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Codestral

Codestral generates code, completes functions, and writes tests across 80+ programming languages, enhancing developer efficiency.
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Codestral

What is Codestral?

Codestral is an open-weight generative AI model developed by Mistral AI for code generation tasks. Trained on a diverse dataset of 80+ programming languages, including popular ones like Python, Java, and C++, Codestral is designed to assist developers in various coding environments. It excels in completing coding functions, writing tests, and filling in partial code using a unique mechanism. With its impressive 22B model size, Codestral sets a new standard in code generation performance, outperforming other models in terms of latency and performance. Developers can interact with Codestral through a shared instruction and completion API endpoint, leveraging its capabilities to enhance coding efficiency and reduce errors and bugs.

Who created Codestral?

Codestral was created by Mistral AI, with key contributions from its team. The company introduced Codestral as its first-ever code model, designed for code generation tasks across 80+ programming languages. Mistral AI team members like Meital Zilberstein, Quinn Slack, Jerry Liu, and others have provided positive feedback on Codestral's performance and impact on software development workflows.

Who is Codestral for?

  • Software developer
  • Data Scientist
  • Web Developer
  • Mobile App Developer
  • Devops engineer
  • QA Engineer
  • System Administrator
  • Technical writer
  • Game Developer
  • Research Scientist

How to use Codestral?

To use Codestral effectively, follow these steps:

  1. Create an Account: Register on the Mistral AI platform to begin using Codestral for your code generation tasks.
  2. Choose Your Environment: Codestral offers integration with popular coding tools like LlamaIndex, LangChain, VSCode, and JetBrains. You can easily build applications with Codestral in these environments.
  3. Explore Integrations: Utilize Codestral within VSCode or JetBrains by installing plugins like Continue.dev and Tabnine. These plugins enable you to generate and interact with code seamlessly.
  4. Developer Community Feedback: Gain insights from developers who have used Codestral. Feedback highlights the speed, quality, and transformative impact Codestral has on coding tasks.
  5. Get Started: Download the Codestral model from HuggingFace for research and testing purposes under the Mistral AI Non-Production License. For commercial activities, commercial licenses are available upon request.

By following these steps, you can harness the power of Codestral to enhance your code generation processes and boost your development workflow.

Get started with Codestral

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