As the Kotlin language has grown, the projects built with it have become increasingly complex. And with that complexity comes new debugging headaches. Kotlin devs have to juggle a bunch of different tools, each with their own limitations, just to try and get to the bottom of performance issues, memory leaks, and architectural problems.
Debugging is fundamentally a problem-solving process with these stages:
Problem identification: recognizing that an issue exists, which can result from user feedback, automated testing, or dedicated tools.
Root cause analysis: you then must distinguish between symptoms and underlying causes, employing various strategies such as hypotheses testing, trace analysis, and state monitoring.
Solution implementation: After pinpointing the root cause, you'll typically implement a fix, often requiring modifications to the codebase or resource allocation strategies.
Verification and validation: Finally, you test your solution in the context of the application to confirm that the issue has been resolved and that no new problems have been introduce.
The Android Studio debugger is built-in, but it can be really intrusive, especially when you're dealing with highly optimized, multithreaded code.
In Android Studio, debugging typically begins with println statements to gain initial insights into issues. After this, you'd transition to Android Studio’s built-in debugger for a more interactive and effective troubleshooting process.
Once an application is deployed, debugging shifts focus from development to observing application behavior in real-world scenarios. Observability platforms provide insights into performance and help identify issues that may not be apparent during development. While they are great for monitoring production and analyzing crashes, they also often fall short when it comes to the nuanced debugging of component lifecycles and thread interactions.
The Kotzilla Platform is a debugging tool built on top of the Koin dependency injection framework, which a lot of Kotlin devs already use. So it integrates seamlessly with your existing architecture, automatically collecting all the data it needs without any extra instrumentation or overhead.
This allows the Kotzilla Platform to give you detailed, contextual insights into what's going on under the hood - things like thread performance problems, memory leaks, and structural issues caused by overly complex dependency graphs or misused component lifecycles. It helps you quickly trace those issues back to the root cause, even in live production.
The Kotzilla Platform is a pretty comprehensive debugging tool designed specifically for Kotlin developers. It offers a unified approach that bridges the gap between development and production environments, providing insights and tools to tackle the unique issues of Kotlin app development.
By using Koin's container, the Kotzilla SDK automatically collects essential data about your application's behavior without any intrusive instrumentation or performance overhead. This allows the platform to provide you with detailed, contextual insights into the inner workings of your Kotlin app.
Ok, let's talk turkey.
As discussed, one of the standout features of the Kotzilla Platform is its ability to identify and resolve issues in your Kotlin app's before they affect your users.
Want to see it in action? Let’s walk through a real-world example based on the NowInAndroid app for Koin. The following sections assume that the first two setup steps of this Getting started tutorial have already been completed.
When the main UI thread is blocked by time-intensive operations, the app can freeze or slow down, often leading to ANR (App Not Responding) events. Common causes include heavy computations or synchronous operations running on the main thread.
Screen freezes severely degrade user experience and can lead to negative app reviews, higher uninstall rates, and reduced app store rankings.
Log in to the Kotzilla Platform and navigate to your app’s Dashboard. From there, open the Sessions View to review user sessions.
By exploring the Timeline view, you can see how the delay creates a visible pause between the "started" and "resumed" states of MainActivity. This gap reveals a period where the app appears unresponsive to the user. In the Threads view, notice the delay in the initialization of the MainActivityViewModel component.
A click on this resolution shows you the detailed sequence of events in the timeline in which we can also see the impact of this delay during the loading of the MainActivityViewModel:
You can try the Kotzilla Platform here for free. We'd love to hear what you think once you have. Maybe what other features you'd like to see?