Customise Amazon Q Developer (in your IDE) along with your personal code base

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Right this moment, we’re making the Amazon Q Developer (in your IDE) customization functionality typically obtainable for inline code completion, and we’re launching a preview of customization for the chat. Now you can customise Amazon Q to generate particular code suggestions from personal code repositories within the IDE code editor and within the chat.

Amazon Q Developer is a synthetic intelligence (AI) coding companion. It helps software program builders speed up software improvement by providing code suggestions of their built-in improvement environments (IDE) derived from current feedback and code. Behind the scenes, Amazon Q makes use of massive language fashions (LLMs) educated on billions of strains of code from Amazon and open supply tasks.

Amazon Q is offered in your IDE, and you’ll obtain the extension for JetBrains, Visible Studio Code, and Visible Studio. Within the IDE textual content editor, it suggests code as you sort or write total capabilities from a remark you enter. You can too chat with Q Developer and ask it to generate code for particular duties or clarify code snippets from a code base you’re discovering.

With the brand new customization functionality, builders can now obtain much more related code suggestions which can be primarily based on their group’s inside libraries, APIs, packages, courses, and strategies.

For instance, let’s think about {that a} developer working for a monetary firm is tasked to jot down a operate to compute the full portfolio worth for a buyer. The developer can now describe the intent in a remark or sort a operate identify reminiscent of computePortfolioValue(customerId: String), and Amazon Q will counsel code to implement that operate primarily based on the examples it realized out of your group’s personal code base.

The developer also can ask questions on their group’s code within the chat. Within the instance above, let’s think about the developer is new to the staff and doesn’t know how you can retrieve a buyer ID. He can ask the query within the chat in plain English: how do I connect with the database to retrieve the customerId for a selected buyer? Amazon Q chat might reply: I discovered a operate to retrieve customerId primarily based on buyer first and final identify which makes use of the database connection XYZ…

As an administrator, you create customizations constructed out of your inside git repositories (reminiscent of GitHub, GitLab, or BitBucket) or an Amazon Easy Storage Service (Amazon S3) bucket. It helps Amazon Q perceive the intent, decide which inside and public APIs are greatest suited to the duty, and generate code suggestions.

Amazon Q customization functionality meets the sturdy knowledge privateness and safety you anticipate from AWS. The code base you share with Amazon Q stays personal to your group. We don’t use it to coach our basis mannequin. As soon as customizations are deployed, the inference endpoint is personal for the builders in your group. Suggestions primarily based in your code gained’t pop up in one other firm’s developer IDE. You resolve which builders have entry to every particular person customization, and you’ll observe metrics to measure the efficiency of the customizations you deployed.

We constructed the Amazon Q customization functionality primarily based on main technical strategies, reminiscent of Retrieval Augmented Technology (RAG). This very detailed weblog put up shares extra particulars concerning the science behind the Amazon Q customizations functionality.

CodeWhisperer RAG diagram

Since we launched the preview on October 17 final yr, we’ve added two new capabilities: the flexibility to replace a customization and the flexibility to customise the chat within the IDE.

Your group’s code base is consistently evolving, and also you need Amazon Q to at all times counsel up-to-date code snippets. Amazon Q administrator can now begin an replace course of with one step within the AWS Administration Console. Directors can schedule common updates primarily based on the most recent commits on code repositories to make sure builders at all times obtain extremely correct code recommendations.

With the brand new chat customization (in preview), builders in your group can choose a portion of code of their IDE and ship it to the chat to ask for a proof of what the chosen code does. Builders also can ask generic questions relative to their group’s code base, like “How do I connect with the database to retrieve customerId for a selected buyer?”

Let’s see how you can use it
On this demo, I made a decision to concentrate on the brand new customization replace functionality that’s typically obtainable at this time. To shortly learn to create a customization, activate it, and grant entry to builders, learn the superb put up from my colleague Donnie.

To replace an current customization, I navigate to the Customizations part of the Amazon Q console web page. I choose the customization I wish to replace. Then, I choose Actions and Create new model.

Codewhisperer customization - update 1a

Equally to what I did once I created the customization, I select the supply code repository and choose Create.

Codewhisperer customization

Creating a brand new model of the customization would possibly take some time as a result of depends upon the amount of code to ingest. When prepared, a brand new model seems beneath the Variations tab. You may examine the Analysis rating of the brand new model with the earlier variations and resolve to activate it to make it obtainable to your builders. At any level, you possibly can revert to a earlier model.

Codewhisperer customization - update 3a

One of many points I like about lively customizations is that I can monitor their effectiveness to assist improve developer productiveness in my group.

On the Dashboard web page, I monitor the Consumer exercise. I can monitor what number of Each day lively customers there are, what number of Strains of code have been generated, what number of Safety scans had been carried out, and so forth. If, like me, you may have used Amazon CodeWhisperer Skilled previously, while you use it now, you would possibly nonetheless see the identify CodeWhisperer seem on some pages. It’ll progressively get replaced with the brand new identify: Amazon Q Developer.

Codewhisperer customization dashboard 1

Amazon Q generates extra metrics and publishes them on Amazon CloudWatch. I can construct CloudWatch dashboards to watch the efficiency of the customizations I deployed. For instance, here’s a customized CloudWatch dashboard that displays the code recommendations’ Block Settle for Charge and Line Settle for Charge, damaged down per programming language.

Codewhisperer customization dashboard 2

Supported programming languages
At present, you possibly can customise Amazon Q suggestions on codebases written in Java, JavaScript, TypeScript, and Python. Information written in different languages supported by Amazon Q, reminiscent of C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL, and Scala is not going to be used when creating the customization or when offering personalized suggestions within the IDE.

Pricing and availability
Amazon Q is AWS Area agnostic and obtainable to builders worldwide. Amazon Q is at the moment hosted in US East (N. Virginia). Amazon Q directors can configure Amazon Q as a licensed cross-Area software you probably have AWS IAM Identification Heart in different Areas.

The Amazon Q customization functionality is offered at no extra cost throughout the Amazon Q Developer Skilled subscription. You may create as much as eight customizations per AWS account and maintain as much as two customizations lively.

Now go construct, and begin to suggest Amazon Q customizations to your group’s builders.

— seb

July 11, 2024: This put up was up to date to replicate that Amazon Q Developer within the Visible Studio IDE is now typically obtainable as of July 3, 2024.


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