Grok Code Fast 1 – AI Programming Model by xAI

What is Grok Code Fast 1？

Grok Code Fast 1 is an AI programming model launched by xAI, designed for fast and efficient basic coding tasks. The model processes 92 tokens per second and supports a 256k context window, making it well-suited for rapid prototyping, debugging, and generating simple visual elements. It is available for free on platforms like Kilo Code and Cursor, and is currently offered as a public preview in GitHub Copilot Pro, Pro+, Business, and Enterprise plans within Visual Studio Code.

Key Features of Grok Code Fast 1

• Rapid Code Generation: Generates functional code within seconds, ideal for prototyping, debugging, and basic visual element creation.

• High Processing Efficiency: Handles 92 tokens per second with a 256k context window, capable of supporting large-scale projects.

• Cost-Effective: Priced at $0.20 per million input tokens and $1.50 per million output tokens, making it accessible for budget-conscious developers.

• Multi-Platform Support: Available on Kilo Code, Fine, Cursor, and Windsurf, making it easy to integrate into diverse development workflows.

How to Use Grok Code Fast 1

1. Install the GitHub Copilot Extension:

   • Open Visual Studio Code.

   • Go to Extensions view (click the Extensions icon on the left panel or press Ctrl+Shift+X).

   • Search for and install “GitHub Copilot”.

2. Enable Grok Code Fast 1:

   • Open VS Code settings (Ctrl+,).

   • Search for “GitHub Copilot” settings.

   • Locate options related to “Copilot Labs” or “Grok Code Fast 1”.

   • For individual plans, enable via the Bring Your Own Key (BYOK) feature.

3. Use Grok Code Fast 1:

   • Open a code file.

   • Place your cursor where you want code to be generated.

   • Press Tab or Enter, or use the Command Palette (Ctrl+Shift+P) to invoke Grok Code Fast 1.

   • Select functions like “Generate Code” or “Debug Code”.

Project Link

• Official Docs: https://docs.x.ai/docs/models/grok-code-fast-1

Application Scenarios of Grok Code Fast 1

• Code Generation: Quickly generate code snippets such as functions, classes, and modules to support prototyping and common logic implementation.

• Code Completion: Provide intelligent code completion and suggestions, reducing typing effort and improving productivity.

• Code Debugging: Help developers locate and fix bugs efficiently by generating debugging code and hints.

• Code Optimization: Offer recommendations for performance improvements and coding style enhancements to boost readability and efficiency.

• Documentation Generation: Automatically generate code comments and API documentation to improve code understanding and usability.