Many new coding details for the Cursor and Mistral assistants

Important new features include automated pull requests, an extended context for projects and fully configurable agents that run on premises.

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The AI companies Cursor and Mistral have equipped their coding assistants with new features that increase developer productivity and simplify their work at Cursor on the one hand, and offer a complete, demarcated AI environment on premises at Mistral on the other.

The French-based company Mistral is releasing Mistral Code, a coding agent for VS Code and JetBrains IDEs that is capable of auto-completion, refactoring, AI chat and deployment functions. It can be operated in the cloud, on premises or serverless, but always within the boundaries of the company, with complete control over internal repos and connected company sources. It is also possible to retrain or reduce complexity.

Mistral Code can be operated within a company in the cloud, on premises or serverless.

(Image: Mistral)

The tool's DIE integration is based on Continue and consists of four components: Codestral (Autocomplete), Codestral Embed (Search and Retrieval), Devstral (Agentic) and Medium (Chat). According to the blog, the agent is good for eighty languages and performs reasoning on files, images, terminal output and issues. Admins receive tools for control, observability, and analysis.

Mistral Code is only available as a private beta. The company is currently testing the application for processing complete tasks: Recording tickets, opening files, writing new modules, performing tests and executing shell commands. Control should always be under the supervision of experienced developers.

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Version 1.0 of the AI coding editor Cursor has been released, which introduces a new component, BugBot. This sets a new “Fix in Cursor” link for GitHub pull requests, which switches to the IDE and creates a suitable prompt for the coding assistant there. This in turn automatically incorporates the fix into the code.

The new "Fix in Cursor" link for BugBot can be found in the GitHub view in the editor.

(Image: Screenshot Cursor)

Memories offer an extension of the context. Users store them in a project, and the wizard will include this context in its considerations by default in the future.

According to the blog, MCP servers can now be set up from projects with a single click, and the IDE supports Jupyter Notebooks and OAuth. Chat generates flowcharts and Markdown. Finally, the background agent for asynchronous and parallel remote AI assistants is now generally available.

Online conference on GenAI in software development

(Image: TechSolution/Shutterstock)

Following the great success of the first betterCode() GenAI, the online conference on AI-supported software development will take place again on June 26.

The organizers iX and dpunkt.verlag have updated the conference program and further improved it based on feedback. It offers the following presentations:

  • Software development with Copilot, ChatGPT and Co
  • What's new in AI coding tools?
  • Testing software with AI support
  • Defeating dinosaurs with ChatGPT – LLMs for analyzing old systems
  • Strengths and weaknesses of AI-supported, secure software development
  • Legal aspects of AI-supported software development

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This article was originally published in German. It was translated with technical assistance and editorially reviewed before publication.