Customize Amazon Q Developer recommendations

Get code recommendations based on your internal code base
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Get code recommendations tailored to your code base

Significantly accelerate development by customizing Amazon Q Developer to generate even more relevant inline code recommendations and chat responses by making it aware of your internal libraries, APIs, best practices, and architectural patterns.

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Accelerate onboarding to a new code base

Getting used to a new code base can take months of digging through code, finding documentation, and becoming familiar with coding standards. Amazon Q Developer now speeds up onboarding and minimizes trial and error by answering questions about your code base and suggesting relevant internal libraries, APIs, and more.

Have a conversation about your internal code

Use the Amazon Q Developer chat in the IDE to ask questions about how your internal code base is structured, where and how certain functions or libraries are used, or how to use specific functions, methods, or APIs. Save time building new features, refactoring code, or improving application performance.

Protect your valuable IP

Your organization’s administrators can securely connect Amazon Q Developer to your internal code bases to create multiple customizations. Administrators decide which customization to activate and have fine-grained controls over developer access to the customization. Each customization is isolated from the Amazon Q Developer foundation models to help protect your intellectual property.

  • National Australia Bank

    At NAB, our developers use Amazon Q Developer's generative AI–powered assistant to generate real-time coding suggestions. NAB has now added specific suggestions using the Amazon Q customisation capability that are tailored to the NAB coding standards. We have 500 developers using Amazon Q Developer with customisation enabled. We’re seeing increased acceptance rates of 60% with customisation, and we expect this to grow with Amazon Q Developer chat, which makes it even easier to interact using natural language.

    Andrew Brydon, Executive for Enterprise Engineering, National Australia Bank

  • Prime Video

    We started using customization with Amazon Q Developer earlier this year, and some of our teams have already seen a 30% increase in acceptance rate compared to the base version of Amazon Q Developer. The tailored recommendations based on our internal libraries are saving hours each week for our developers through code generation and semantic code search. Some of our developers are now accepting over 50% of all recommendations from Amazon Q Developer. Using customization with Amazon Q Developer is like pair-programming with a peer with deep knowledge of our codebase who helps guide our developers on our best practices.

    Girish Bajaj, Vice President, Prime Video & Amazon MGM Studios Core Technology