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Remote debugging using IntelliJ IDEA offers several benefits. Using this JetBrains IDE, you get interactive breakpoints, variable inspection, and debugging integrated directly with the IntelliJ editor. However you can also introduce configuration complexity and potential security risks if you don’t get it right. IntelliJ has become a favorite of the Bugfender team and in this post we’ll walk through the full setup, from the JVM flag to debugging inside a Docker container.

An app crash is one of the fastest ways to drain both users and rankings. Many users will uninstall an app after just one crash, and both the App Store and Google Play will penalize crash-prone or unstable apps. At Bugfender, we’ve been investigating app crashes since 2014. In this post we’re going to share all our key learnings, so you can: You’ll come away with a reliable, repeatable way to anticipate app crashes – wherever they happen. This post is generally platform-agnostic.

Progressive Web Apps (PWAs) combine the reach of the web with many native app capabilities. Users get an app-like experience without the traditional app-store download process, while developers can build and maintain experiences from a shared web codebase. This doesn’t mean PWAs are simple to build, however. They must provide a reliable experience across different browsers, devices and network conditions.

Debugging is an essential skill that allows software developers to prevent crashes and maintain reliable code. Virtually all applications run into bugs at some point, due to logic errors, unexpected inputs or system interactions. It’s vital that we have effective tools and processes to resolve them. This guide will give you a step-by-step guide to debuggging, highlighting common error types with practical means to resolve them.

Android app crashes will cost us users and damage our Play Store ranking. To prevent them from happening, we need to understand the most frequent causes of crashes, read the stack trace effectively, and have plans for common painpoints such as null values. This article will give you the tools to do that.

Static site generators have never been more relevant. AI search tools favor fast, pre-rendered content. Hosting costs are near zero. Build tooling has matured to the point where shipping a production-ready static site takes hours, not weeks. But while the benefits of SSGs are clear, choosing the right SSG for your business can be much more tricky. There are lots of competing options, all with their own pros and cons.

An effective JavaScript debugging process is vital for any web developer. Over 95% of the web is built with JavaScript code, but the language carries its own distinct challenges due to its unique runtime model. This guide will help you master these challenges and become truly fluent in the Internet’s first language. You’ll learn about: You’ll leave with a process that works in any case, no matter how edgy.

Swift arrays are one of the most commonly used collection types in iOS and macOS development. They provide ordered, type-safe storage for values and include powerful higher-order functions such as map, filter, reduce, and sort. With value semantics, copy-on-write optimisation, and a rich set of built-in operations, Swift arrays make it easier to write safe, efficient, and expressive code. This guide will empower you to master the basics of Swift arrays and explore all the functionality they provide.

Android app crashes are a nightmare for developers. But they rarely come out of the blue. Most crashes stem from structural causes like leaky memory or sloppy resource management, and most failures will have a root cause that surfaces in either logcat or the stack trace. This post will give you a true Android crash course, showing you the tell-tale signs and the tried-and-tested fixes that work across devices, territories and app utilities.

At its simplest, AI debugging automates repetitive coding tasks like searching logs, reading stack traces and comparing sessions. But good AI debugging is a much more challenging concept that relies on focused context, runtime evidence and structured investigation paths. In this post we’ll show you how to debug with AI, not just productively but also responsibly. Let’s get into it.