What is Codestral?
Codestral is a code generation AI model developed by the Mistral AI team. It helps developers write and interact with code through shared instructions and API endpoints. Codestral is trained on over 80 programming languages including Python, Java, C, C++, JavaScript, and Bash. It can perform coding tasks, write tests, and use middle-filling mechanisms to complete partial code. With a context window of 32k, larger than most competitors, Codestral outperforms other models on RepoBench. It provides a dedicated API endpoint at Codestral.mistral.ai, allowing users to integrate it into their IDEs using Instruct or Fill-In-the-Middle routes. There's an 8-week free beta period available.
Who Can Benefit from Codestral?
Developers looking to boost coding efficiency and quality will find Codestral useful. It assists in saving time and improving code quality through features like automated code completion, test writing, and error reduction. It supports multiple programming languages and development environments, making it ideal for multilingual projects and team collaborations.
Example Usage
Developer Nate Sesti praises Codestral’s public auto-complete model for its unprecedented speed and quality, promising significant changes for global developers. Vladislav Tankov from JetBrains expresses excitement about the coding and development support capabilities demonstrated by Mistral. Mikhail Evtikhiev from JetBrains reports that Codestral achieved a 73.75% pass rate on the Kotlin-HumanEval benchmark, surpassing GPT-4-Turbo and GPT-3.5-Turbo.
Key Features
Supports more than 80 programming languages such as Python, Java, C, and C++
Can complete coding tasks, write tests, and fill in partial code
Offers a 32k context window for superior long-range code generation
Provides a dedicated API endpoint at Codestral.mistral.ai for easy integration into IDEs
Integrates with application frameworks like LlamaIndex and LangChain to streamline development
Available in VSCode and JetBrains environments to enhance productivity
Users can use Instruct or Fill-In-the-Middle routing within IDEs
Offers an 8-week free beta period for testing and evaluation
How to Use Codestral
Download and test the Codestral model
Access Codestral via HuggingFace platform
Use the dedicated API endpoint Codestral.mistral.ai with personal API keys for authentication
Create an account on La Plateforme and follow the guidelines to start building applications with Codestral
Integrate Codestral into application frameworks like LlamaIndex and LangChain for streamlined development
Use Continue.dev and Tabnine plugins in VSCode and JetBrains environments for interaction with Codestral
Engage with Codestral through Le Chat’s conversational interface for natural and intuitive interactions
Refer to the documentation for setup instructions and examples to understand how Codestral works with various integrations