Kimi Code: Next-Gen AI Coding Agent for Terminal & IDE

Kimi Code is an AI coding agent designed for terminal-first development workflows. Unlike traditional AI coding assistants that primarily suggest code snippets, it analyzes entire repositories, plans multi-step tasks, executes commands, and iterates autonomously. Powered by Kimi K3 with long-context reasoning, it delivers agent-level automation across both terminal and IDE environments.

14 min read2026-07-27

Traditional code completion tools suggest snippets as you type, but they lack a deep understanding of your entire project. When refactoring multiple files, debugging complex issues, or automating repetitive tasks, developers often switch between their IDE, terminal, and documentation while manually coordinating each step.

An AI coding agent goes beyond simple suggestions. It analyzes entire repositories, plans multi-step changes, executes commands, and iterates autonomously. Instead of assisting line by line, it functions more like an engineering partner that can handle complex workflows.

Kimi Code is built around this agent-based approach. Running in the terminal and integrating with mainstream IDEs such as VS Code, it combines long-context reasoning with high-speed execution to support multi-file refactoring, debugging, and automation at scale.

Key Features of Kimi Code

Kimi Code combines the power of Kimi K3 with a terminal-first design and deep IDE integration. This agent-led approach is powered by several core features that move beyond simple code completion:

Agent-based workflow

Unlike tools that only suggest code, Kimi Code acts as a true agent. It analyzes your codebase, creates a plan, executes commands, and iterates based on results. Tell it "refactor all API calls to use async/await" and it will identify all relevant files, make the changes, run tests, and fix any issues—all automatically.

Up to 1M context window

Kimi K3 provides a context window of up to 1 million tokens, meaning Kimi Code can understand your entire project structure, dependencies, and patterns. It doesn't just see the file you're editing—it sees how everything connects. This makes multi-file refactoring, architecture changes, and large-scale debugging possible. Kimi K3 also brings native visual understanding, so it can reason over screenshots, diagrams, and video as part of a coding task.

Plan mode and shell mode

  • Plan mode: Press Shift-Tab (or type /plan) to enter Plan mode. Kimi Code researches your codebase and proposes a step-by-step plan for your approval before touching any files—the safest way to start a large change.

  • Shell mode: Type ! in the input box to run terminal commands without leaving the conversation. The output is written into the context so the AI can build on it in later turns. Press Ctrl+B to move a long-running command into the background and check on it later in the /tasks panel.

This flexibility lets you seamlessly move between careful planning, AI-driven execution, and direct command execution.

Thinking effort levels

Kimi K3 supports low / high / max thinking effort levels, so you can pick the right intensity for each task—lighter effort for quick questions, maximum effort for complex architectural decisions, tricky bugs, or large refactors. Switch models at any time with the /model command.

Tip: switching models invalidates the existing prompt cache, so start a fresh session with /new before putting Kimi K3 to work—you get better quality and lower token consumption.

Advanced interaction features

  • Multi-line input: Press Shift-Enter or Ctrl-J to insert line breaks when pasting code or error logs

  • Path autocomplete: Type @ to autocomplete file and directory paths from your working directory

  • Image and video paste: Press Ctrl-V (Alt-V on Windows) to paste images or video clips for AI analysis—useful for reproducing UI bugs or walking through a design (video input requires a model with video support)

  • Approval system: Kimi Code asks for confirmation before modifying files or running commands. Two automation levels are available when you need them: YOLO mode (kimi --yolo or /yolo) auto-approves tool actions but may still ask questions, while Auto mode (kimi --auto or /auto) is fully autonomous and never asks—ideal for unattended runs

Standard and HighSpeed tiers

Kimi Code offers two speed tiers built on the same model with identical coding ability:

  • Standard: the default tier for everyday work

  • HighSpeed: roughly 5–6× the output speed of Standard, up to 100 Tokens/s with high stability. Switch instantly with /model in the CLI, or use the kimi-for-coding-highspeed model ID in third-party tools. HighSpeed requires an Allegretto plan or above

Quota-wise, a rolling 5-hour window supports approximately 300–1,200 requests with up to 30 concurrent requests, on top of a weekly quota that refreshes automatically every 7 days.

