Compare the Top AI Coding Assistants that integrate with Mistral AI as of October 2025

This a list of AI Coding Assistants that integrate with Mistral AI. Use the filters on the left to add additional filters for products that have integrations with Mistral AI. View the products that work with Mistral AI in the table below.

What are AI Coding Assistants for Mistral AI?

AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques. Compare and read user reviews of the best AI Coding Assistants for Mistral AI currently available using the table below. This list is updated regularly.

  • 1
    bolt.diy

    bolt.diy

    bolt.diy

    bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.
    Starting Price: Free
  • 2
    Codestral

    Codestral

    Mistral AI

    We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.
    Starting Price: Free
  • 3
    Devika

    Devika

    Devika

    Devika is an open-source AI software engineer designed to understand high-level instructions, break them into steps, research relevant information, and write code to complete objectives. Using large language models, reasoning algorithms, and web browsing capabilities, Devika can assist in software development by taking on complex coding tasks with minimal human intervention. The platform supports multiple programming languages and offers key features like advanced AI planning, contextual keyword extraction, and dynamic agent tracking. Devika aims to be a competitive alternative to commercial AI tools, providing an ambitious, open-source solution for developers.
    Starting Price: Free
  • 4
    Kodu AI

    Kodu AI

    Kodu AI

    Kodu is an AI-powered development platform that allows users to ideate, prototype, and build software products without needing deep coding expertise. It features Claude Code, a VSCode extension powered by Claude 3.7 Sonnet, which brings agentic coding capabilities directly into your editor: the tool can generate code, inspect diffs of changes it makes, interpret pasted images or mockups into functional UI, and run CLI commands without leaving the chat interface. Kodu also offers Kodu Engineer, a voice-driven assistant that lets you describe your project in natural language and watch it build your app live with screen sharing and instant deployment. Behind the scenes, Kodu utilizes its own “Kodu Cloud” inference API with a “rateless” model connection, allowing users to prototype and extend apps rapidly. All of this is delivered through a workflow that connects idea, design, and production, from mockup to live app, with minimal friction or handoff overhead.
    Starting Price: Free
  • 5
    Continue

    Continue

    Continue

    The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.
    Starting Price: $0/developer/month
  • 6
    Navie AI

    Navie AI

    AppMap

    AppMap Navie is an AI-powered development assistant designed to enhance software development by providing actionable insights and troubleshooting support. It combines static and runtime application analysis to guide developers in understanding and optimizing their codebases more effectively. Navie integrates seamlessly with development environments, offering flexible deployment configurations and support for enterprise-grade security, including options for using GitHub Copilot or custom language models. The platform provides valuable context for AI-driven suggestions, such as HTTP requests, function parameters, and database queries, improving code quality and accelerating problem-solving. Navie is ideal for developers looking to streamline workflows, solve complex coding issues, and enhance overall application performance.
  • 7
    Mistral Code

    Mistral Code

    Mistral AI

    Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments.
  • 8
    Artemis

    Artemis

    TurinTech AI

    Artemis leverages Generative AI, multi-agent collaboration, genetic optimization, and contextual insights to analyze, optimize, and validate codebases at scale, transforming existing repositories into production-ready solutions that improve performance, reduce technical debt, and ensure enterprise-quality outcomes. Integrating seamlessly with your tools and repositories, it uses advanced indexing and scoring to pinpoint optimization opportunities, orchestrates multiple LLMs and proprietary algorithms to generate tailored improvements, and performs real-time validation and benchmarking to guarantee secure, scalable results. A modular Intelligence Engine powers extensions for profilers and security tools, ML models for anomaly detection, and an evaluation suite for rigorous testing, all designed to lower costs, boost innovation, and accelerate time-to-market without disrupting existing workflows.
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