Cline Integration Guide

Cline is a VS Code extension that provides an autonomous AI coding assistant. It can read files, write code, run commands, and iterate on its work.

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Prerequisites

• VS Code installed
• Cline extension installed
• Infercom API key

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Configuration

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Step 1: Open Cline Settings

1. Open VS Code
2. Click the Cline icon in the sidebar
3. Click the gear icon to open settings

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Step 2: Select Provider

1. In the API Provider dropdown, select OpenAI Compatible
2. Enter the base URL: https://api.infercom.ai/v1
3. Enter your Infercom API key
4. Enter the model name: MiniMax-M2.5

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Step 3: Model Configuration

Under Model Configuration:

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Step 4: Verify Connection

Click Test Connection or start a conversation to verify the setup works.

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Model

Use MiniMax-M2.5 - optimized for agentic coding with 160K context and 75.8% SWE-bench.

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Usage

With Cline configured:

1. Click the Cline icon in VS Code sidebar
2. Type your request in the chat
3. Cline will autonomously:
   • Read relevant files
   • Write or edit code
   • Run terminal commands
   • Iterate until the task is complete

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Example Tasks

• “Add error handling to the login function”
• “Write unit tests for the User class”
• “Refactor this file to use async/await”

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Troubleshooting

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Connection Failed

Verify your configuration:

• Base URL: https://api.infercom.ai/v1
• API key is valid
• Model name is exact: MiniMax-M2.5

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Model Not Found

Ensure the model name matches exactly (case-sensitive): MiniMax-M2.5

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Slow Responses

MiniMax-M2.5 runs at 400+ tokens/sec. If responses seem slow:

1. Check your network connection
2. Large context (many files) increases processing time
3. First request may be slower due to model loading

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Next Steps

• Cursor - Full AI-native IDE
• Continue - Open-source alternative
• Choosing a Tool - Compare all options