Seamless IDE integration

Kimi Code CLI natively supports Agent Client Protocol (ACP) through the kimi acp subcommand, enabling integration with:

  • VS Code: Full Kimi Code extension available

  • Zed: Native ACP support

  • JetBrains IDEs: ACP compatibility via the AI chat plugin

Kimi Code VS Code extension interface showing chat panel and code editing features

MCP (Model Context Protocol) support

Kimi Code supports Model Context Protocol (MCP), an open protocol that allows AI models to safely interact with external tools and data sources. This extends Kimi Code's capabilities beyond code editing:

  • External tool integration: Connect to databases, APIs, documentation sources, and development tools

  • Custom workflows: Build specialized agents for specific tasks like security scanning, performance analysis, or documentation generation

  • Ecosystem compatibility: Use existing MCP servers from the community or create your own

MCP servers are configured in mcp.json—at the user level (~/.kimi-code/mcp.json) or per project (.kimi-code/mcp.json)—or interactively with the /mcp-config command; /mcp shows the connection status of all configured servers. stdio, HTTP, and SSE transports are all supported, and MCP tools follow the same approval mechanism as other Kimi Code operations for security.

Kimi Code MCP server management interface showing configured servers and available tools

Session and context management

Kimi Code provides powerful session management and long context handling capabilities for complex, multi-step workflows:

  • Session persistence: Conversations are automatically saved. Resume any session with --continue or switch between multiple projects with --session <id>

  • Context compression: When approaching context limits, use /compact to have AI summarize conversation history while preserving key information—you can even pass an instruction to hint what to keep

  • Usage monitoring: Run /usage at any time to see token usage, context consumption, and quota information

  • Fresh starts: Use /new (alias /clear) to reset the current session context

  • Forking and export: /fork branches a session with full history, and /export-md saves any session as a Markdown file

  • Background tasks: Press Ctrl+B to move long-running commands and sub-agents into the background, and track them in the /tasks panel

This makes Kimi Code ideal for long-running development tasks that span multiple files and require maintaining context over extended periods.

Autonomous goals, swarms, and plugins

For work that runs longer than a single prompt, Kimi Code offers higher-level automation:

  • Goal mode: Start an autonomous objective with /goal <objective> and Kimi Code works toward it across multiple turns until it's done or hits a decision point. Queue up follow-up work with /goal next

  • Swarm mode: /swarm <task> runs multiple agents on the same objective in parallel, with live progress and rate-limit-aware retries

  • Plugins and Agent Skills: Install plugin packages that bundle skills and MCP servers from the official marketplace via /plugins, or teach Kimi Code your own reusable workflows as Markdown-based skills

  • Scheduled tasks: Set timed schedules or one-off reminders in natural language, and Kimi Code executes them automatically at the right time

Device security and compatibility

Kimi Code includes security and compatibility features that make it suitable for professional workflows:

  • 30-day device expiration: For security, devices inactive for over 30 days are automatically unbound. This ensures that unused devices don't remain authorized indefinitely—just run /login again to restore access

  • Works with your favorite agents: Beyond the official CLI and VS Code extension, the Kimi Code API speaks both the OpenAI-compatible and Anthropic-compatible protocols, with official setup guides for Claude Code, OpenCode, Codex, and more

  • Cross-platform consistency: Whether you're on macOS, Linux, or Windows (via the bundled Git Bash), Kimi Code provides a consistent experience with the same commands and features

Kimi Code Membership Benefits

Kimi Code is a premium membership benefit within the Kimi membership plan, specifically designed for code development scenarios. Subscribe to unlock complete AI programming capabilities, including API access, high-performance computing resources, and comprehensive IDE integration support. Requests from the CLI, the VS Code extension, and third-party tools all share the same quota, which refreshes automatically every 7 days.

Core Benefits

BenefitDescription
Latest Flagship ModelsKimi K3 available to Moderato members and above; Kimi K2.7 Code available to all members
Up to 1M ContextAllegretto members and above unlock its full 1M-token context window
HighSpeed TierRoughly 5–6× faster output, up to 100 Tokens/s, for Allegretto members and above
High ConcurrencySupport for up to 30 concurrent requests for complex tasks
Generous QuotaWeekly quota refreshed every 7 days, plus a rolling 5-hour window of ~300–1,200 requests
Extra UsageOptional pay-as-you-go balance shared with Kimi on the web—keeps tasks running after quota ends
Wide CompatibilitySupports Kimi Code CLI, VS Code, Claude Code, OpenCode, Codex, and other mainstream agents
Native IDE IntegrationPlug-and-play support for VS Code, Zed, JetBrains, and other major IDEs

How to use Kimi Code?

