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Codestral by Vyapari

AI pair programmer,
right inside Discord.

Collaborate on code with your team in real-time.
Generate, refactor, and debug directly in your chat server using Mistral's powerful models.

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#dev-chat โ€” Discord
Today at 10:42 AM
๐Ÿ‘ค
DevUser 10:42 AM
@Codestral create a python script to process data
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Codestral BOT 10:42 AM
Here is a robust data processing script for you:
Built for: GitHub โš›๏ธ React/Next.js ๐Ÿ Python โ˜• Java/Kotlin ๐Ÿš€ Modern Stacks

Collaborate on code, together.

โœจ Generate

Turn natural language prompts into production-ready functions, SQL queries, or entire components.

โšก Complete

Context-aware autocomplete that understands your current file and imports. Fills in the middle effortlessly.

๐Ÿ› ๏ธ Refactor

Clean up legacy code. Codestral optimizes loops, modernizes syntax, and adds typing in seconds.

๐Ÿงช Test

Automatically generate unit tests (PyTest, Jest) and docstrings. Catch edge cases before deployment.

See it in action.

demo.ts
// Prompt: Create a React hook for fetching data
        
import { useState, useEffect } from 'react';

export function useFetch(url) {
  const [data, setData] = useState(null);
  const [loading, setLoading] = useState(true);

  useEffect(() => {
    fetch(url)
      .then(r => r.json())
      .then(d => {
        setData(d);
        setLoading(false);
      });
  }, [url]);

  return { data, loading };
}

Fits your community workflow.

No new dashboards. Codestral lives where your team talks.

๐Ÿ‘พ Discord API
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Proven Performance.

32k
Context Window
80+
Languages
Top
HumanEval Score

*Based on Mistral Codestral public benchmarks. Scores may vary by implementation.

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Deploy it yourself or add the hosted version to start coding with your team.

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FAQ

Codestral supports 80+ programming languages, including Python, JavaScript/TypeScript, Java, C++, Go, Rust, and many others.
Yes. We prioritize security. Your code context is used only for generation and is not retained for training without explicit opt-in.
Yes, Codestral's logic is designed to understand project structures and imports within large monorepos.