Systems | Development | Analytics | API | Testing

Namespace, Avrea, and Blacksmith are among the fastest GitHub Actions runner providers on the market right now. According to Avrea's August 2026 benchmarks, they all score within about 1% of each other on raw CPU. The same benchmark shows warm builds (populated cache) beating GitHub's default cold start (cache disabled) by anywhere from 5x to more than 140x, depending on the project.

Memory leaks are the bugs that really creep up on you. One minute your app is running perfectly, then suddenly it slows to a crawl or crashes. We don’t get a warning with memory leaks, so we need to prepare proactively and be ready when they hit. This means we need to: This guide is here for all of that.

Apple's iOS 27 release marks another significant shift in the mobile landscape. Beyond new features for iPhone users, it signals a familiar pressure point for QA and development teams: the clock starts ticking the moment the update goes live, and your apps need to be ready. Here's why that matters: nearly 80% of iPhone users adopt the newest iOS version almost immediately. That high adoption rate leaves little room for error. If your app breaks on the iOS 27 release, your customers notice fast.

Every iOS team is about to hit a testing cycle they can't skip. And waiting until production is the expensive way to find out.

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.

Count how many times you’ve proudly submitted a new PR only for CI to fail for the most mundane and annoying reasons: While these lint rules are useful and important to enforce, would it be possible to just…not have to deal with them? Enter auto-fixing CI, the concept of self-healing PRs and CI workflows, without any human (or agent) interaction: The key detail that enables all of this to work: modern linters can apply trivial and mechanical fixes to most lint violations.

Most AI coding tools run in a Linux container somewhere. Codespaces is Linux. Copilot’s coding agent works in an ephemeral, Actions-powered Linux environment. Nearly every agent framework assumes a container that spins up in seconds. None of them can build your iOS app, or have build cache to speed up the builds, or have simulators that can run tests that you can view.