Step 1: Install Kimi Code CLI

Kimi Code CLI is written in TypeScript and runs on Node.js—no Python environment required.

Linux/macOS (recommended):

curl -fsSL https://code.kimi.com/kimi-code/install.sh | bash

Windows (PowerShell):

irm https://code.kimi.com/kimi-code/install.ps1 | iex

On Windows, install Git for Windows before the first launch—the CLI uses the bundled Git Bash.

Alternative via npm (requires Node.js 22.19.0 or later):

npm install -g @moonshot-ai/kimi-code

Already using the legacy Python-based kimi-cli? Run kimi migrate after installing to import your existing configuration, sessions, and MCP declarations in one step.

Step 2: Authenticate and configure

Start Kimi CLI:

kimi

Then authenticate using one of these methods:

Option A: OAuth login (recommended)

Run the /login command and choose "Kimi Code (OAuth)". Kimi Code uses the OAuth device-code flow: open the link shown in your terminal, sign in with your Kimi account, and enter the user code to authorize—no manual API key management needed.

Option B: API key setup

Choose "Kimi Platform API key" in /login instead (or configure a provider with /provider). When integrating third-party development tools, create and manage API Keys in the Kimi Code Console—up to 5 keys, each shown only once upon creation.

Step 3: Start coding with AI

Once authenticated, you can start using Kimi Code immediately.

Kimi Code CLI device authorization flow after running the /login command

Here are some example commands:

Basic code generation:

Create a Python function that reads a CSV file and returns the top 10 rows sorted by a specified column.

Multi-file refactoring:

Refactor all database queries in the project to use parameterized queries instead of string concatenation. Check all Python files in the src/ directory.

Debugging:

I'm getting a 'ConnectionError' when running tests. Analyze the test files and network configuration to identify the issue.

Step 4: Use advanced features

Switch to Kimi K3 for the hardest tasks: Run /model and select Kimi K3, then pick a thinking effort level (low / high / max) that matches the task. For the best results and lower token consumption, start a fresh session with /new before switching models.

Run shell commands inline: Type ! followed by the command to execute it directly from the chat input.

Enter Plan mode for careful changes: Press Shift-Tab so Kimi Code researches first and proposes a plan before editing files.

Paste code, images, or videos: Press Ctrl-V (Alt-V on Windows) to paste from the clipboard, then Shift-Enter or Ctrl-J for multi-line input.

Reference project files: Type @ followed by a file or directory name for autocomplete.

Step 5: Integrate with your IDE

VS Code:

Install the "Kimi Code" extension from the VS Code marketplace, then sign in with your Kimi account—or skip sign-in to use your existing API key configuration.

Kimi Code VS Code extension login screen with Kimi account and API key options

Access settings and additional options from the gear icon in the panel.

Kimi Code VS Code extension gear icon menu showing settings and MCP server options

Open the Command Palette and type "Kimi Code" to access additional commands.

VS Code Command Palette showing Kimi Code commands for opening in tab and side panel

Zed: Kimi Code CLI supports ACP natively through the kimi acp subcommand. Add Kimi Code as an external agent in Zed's settings:

{ "agent_servers": { "kimi": { "command": "kimi", "args": ["acp"] } } }

JetBrains IDEs: Enable the AI chat plugin and add Kimi Code from "Configure ACP agents" to drive Kimi sessions directly from your IDE.

Step 6: Manage sessions and context

Kimi Code's session management helps you maintain context across long development sessions:

View and switch sessions:

/sessions

Resume a previous session:

kimi --continue

Switch to a specific session:

kimi --session <session-id>

Start a fresh session:

/new

Compress context when approaching limits:

/compact

Run /usage at any time to monitor token usage, context consumption, and quota. For best results with long context tasks, use /compact periodically to summarize conversation history while preserving key information.

