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Command Code

Command Code is an AI coding agent optimized for open-source models, providing tool call repair and /design skills.

Tuotetyyppi: CLI AgentHinnoittelu: TuntematonAPIMaster-integraatio: Tuettu

OpenRouter-tokenien käyttöluokitus

#38

Lähteet: OpenRouter

Kuukausittaiset yksittäiset kävijät

235,826

Lähteet: SimilarWeb

Command Code‑etusivun esikatselu

Coding Plan

Kaikki tärkeät AI-mallit yhdellä API-avaimella

Coding Pro -mallien alennukset

  • glm-5.250% off
  • glm-5.350% off
  • deepseek-v4-flash40% off
  • deepseek-v4-pro40% off
  • qwen3.8-max40% off
  • kimi-k2.7-code30% off
  • kimi-k330% off
  • minimax-m330% off
  • deepseek-flash10% off

Yleiskatsaus

Command Code is positioned as a coding agent for developers, primarily interacting with open-source models via command line or interface to complete code-related work. Its core features include automatic tool call repair for open-source models, the /design skill for generating interfaces, and support for low-cost entry plans. It is suitable for developers using open-source models such as DeepSeek and GLM, especially those who wish to avoid high fees or model restrictions. Compared to similar products, it does not charge additional fees for open-source model usage and includes built-in repair mechanisms to reduce call failures.

Yhdellä lauseella

Command Code is an AI coding agent optimized for open-source models, providing tool call repair and /design skills.

Mihin sitä käytetään

Users run code generation tasks with it, fix model tool call errors, and generate UI interfaces via the /design command.

Sopii käyttäjille

Developers, engineering teams, and technical leads

Näin se toimii

It typically first reads context in an IDE, terminal, or project environment, after which the Agent plans steps, executes commands or modifies files, and the user reviews the results.

Tärkeät tiedot

Tuotetyyppi

CLI Agent

Hinnoittelu

Tuntematon

Real-time pricing for the current enhanced edition batch is not maintained for this product; please refer to the official website or official documentation.

APIMaster-integraatio

Tuettu

BYOK Providers / Provider API / Studio API Keys

Tietojen luotettavuus

Keskitaso

Viimeksi tarkistettu: 2026-09-02

Tuetut mallit / API:t

AnthropicThird-party Provider

Tärkeimmät ominaisuudet

Open-source Model Tool Calling

Native support for tool calling with open-source models such as DeepSeek V4 Flash

Tool Call Repair

Automatically repairs tool call errors and retries

/design Skill

Built-in /design command for design-related tasks

Cache Repair

Provides cache repair functionality to reduce repeated calls

Multi-plan Quota System

Offers plans such as GOAT, including specific quota limits and the $1 Go plan

Leaderboard Support

Maintains #1/#2 ranking on the public Leaderboard

Command Code: Käyttötapaukset

Using DeepSeek V4 Flash in codex harness

Call DeepSeek V4 Flash via Command Code to complete codex harness tasks

Sopii käyttäjilleAI developers

Switching plans in Pi harness

Compare the GOAT plan with opencode go and then choose Command Code for Pi harness

Sopii käyttäjilleAI developers

Debugging with tool call repair

Enable the repair feature to continue coding when tool calls fail

Sopii käyttäjilleAI developers

Kolmannen osapuolen avaimen määritys tuotteelle Command Code (APIMaster-integraatio)

Tuettu

Määritysvaiheet

  1. 1Open the Command Code BYOK Providers or provider configuration page.
  2. 2Add a custom provider, or select the OpenAI-compatible / Anthropic-compatible access method provided in the current version.
  3. 3Enter the APIMaster Base URL, API Key, and model ID.
  4. 4After saving, initiate a minimal request in the CLI or desktop client to confirm that results are returned via the new provider.

Määritysarvot

Base URL

https://apimaster.ai/v1

API-avaimen ympäristömuuttuja

APIMASTER_API_KEY

Malli

APIMaster-mallitunnuksesi

Yhteisön keskustelu

Keskustelujen yhteenveto

Users typically understand Command Code as an AI coding agent tool focused on open-source models, emphasizing CLI interaction and agentic workflows. Discussions mainly center on the cost-effectiveness of pricing plans, comparisons with competitors such as Claude Code, Cursor, and OpenCode, the effectiveness of taste features and model support, and productivity performance and limitations in actual coding tasks.

Suositut aiheet

  1. 1

    Is Command Code's pricing plan (such as GOAT) worth subscribing to?

    Users often discuss quota amounts, model usage limits, and actual costs of different tiers, comparing the long-term value of the $1 entry plan with higher-tier options.

  2. 2

    What are the advantages of Command Code compared to Claude Code, Cursor, and OpenCode?

    Users frequently share usage experiences and explore differences in CLI terminal interaction, agent autonomy, and applicability in research or open-source maintenance scenarios.

  3. 3

    How does the taste feature and model support (such as DeepSeek, Qwen) perform in actual coding?

    Users discuss how taste learns personal preferences, tool call repair capabilities, and the reliability and speed of specific models in agentic tasks.

  4. 4

    What are the limitations of Command Code in complex or open-ended coding tasks?

    Users share scenarios where the agent errs in ambitious projects, requires human supervision, and compare feedback loops with IDE tools.

Usein kysyttyä

What type of product is Command Code?

We currently classify it under the "Programming / Developer" category; page descriptions are based on the official website and public sources such as OpenRouter.

What is Command Code suitable for?

The enhanced edition page of Command Code prioritizes displaying collected core tasks and use cases to help you quickly determine whether it matches your current needs.

Can Command Code directly connect to APIMaster now?

There is currently no reliable source confirming that the product supports third-party keys or custom compatible endpoints, so the page status will show as pending verification.

Samankaltaiset Agentit

LähteetVirallinen verkkosivusto

Viimeksi tarkistettu: 2026-09-02 · Ilmoita korjauksesta