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What is Codestral?

We are thrilled to introduce Codestral, our first code generation model. This generative AI system, featuring open weights, is designed explicitly for code generation tasks, allowing developers to effortlessly write and interact with code through a single instruction and completion API endpoint. As it gains expertise in both programming languages and English, Codestral is set to enhance the development of advanced AI applications specifically for software engineers. The model is built on a robust foundation that includes a diverse selection of over 80 programming languages, spanning popular choices like Python, Java, C, C++, JavaScript, and Bash, as well as less common languages such as Swift and Fortran. This broad language support guarantees that developers have the tools they need to address a variety of coding challenges and projects. Furthermore, Codestral’s rich language capabilities enable developers to work with confidence across different coding environments, solidifying its role as an essential resource in the programming community. Ultimately, Codestral stands to revolutionize the way developers approach code generation and project execution.

What is Amazon CodeWhisperer?

Accelerate your app development process with a cutting-edge coding assistant powered by machine learning. This remarkable tool enhances the application building experience by delivering automated code suggestions that align with the existing code and comments in your integrated development environment (IDE). Developers can responsibly utilize artificial intelligence (AI) to produce applications that are not only syntactically accurate but also secure. Instead of searching for and tweaking code snippets from various sources, you can easily generate complete functions and logical blocks with just a few clicks. Stay immersed in your work without stepping outside the IDE, as you receive custom code suggestions in real-time for all your projects across languages like Java, Python, and JavaScript. Amazon CodeWhisperer is a machine learning-augmented service crafted to boost developer productivity through code recommendations informed by natural language comments and pre-existing code within the IDE. This innovative tool facilitates both frontend and backend development, saving valuable time by helping to generate code necessary for building and training your machine learning models, thereby simplifying the overall development workflow. With such advanced functionalities at their disposal, developers can push the boundaries of innovation more rapidly than ever before, transforming the way they approach coding challenges.

Media

Media

Integrations Supported

C
C#
C++
Java
JavaScript
Kotlin
PHP
Python
Ruby
Rust
Scala
TypeScript
AiAssistWorks
DataChain
LM-Kit.NET
Pipeshift
Yaseen AI

Integrations Supported

C
C#
C++
Java
JavaScript
Kotlin
PHP
Python
Ruby
Rust
Scala
TypeScript
AWS Lambda
AWS Toolkit for Visual Studio Code
Amazon CodeCatalyst

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codewhisperer/

Categories and Features

AI Code Generators

Not specified

AI Code Refactoring

Not specified

AI Coding Assistants

Not specified

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Code Generators

Not specified

AI Code Refactoring

Not specified

AI Coding Assistants

Not specified

AI Copilots

Not specified

AI Tools

Not specified

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