Step 7: Configure MCP (Model Context Protocol)

Extend Kimi Code's capabilities with MCP servers for external tool integration. Servers are declared in mcp.json~/.kimi-code/mcp.json at the user level, or .kimi-code/mcp.json for a single project (project entries override user entries with the same name):

{
  "mcpServers": {
    "context7": {
      "url": "https://mcp.context7.com/mcp",
      "headers": { "CONTEXT7_API_KEY": "your-key" }
    }
  }
}

Entries with a command field are stdio servers; entries with a url field are HTTP servers (set "transport": "sse" only for legacy SSE services). Prefer a point-and-click flow? Run /mcp-config in the TUI to add, edit, or delete servers interactively, and /mcp to check connection status. For servers that require OAuth, run /mcp-config login <server-name>.

Use MCP tools in your workflow: Once configured, Kimi Code can automatically invoke MCP tools. For example, with a database MCP server:

Query the production database to find the top 10 slowest queries from the past week

MCP tools follow the same approval mechanism as other Kimi Code operations. In YOLO mode, MCP operations are auto-approved for faster workflows.

Step 8: Alternative interfaces

Browser UI: Launch the web-based interface for a graphical experience. It runs in the foreground and opens your browser automatically—stop it with Ctrl+C:

kimi web

From inside the TUI, run /web to continue the current session in the browser. You can also open the session visualizer with kimi vis to see a whole session unfold at a glance.

Upgrade or uninstall:

kimi upgrade

If you installed via npm, upgrade with npm install -g @moonshot-ai/kimi-code@latest instead. To uninstall, delete the kimi executable (script installation) or run npm uninstall -g @moonshot-ai/kimi-code (npm installation).

Real-world use cases

Kimi Code excels at complex coding tasks that go beyond simple autocomplete. Below are five practical scenarios:

1. Large-scale code refactoring

  • Scenario: You need to migrate a legacy codebase from one framework to another, or update coding patterns across hundreds of files.

  • Example prompt:

Refactor all React class components in the src/components directory to functional components with hooks. Preserve all existing functionality and prop types. Run the test suite after refactoring and fix any failures.

2. Complex debugging

  • Scenario: You're facing a production bug that involves multiple services, database queries, and API calls. Traditional debugging tools aren't giving you the full picture.

  • Example prompt:

Analyze the error logs in logs/error.log. The issue seems related to user authentication. Trace through the auth middleware, database queries, and API handlers to identify the root cause. Check for race conditions or timing issues.

3. Automated test generation

  • Scenario: You have a large codebase with low test coverage. You need comprehensive tests but don't want to write them manually.

  • Example prompt:

Generate unit tests for all functions in src/utils/helpers.py. Aim for 90%+ coverage. Include edge cases and error handling. Use pytest and follow the existing test patterns in tests/.

4. Project setup and configuration

  • Scenario: You're starting a new project and need to set up the entire development environment, including dependencies, configuration files, CI/CD, and documentation.

  • Example prompt:

Set up a new Node.js project with TypeScript, ESLint, Prettier, Jest, and GitHub Actions CI. Create a proper project structure, add package.json scripts, and generate a comprehensive README with setup instructions.

5. External tool integration with MCP

  • Scenario: You need to integrate with external tools like databases, APIs, or specialized services that aren't part of your codebase. Using MCP (Model Context Protocol), Kimi Code can securely interact with these external resources.

  • Example prompt:

Connect to the production database using the configured MCP server and analyze the slow query log. Identify the top 5 slowest queries and suggest indexing optimizations.

Conclusion

Kimi Code represents the next generation of AI coding assistants by combining Kimi K3—the world's first open 3T-class model—with a true agent-based workflow. Unlike traditional code completion tools that only react to your typing, Kimi Code proactively plans, executes, and iterates—making it ideal for complex tasks like multi-file refactoring, debugging, and automation.

With its up-to-1M context window, Standard and HighSpeed speed tiers, and seamless IDE integration, Kimi Code transforms how developers approach coding. Whether you're migrating legacy code, debugging production issues, or setting up new projects, Kimi Code provides the intelligent assistance you need to work faster and more effectively.

