?utm_source=toolify
添加時間 2025年11月14日
cto.new 定價 --

Command Code 詳細信息

類別 AI 程式碼助理, AI 代理, AI 開發者工具, AI 代碼生成, AI程式碼審查, AI Copilot
Command Code 網站 https://commandcode.ai?utm_source=toolify
添加時間 2026年7月15日
Command Code 定價 --

使用對比

如何使用cto.new?

To use cto.new, users must either log into an existing account or create a new one. Account creation options include continuing with GitHub, GitLab, Google, Linear, or Email. Users are also required to accept the Terms and Conditions and consent to data use.

如何使用Command Code?

Install Command Code with `npm i -g command-code`, then sign in and use it from your terminal. You can work in interactive CLI mode, headless mode with `-p` or `--yolo`, or in a background sandbox. As you accept, reject, and edit suggestions, it learns your taste and stores reusable skills and memory. Teams can share conventions with `npx taste push` and `npx taste pull`.

比較 cto.new 和 Command Code 的優點

cto.new 的核心功能

  • Code with the latest frontier models from Anthropic, OpenAI and more
  • Completely free AI code agent
  • No credit card or API keys required

Command Code 的核心功能

  • Continuously learns your coding taste from accepts, rejects, and edits
  • Terminal-based AI coding agent with interactive, headless, and sandbox modes
  • Built-in developer tools like file ops, shell, grep, and extended thinking
  • Persistent project skills and memory across sessions
  • Team taste sharing with `npx taste push/pull`
  • Supports many open-source and premium models

比較用例

cto.new 的用例

  • Generate code using advanced AI models
  • Experiment with frontier AI models for coding without cost
  • Assist in programming tasks and development workflows

Command Code 的用例

  • Build or refactor a CLI app with your preferred conventions
  • Generate and run tests, then fix failing code automatically
  • Create API routes and keep project patterns consistent
  • Share coding preferences across a team so everyone follows the same style
  • Audit, recolor, and reship an interface with the `/design` workflow

cto.new 和 Command Code 之間的計劃不同

cto.new

對不起,沒有數據

Command Code

Go

$1/month + processing fee

$10 in credits included; open-source models; taste-1 access; limited usage analytics; Discord community support; up to about $40 usage with deals.

Pro

$15/month + processing fee

$30 in credits included; open-source plus premium models; taste-1 access; usage analytics; Discord community support; up to about $120 usage with deals.

Max 10×

$100/month + processing fee

$150 in credits included; open-source plus premium models; taste-1 access; higher rate limits; priority support; up to about $600 usage with deals.

Max 20×

$200/month + processing fee

$300 in credits included; open-source plus premium models; taste-1 access; highest rate limits; priority support; up to about $1,200 usage with deals.

Provider

$15/month + processing fee

API plan for OpenAI- and Anthropic-compatible endpoints; pay as you go; no markup; top-ups roll over and never expire; bring-your-own-key supported.

Teams

$40/month + processing fee

Shared team bucket; taste-1 access; open-source plus premium models; team collaboration and management; shared billing and central admin; priority support.

Enterprise

Custom

Tailored credits and seats, unlimited team seats, dedicated support engineer, SLA guarantees, custom infrastructure, and onboarding.

比較流量/每月訪客量

cto.new 的流量

cto.new 是月访问量為 295.7K 且平均訪問時長為 00:04:09 的工具。 cto.new 的每次訪問頁數為 5.12,跳出率為 39.47%。

最新網站流量

月訪問量 295.7K
平均訪問時長 00:04:09
每次訪問頁數 5.12
跳出率 39.47%
Aug 2025 - Aug 2026 所有流量:

Command Code 的流量

Command Code 是月访问量為 1.5M 且平均訪問時長為 00:06:03 的工具。 Command Code 的每次訪問頁數為 5.74,跳出率為 33.23%。

最新網站流量

月訪問量 1.5M
平均訪問時長 00:06:03
每次訪問頁數 5.74
跳出率 33.23%
Apr 2026 - Aug 2026 所有流量:

地理流量

The top 5 countries/regions for cto.new are:United States 48.50%, India 8.01%, United Kingdom 4.54%, South Africa 4.23%, Brazil 4.14%

Top 5 Countries/regions

United States
48.50%
India
8.01%
United Kingdom
4.54%
South Africa
4.23%
Brazil
4.14%

地理流量

The top 5 countries/regions for Command Code are:China 17.86%, Indonesia 14.87%, India 11.41%, Vietnam 9.57%, United States 6.19%

Top 5 Countries/regions

China
17.86%
Indonesia
14.87%
India
11.41%
Vietnam
9.57%
United States
6.19%

網站流量來源

cto.new 的 6 個主要流量來源是:直接 60.04%, vs_sourcesSearchOrganic 13.19%, 引薦 12.85%, vs_sourcesDisplayAds 5.62%, vs_sourcesSocialOrganic 4.29%, vs_sourcesGenAi 1.72%, vs_sourcesSearchPaid 1.35%, 郵件 0.86%, vs_sourcesSocialPaid 0.07%, vs_sourcesAffiliate 0.00%

直接
60.04%
vs_sourcesSearchOrganic
13.19%
引薦
12.85%
vs_sourcesDisplayAds
5.62%
vs_sourcesSocialOrganic
4.29%
vs_sourcesGenAi
1.72%
vs_sourcesSearchPaid
1.35%
郵件
0.86%
vs_sourcesSocialPaid
0.07%
vs_sourcesAffiliate
0.00%
Aug 2025 - Aug 2026 僅限全球桌面設備

網站流量來源

Command Code 的 6 個主要流量來源是:直接 60.07%, vs_sourcesSearchOrganic 26.12%, vs_sourcesSocialOrganic 6.17%, 引薦 4.60%, vs_sourcesSocialPaid 1.16%, vs_sourcesGenAi 0.89%, 郵件 0.83%, vs_sourcesDisplayAds 0.14%, vs_sourcesSearchPaid 0.02%, vs_sourcesAffiliate 0.00%

直接
60.07%
vs_sourcesSearchOrganic
26.12%
vs_sourcesSocialOrganic
6.17%
引薦
4.60%
vs_sourcesSocialPaid
1.16%
vs_sourcesGenAi
0.89%
郵件
0.83%
vs_sourcesDisplayAds
0.14%
vs_sourcesSearchPaid
0.02%
vs_sourcesAffiliate
0.00%
Apr 2026 - Aug 2026 僅限全球桌面設備

cto.new 或 Command Code哪個更好?

Command Code 可能比 cto.new 更受歡迎。如您所見,cto.new 每月有 295.7K 次訪問,而 Command Code 每月有 1.5M 次訪問。 所以更多的人選擇Command Code。 因此,人們很可能會在社交平台上更多地推薦 Command Code。

cto.new 的平均訪問持續時間為 00:04:09,而 Command Code 的平均訪問持續時間為 00:06:03。 此外,cto.new 的每次訪問頁面為 5.12,跳出率為 39.47%。 Command Code 的每次訪問頁面為 5.74,跳出率為 33.23%。

cto.new 的主要用戶是United States, India, United Kingdom, South Africa, Brazil,分佈如下:48.50%, 8.01%, 4.54%, 4.23%, 4.14%。

Command Code 的主要用戶是 China, Indonesia, India, Vietnam, United States,分佈如下:17.86%, 14.87%, 11.41%, 9.57%, 6.19%。

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