Codestral FAQs

What is Codestral?

Codestral is a new AI product developed by Mistral AI. It's designed to empower developers by making coding easier and more accessible.

How does Codestral work?

Codestral uses Mistral AI's cutting-edge technology to understand your coding needs and provide helpful suggestions.

What kind of coding tasks can Codestral help with?

Codestral can assist with a wide range of coding tasks, from generating code snippets to debugging existing code.

How can Codestral benefit developers?

Codestral can help developers save time and effort by automating repetitive tasks and providing insights into potential solutions. It's also a great tool for learning new languages and techniques.

How is Codestral different from other coding assistants?

Codestral is built on Mistral AI's proprietary technology, which allows it to provide more accurate and context-aware suggestions than other tools.

Where can I learn more about Codestral?

You can find more information about Codestral on the Mistral AI website, including blog posts, demos, and case studies. You can also join the Mistral AI Discord server to connect with other developers and learn more about the product.

• Codestral is a code generation model designed for developers, capable of understanding and generating code in 80+ programming languages, including Python, Java, and JavaScript.
• To download and test Codestral for research and testing, visit the HuggingFace page and access the 22B open-weight model under the Mistral AI Non-Production License.
• For commercial use, request a commercial license by contacting the Mistral AI team; this process is necessary for production environments.
• Access Codestral via its dedicated codestral.mistral.ai API endpoint, designed for IDE plugins, requiring a personal API key and currently in a free beta period.
• Utilize Codestral on the standard api.mistral.ai endpoint for research, batch queries, or integrating into third-party apps where users don't use their own API keys.
• To use Codestral on api.mistral.ai, create an account on la Plateforme and follow the code generation guide provided in the documentation.
• Interact with the instructed version of Codestral through Le Chat, Mistral's free conversational interface, to experiment with code generation and understand the model's capabilities.
• Integrate Codestral into popular coding environments such as VSCode and JetBrains using plugins like Continue.dev and Tabnine for code generation.
• Explore integration options within application frameworks like LlamaIndex and LangChain, enabling creation of AI applications using Codestral.
• Refer to Mistral AI's documentation for detailed set-up instructions, examples, and specifics on integrating Codestral into various tools.
• Assess Codestral's performance using benchmarks like HumanEval, MBPP, and RepoBench, noting its strong performance in code generation and long-range completion.
• Utilize Codestral's Fill-in-the-Middle functionality for completing partially written code, a useful tool to speed up coding tasks, especially in Python, JavaScript, and Java.