FAQ

Is Kimi Code free?
Kimi Code is a premium membership benefit included with Kimi membership plans. You can log in with your Kimi account to use the CLI and VS Code extension, and the cost is included in your membership subscription. If your subscription quota runs out, you can optionally enable Extra Usage—a pay-as-you-go balance shared with Kimi on the web—to keep working without waiting for the weekly refresh. See Kimi Code pricing for details.
Can I use Kimi Code in VS Code?
Yes! Kimi Code has a native VS Code extension. Install it from the VS Code marketplace, sign in with your Kimi account, and you can use Kimi Code directly in your editor. It also supports ACP-compatible IDEs like Zed and JetBrains through the kimi acp subcommand.
What programming languages does Kimi Code support?
Kimi Code supports all major programming languages. Since it's an AI agent that understands code structure and can execute commands, it works with Python, JavaScript, TypeScript, Go, Rust, Java, C++, and more. It adapts to your project's language and framework.
Which models can I use with Kimi Code?
All members get Kimi K2.7 Code (model ID kimi-for-coding). Moderato members and above can select Kimi K3 (k3 or the 256K variant k3-256k), and Allegretto members and above additionally unlock the full 1M-token context window and the HighSpeed tier (kimi-for-coding-highspeed). Switch models in the CLI with /model.
How do I adjust the thinking effort?
Kimi K3 supports low / high / max thinking effort levels, so you can choose the right intensity for each task—higher effort spends more time reasoning, which helps with complex architectural decisions or tricky bugs. Thinking effort is a per-model setting; pick the model and effort that fit your task when you switch with /model. For best results, start a fresh session with /new after switching, since changing models invalidates the prompt cache.
Can Kimi Code execute dangerous commands?
Kimi Code asks for confirmation before modifying files or running potentially destructive commands. YOLO mode (kimi --yolo or /yolo) auto-approves tool actions but may still ask questions; Auto mode (kimi --auto or /auto) is fully autonomous and never asks. Use these only in safe environments, and always review changes before committing.
How do I run shell commands inside Kimi Code?
Type ! in the input box to enter shell mode and run terminal commands without leaving the conversation—the output is written into the context so the AI can use it in later turns. For long-running commands, press Ctrl+B to move them into the background and check their status anytime in the /tasks panel.
What is MCP (Model Context Protocol) in Kimi Code?
MCP (Model Context Protocol) is an open protocol that allows Kimi Code to safely interact with external tools and data sources. You configure MCP servers in mcp.json (user-level ~/.kimi-code/mcp.json or project-level .kimi-code/mcp.json) or interactively with /mcp-config, and /mcp lists their connection status. stdio, HTTP, and SSE transports are supported, and MCP tools follow the same approval mechanism as other Kimi Code operations for security.
How does Kimi Code handle long conversations and context limits?
Kimi Code provides powerful session management and context compression features. Use /sessions to view and switch between sessions, --continue to resume previous work, and /compact to have the AI summarize conversation history while preserving key information. Run /usage to check token usage, context consumption, and quota at any time. With an up-to-1M context window and intelligent compression, Kimi Code handles long-running development tasks effectively.
Can I use Kimi Code in a web browser?
Yes! Besides the terminal CLI, Kimi Code offers a browser UI mode. Run kimi web to launch the web-based interface—it runs in the foreground and opens your browser automatically. From inside the TUI, /web continues your current session in the browser, and kimi vis opens a session visualizer. This is useful when you prefer a visual interface or need to share your screen during pair programming.
What are the system requirements for Kimi Code?
Kimi Code CLI is written in TypeScript and runs on Node.js—there is no Python requirement. The install script for macOS/Linux has no other prerequisites; on Windows, install Git for Windows first. If you install via npm, you need Node.js 22.19.0 or later. On macOS, the first run may take longer due to Gatekeeper security checks—you can add your terminal to 'System Settings → Privacy & Security → Developer Tools' to speed up subsequent launches.
What slash commands are available in Kimi Code?
Kimi Code supports numerous slash commands: /help for help, /login for authentication, /model to switch models, /sessions (alias /resume) for session management, /new (alias /clear) to start fresh, /compact to compress conversation, /usage to check quota, /plan for Plan mode, /yolo and /auto for automation modes, /tasks for background tasks, /goal and /swarm for autonomous work, /web to open the session in a browser, /export-md to export, /mcp for MCP status, and /exit to quit. Type / in the CLI to see the full list.
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