Mistral introduced Mistral Code on June 4th, an AI-powered coding assistant that combines four specialised models to help enterprises complete development tasks faster. The system uses Codestral for code completion, Codestral Embed for code search, Devstral for agentic coding tasks, and Mistral Medium for chat-based support.
Mistral Code builds on the open-source Continue project but adds enterprise features including fine-grained access controls, audit logging, and usage analytics. The system supports over 80 programming languages and enables natural language interactions with codebases, whilst offering full customisation through fine-tuning or post-training on private repositories. AI and Data specialist Shubham Sharma states that Mistral Code revolutionises enterprise AI development by delivering frontier-grade coding models directly into secure, compliant workflows.
The platform has been adopted by global enterprises, including Spanish-Portuguese bank Abanca in hybrid configuration, French national railway company SNCF for 4,000 developers, and Capgemini for 1,500+ developers in on-premises deployment for regulated industries. Software Product Manager Daniel Dominguez highlights that Mistral Code provides real-time code completion, debugging assistance, and automatic documentation generation, whilst performing code performance analysis and offering optimisation suggestions.
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Introduces Mistral Code – a suite of four specialized AI models (Codestral, Codestral Embed, Devstral, Mistral Medium) designed for secure, on‑premises, enterprise-grade coding workflows. :contentReference[oaicite:1]{index=1}
