Mistral Code is an enterprise AI coding assistant with powerful models (Codestral, Devstral) & IDE integration. Offers customization, on-prem deployment & full stack control.
Many enterprises want powerful AI coding help but often hit issues with standard copilots, things like connecting to private repos, not enough customization, or capabilities ending at basic autocomplete. Mistral AI is offering a solution with Mistral Code.
It’s an AI coding assistant built for enterprises, bundling their strong models like Codestral and Devstral. It offers flexible deployment options (both cloud or on-prem), allows fine-tuning models on your own code, and comes from a single provider for the whole setup. It’s designed to handle more complex tasks beyond just suggesting code, working right in VS Code and JetBrains.
Mistral Code builds on the open-source Continue project but adds those important enterprise-level controls. Developers can request access from the Mistral account team to set up a pilot.
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@zaczuo VS Code + real AI muscle + your own codebase? Mistral Code looks like a serious upgrade from basic copilots. Fine-tuning + on-prem is a big win for devs who need more than just suggestions
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The ability to fine-tune models on your own code and have flexible deployment options (cloud or on-prem) is huge, especially for businesses with private repositories or specific needs. How easy is it to integrate Mistral Code with existing enterprise systems?
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Mistral Code hits all the right notes for enterprise dev teams — strong models, deep IDE integration, and full-stack control with on-prem flexibility. A serious solution for serious builders.
Report
Kinda sounding like a serious upgrade for dev teams that need more than autocomplete + built for real enterprise needs, this is v. well thought out! Excited to see it in action & following the progress!
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💻 12th launch from Mistral - impressive velocity! "Enterprise AI coding" suggests on-prem/private cloud deployment options. Key to watch: how it balances code generation speed 🔥 with security audits (SAST/DAST integration?).
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This initiative is a game-changer for the AI community! By offering open models that set the bar for efficiency and are available for free with a fully permissive license, it empowers developers and organizations to innovate. Additionally, the optimized commercial models designed for high performance and flexible deployment options provide even more opportunities for growth and scalability. I’m excited to see how it accelerates AI development and adoption across industries!
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I was looking for something like this and bam it's here. I'm trying it for sure 😃
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Huge respect for what you’re building at Mistral.
Open models with fully permissive licenses are game-changers — not just for researchers and hobbyists, but for founders like me trying to build fast and affordably.
Your commitment to openness and performance is what the AI ecosystem truly needs. Subscribed and rooting for you all the way!
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Absolutely in awe of Mistral 7B! It’s nothing short of amazing that a 7 billion‑parameter model can outperform Llama 2 13B—and even rival larger 34B models—while still being fast and easy to use. The open-source Apache 2.0 license and sleek optimizations like grouped‑query and sliding‑window attention make it feel like a gift to the community. Huge thanks to the team for leveling up accessibility to top-tier AI! 🙌
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Flowtica Scribe
Hi everyone!
Many enterprises want powerful AI coding help but often hit issues with standard copilots, things like connecting to private repos, not enough customization, or capabilities ending at basic autocomplete. Mistral AI is offering a solution with Mistral Code.
It’s an AI coding assistant built for enterprises, bundling their strong models like Codestral and Devstral. It offers flexible deployment options (both cloud or on-prem), allows fine-tuning models on your own code, and comes from a single provider for the whole setup. It’s designed to handle more complex tasks beyond just suggesting code, working right in VS Code and JetBrains.
Mistral Code builds on the open-source Continue project but adds those important enterprise-level controls. Developers can request access from the Mistral account team to set up a pilot.
@zaczuo VS Code + real AI muscle + your own codebase? Mistral Code looks like a serious upgrade from basic copilots. Fine-tuning + on-prem is a big win for devs who need more than just suggestions
The ability to fine-tune models on your own code and have flexible deployment options (cloud or on-prem) is huge, especially for businesses with private repositories or specific needs. How easy is it to integrate Mistral Code with existing enterprise systems?
Mistral Code hits all the right notes for enterprise dev teams — strong models, deep IDE integration, and full-stack control with on-prem flexibility. A serious solution for serious builders.
Kinda sounding like a serious upgrade for dev teams that need more than autocomplete + built for real enterprise needs, this is v. well thought out! Excited to see it in action & following the progress!
💻 12th launch from Mistral - impressive velocity! "Enterprise AI coding" suggests on-prem/private cloud deployment options. Key to watch: how it balances code generation speed 🔥 with security audits (SAST/DAST integration?).
This initiative is a game-changer for the AI community! By offering open models that set the bar for efficiency and are available for free with a fully permissive license, it empowers developers and organizations to innovate. Additionally, the optimized commercial models designed for high performance and flexible deployment options provide even more opportunities for growth and scalability. I’m excited to see how it accelerates AI development and adoption across industries!
Huge respect for what you’re building at Mistral.
Open models with fully permissive licenses are game-changers — not just for researchers and hobbyists, but for founders like me trying to build fast and affordably.
Your commitment to openness and performance is what the AI ecosystem truly needs. Subscribed and rooting for you all the way!
Absolutely in awe of Mistral 7B! It’s nothing short of amazing that a 7 billion‑parameter model can outperform Llama 2 13B—and even rival larger 34B models—while still being fast and easy to use. The open-source Apache 2.0 license and sleek optimizations like grouped‑query and sliding‑window attention make it feel like a gift to the community. Huge thanks to the team for leveling up accessibility to top-tier AI! 🙌