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Flutter Debugging: Top Tips and Tools You Need to Know

Modern applications are complex inter-connected collections of services and moving parts that all have the potential to fail or not work as expected. Flutter and the language it’s built upon, Dart, are designed for event-driven, concurrent, and, most crucially, performant apps. It’s important for any developer using them to have a decent selection of debug tools.

The default Flutter toolchain includes a rich suite of tools for debugging and profiling applications that gives you a headstart over many other languages. This solid base allows plugins for popular IDEs and external monitoring providers to provide deep insights into your Flutter application.

In this post, I look at some of the options and how those can help with Flutter debugging and profiling.

Flutter debugging example

This post uses an example to do aggregator to cover the top tools and tips you need for Flutter debugging. The intention of the aggregator is to create an application that pulls in several sources of tasks, issues, and to dos to show them all together in a sortable, filterable list. For this article, the application only sources items from Trello and GitHub issues and presents them in a list.

However, the application still fetches data from two APIs, parses JSON responses, merges data structures, and presents them in a scrollable list. Plenty of opportunities to introduce problems!

You can follow progress on the application on GitHub.

Logging options

Many developers’ first point of call is to litter the code with the language equivalent of “console.log()”. We all know it’s not the best thing to do, but sometimes it’s enough for quick and dirty debugging.

Flutter and Dart have two different ways to do this.

You can use print(), stdout, and stderr to log messages to the console.

You can use the dart:developer log() function to receive more information in the logging output. Using log(), you can add one or more of several optional parameters, including a timestamp, error level, and stack trace.

How to debug flags in Flutter

As Flutter is UI-centric and application interfaces often consist of dozens of cascading widgets, visual feedback on application UIs is important. Flutter has a handful of debug flags you can add to classes that provide a variety of uses. However, Flutter’s DevTools has features that replicate (and improve) these flags, so unless you have a reason to use them, it’s probably best not to.

You can find an overview of the flags in the Flutter documentation and a full reference in the rendering package properties list.

The DevTools Package

One of the most powerful features of Flutter is the DevTools package. It’s a collection of tools that provide debugging and performance features. It’s best used with the Android Studio, IntelliJ, or VS Code plugins, but you can also use it in-browser or from the command line. For an in-built tool, it provides a lot of useful features, including:

  • Inspect the UI layout and state
  • Diagnose UI performance issues
  • CPU profiling (in profile mode only)
  • Network profiling (in profile mode only)
  • Source-level debugging
  • A timeline view that supports tracing
  • Debug memory issues
  • View general log and diagnostics information about a running app
  • Analyze code and app size

When you run an application in debug or profile mode, DevTools starts automatically and opens in either your editor or in a browser if run from the command line. DevTools shows a lot of information by default but set breakpoints with an editor plugin to get the most from them.

DevTools in Chrome

You can use DevTools to debug a Flutter application running anywhere, from in-browser to a physical device connecting with a USB cable.

Editor plugins for debugging a Flutter application

The Android Studio, IntelliJ, and VS Code plugins bundle DevTools into the IDE, allowing you to live-inspect all the items listed above while the application is running.

DevTools in VSCode

If you set any breakpoints, DevTools pauses the application at the breakpoint and shows you the current state of the application, including variables the application declares. You can then use the DevTools UI to inspect the application state and continue execution.

Sentry Flutter plugin

While Flutter bundles a lot of comprehensive tools for debugging while you are building an application, it’s important to have a way to track and monitor errors in production, and Sentry can help with this. This includes manually added exception catching as well as production performance monitoring, which Sentry enriches with metadata and screenshots.

Debugging actual issues

How do these various tools help me debug my application? Here’s an example of some of the errors I encountered and which tool helped me resolve them. Of course, there were many more errors, but most of those were human-generated 😅. I use Visual Studio Code for my development. But as I tested the application in the browser during development, I had the same DevTools available in my editor and the browser.

Some of the issues and problems I had were:

  • Calling an incorrect API endpoint for an external service
  • Calling a correct endpoint but with an incorrect argument
  • Calling a correct endpoint with the correct argument, but that returned a payload unsuitable to my use
  • Using an out-of-date dependency that causes incompatibility issues or failures
  • Using an out-of-date token
  • Inspecting payloads from an API call

One of the most significant issues I had with the application was that different API calls returned differently formatted payloads. It turns out that REST APIs aren’t always as standard as you may think. Fortunately, I could see the issue by hovering over watched variables to see the current value. In another example, I needed to merge the two JSON strings to create objects from them and only by digging into the variable values could I see what sort of string manipulation I needed to get this to work. This manipulation involves removing the square brackets from the end of one string and the start of the other and concatenating the two strings with a comma.

Widget Tree Inspector

I could have achieved the same with log statements, but watching variables is much tidier.

Currently, the application doesn’t have a complex UI, but it will eventually be a long list of nested widgets, each consisting of numerous properties that will be widgets. The widget tree inspector is essential to understanding how that widget tree fits together.

Widget Tree Inspector View

One of the main problems with calling numerous APIs is authenticating with them. In addition to generating and storing keys and tokens, they often expire, breaking applications in production.

While the inbuilt Flutter DevTools could help debug the source of the issue, they won’t alert you to an issue in production. An external performance monitoring tool like Sentry can. The key is adding the instrumentation in the right place, around the call to the API, for example, or the error generated is meaningless.

try {
  final trelloResponse = await http.get(_trelloURL);} catch (exception, stackTrace) {
  await Sentry.captureException(
    stackTrace: stackTrace,

You can simulate an incorrect credential by changing a token value in the .env file, which should generate an issue in Sentry, alerting team members.

You can also send Sentry debug information in the form of strings using:

await Sentry.captureMessage('Something went wrong');

Likewise, Sentry can help in a handful of ways for performance monitoring in production.

To help observe routing and widget performance, add navigatorObservers : [SentryNavigatorObserver()] to your main application widget, for example:

  Widget build(BuildContext context) {
    return MaterialApp(
        title: 'To Dos',
        navigatorObservers: [SentryNavigatorObserver()],
        home: ChangeNotifierProvider(
          create: (context) => AppState(),
          child: ToDoList(),

This application calls lots of HTTP APIs. One of those responding slowly will degrade the performance of the application. Sentry can monitor HTTP requests using the SentryHttpClient class instead of the default. For example:

var client = SentryHttpClient(networkTracing: true);

try {
  final trelloResponse = await client.get(_trelloURL);} catch (exception, stackTrace) {
  await Sentry.captureException(
    stackTrace: stackTrace,
} finally {

await trelloTransaction.finish(status: SpanStatus.ok());

Over time this generates a performance report in Sentry, giving you an idea of what is “normal” performance and what is not. The performance page also shows failure rates, so it is an alternative way to detect errors with API calls.

Other useful features are adding screenshots of the UI state at the time of an error. This is particularly useful for a UI-heavy language such as Flutter. To do this, wrap your application in a SentryScreenshotWidget and make your application a child:

appRunner: () => runApp(
    child: ToDoapp(),

And add options.attachScreenshot = true; to your Sentry await SentryFlutter.init method.

Finally, reflecting the DevTools widget inspector tree view, you can also send the view hierarchy to Sentry as a JSON string which Sentry then renders on an issue. To do this, add options.attachViewHierarchy = true; to your Sentry await SentryFlutter.init method.

Next steps

My application is far from complete. I have yet to add essential services such as Jira integration, some middleware to handle the different services, a proper UI, or get the application working properly outside of the browser. But out of all the programming languages I have worked with, Dart and Flutter have the best-integrated tooling I have used. It can take time to discover the full depths of features it offers, but it’s worth it for you and your application.

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