A step-by-step guide to installing Amazon Q Developer in VS Code, signing in, and configuring it to assist your Swift and iOS code alongside Xcode.
Before installing anything, it helps to understand the target workflow so the steps make sense.
Amazon Q Developer does not run as a native Xcode extension, and it does not build iOS apps. Its home on the Mac is Visual Studio Code, where the extension provides inline completion and chat for Swift.
So the practical arrangement is two apps side by side. Xcode owns the project, the build, SwiftUI previews, the simulator, and signing. VS Code with Amazon Q is where you get AI help writing and refactoring Swift files.
Both tools operate on the same files on disk, so changes you make in one show up in the other after a save.
This guide gets VS Code and Amazon Q configured to assist your Swift code. Keep Xcode installed and your project open in it throughout, because that is still where the app actually comes to life.
Start by confirming a few things are in place, because missing prerequisites cause most early friction.
First, install Xcode from the Mac App Store and open your iOS project in it at least once so it builds and runs. This confirms your Apple toolchain is healthy.
Second, install Visual Studio Code from the official site if you do not already have it.
Third, decide how you will authenticate to Amazon Q. Individual developers typically use a free AWS Builder ID, which does not require a full AWS account. Organizations may instead use IAM Identity Center. Either path is fine; just know which one applies to you.
Finally, make sure you have a stable internet connection, since Q's suggestions come from a cloud service rather than running fully offline.
Open Visual Studio Code and go to the Extensions view, which is the icon in the left sidebar that looks like stacked squares, or press the extensions shortcut.
In the search box, type Amazon Q. Look for the official extension published by Amazon Web Services, and check the publisher name so you do not install a lookalike.
Click Install. VS Code will download the extension and may prompt you to reload the window once it finishes.
After installation you should see an Amazon Q icon appear in the sidebar. That panel is where you will sign in and, later, open chat.
If you previously had the older AWS Toolkit or a CodeWhisperer setup, the current Amazon Q experience is delivered through this dedicated extension, so install it even if you think you already had something similar.
Click the Amazon Q icon in the sidebar to open its panel, then choose the option to sign in.
For individual use, select the Builder ID path. VS Code will open a browser window where you either create a free Builder ID or log in to an existing one, then confirm a code shown in the editor.
If your organization uses IAM Identity Center, choose that option instead and enter the start URL and region your admin gave you.
Once the browser confirms the login, return to VS Code. The panel should now show you as signed in, and the inline suggestion engine becomes active.
If sign-in appears to hang, make sure your default browser is not blocking the popup and that you completed the confirmation step in the browser. Getting authenticated is the gate for everything else, so do not move on until the panel clearly shows a signed-in state.
Now point VS Code at your actual project so Q has real context to work with.
Use File then Open Folder and select the root folder of your iOS project — the same directory that contains your .xcodeproj or .xcworkspace and your Swift sources.
Opening the whole folder rather than a single file matters, because Q can use surrounding files as context for better suggestions.
Open a Swift file and start typing. Within a moment you should see ghosted suggestion text appear ahead of your cursor. Press Tab to accept a suggestion, or keep typing to ignore it.
Because VS Code does not compile Swift for iOS, do not worry about build errors here. Treat VS Code as the authoring surface and let Xcode be the source of truth for whether the app actually builds.
With a Swift file open, write a descriptive function signature or a comment describing what you want, then pause.
For example, type a comment such as a function that fetches a list of users from a URL and decodes JSON, then start the function. Q will typically propose an implementation using URLSession and Codable that you can accept and adjust.
Next, open the Amazon Q chat panel from the sidebar. Ask it to explain a piece of code by selecting the code first, or type a question directly.
Good starter prompts include asking it to write a unit test for a selected function, to refactor a method for readability, or to explain an unfamiliar API.
Accept nothing blindly. Copy generated Swift into your project, switch to Xcode, and build to confirm it compiles and behaves. This accept-then-verify loop is the habit that makes an AI assistant safe to rely on.
A few small adjustments make daily use nicer, and they live in VS Code's settings.
Open Settings and search for Amazon Q. Here you can control whether inline suggestions are on by default, and you can toggle features you do not want.
Consider your telemetry and data-sharing preferences at this stage. Review the options and set them to match your comfort level and any policy your team follows, especially if you work on proprietary code.
If you find suggestions distracting while doing careful manual work, you can pause inline completion and rely on chat only, then re-enable it later.
It is also worth learning the keyboard shortcut to manually trigger a suggestion, so you can ask for help on demand rather than only when Q volunteers it. Small ergonomic tweaks like these are what turn a novelty into part of your everyday flow.
The final step is a habit, not a setting, and it is what makes the whole arrangement productive.
Keep Xcode and VS Code open at the same time. Do your AI-assisted authoring and exploration in VS Code, and switch to Xcode to build, run in the simulator, use SwiftUI previews, and handle signing.
Save often in VS Code so Xcode sees your latest changes. When something does not compile, trust Xcode's diagnostics over anything the assistant claimed.
Use chat for the questions that used to send you to a browser: error messages, API usage, and design trade-offs.
Remember the boundary throughout. Amazon Q accelerates writing Swift, but the app is built and shipped from Xcode, and any App Store submission requires the Apple Developer Program. With that rhythm in place, you get faster authoring without giving up the Apple tools that actually produce your app.
Not necessarily. Individual developers can sign in with a free AWS Builder ID, which does not require a full AWS account. Organizations often use IAM Identity Center instead.
No. The extension targets VS Code and JetBrains IDEs. On the Mac, run it in VS Code alongside Xcode, which remains where you build, sign, and ship the app.
No. VS Code with Amazon Q is only for authoring and editing. Building and running your iOS app happens in Xcode, which reads the same files on disk.
The most common causes are not being fully signed in, having inline suggestions disabled in settings, or a network issue. Confirm the panel shows a signed-in state and that Amazon Q inline completion is enabled.
Amazon Q is a cloud service, so context is sent to AWS to generate suggestions. Review the extension's data-sharing and telemetry settings and follow any policy your team has for proprietary code.