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Cody by Sourcegraph logo

Cody by Sourcegraph

An AI coding assistant that uses your entire codebase as context to answer questions, generate code, and explain code within your IDE.

Price: Freemium

Categories:AI ChatbotsAI Code AssistantsAI Code GeneratorsAI Code Review ToolsAI Coding Assistants
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Description
Cody by Sourcegraph acts as a universal AI coding assistant that leverages your entire codebase, not just the open file, to provide highly relevant and accurate code suggestions, explanations, and generations. It's built for developers and engineering teams, especially those working with large or complex code repositories. Cody stands out by integrating deeply with Sourcegraph's code intelligence platform, allowing it to understand the full context of your private code, documentation, and dependencies, providing more tailored and reliable AI assistance than tools that rely solely on public data or limited context. This comprehensive understanding leads to superior code quality and faster development cycles.

Cody by Sourcegraph screenshot 1
How to Use
1.Install the Cody extension for your IDE (e.g., VS Code, JetBrains).
2.Connect Cody to your Sourcegraph instance or use Sourcegraph Cloud, linking your code repositories.
3.Cody indexes your codebase to build a semantic understanding of your entire project.
4.Ask Cody questions about your code in natural language via the chat interface within your IDE.
5.Use inline suggestions for code completion as you type, powered by deep codebase context.
6.Ask Cody to generate new code, explain complex sections, or refactor existing code based on your project's patterns.
Use Cases
Codebase understandingCode generation from contextCode explanationRefactoring assistanceDebugging complex systemsOnboarding to new projects
Pros & Cons

Pros

  • Leverages entire codebase for highly contextual AI assistance.
  • Provides accurate code explanations, generations, and refactoring.
  • Integrates with popular IDEs and code hosting platforms.
  • Designed for enterprise-grade security and privacy.
  • Helps understand complex, unfamiliar codebases quickly.

Cons

  • Requires integration with Sourcegraph, which adds complexity.
  • Can be resource-intensive for initial codebase indexing.
  • Pricing scales for teams and custom models.
FAQs

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