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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.

Selecting load testing tools for your CI/CD pipeline is a lot like picking between a scalpel and a Swiss Army knife. A scalpel – the focused, specialized solution – excels at one job with surgical accuracy. Think of Apache JMeter or Gatling: these tools are designed for deep, targeted testing, offering powerful scripting and low-level protocol support. They let you dial in precise scenarios and slice through performance bottlenecks with fine control.

If you are a React Native engineer, your job isn’t typically about maintaining infrastructure. So “self-hosted OTA” can sound like a trap. Even if your Expo Update bill is hitting six figures, it’s easy to assume that self-hosting isn’t worth the potentially huge time sink. That fear is understandable, but it doesn’t have to play out that way.

Self-hosting OTA updates became common after App Center and CodePush shut down in 2025. CodePush had been the popular free option, but the remaining hosted services easily hitting five or six figure bills for popular apps. For staging-only or use with small user bases, self-hosting is fairly straight forwards. But, as the user base grows, the architecture can start to struggle and bolt on pieces are required.

React Native OTA tools in 2026 split across two clients, Expo Updates and CodePush-style, and two ways of running them, hosted or self-hosted. The clients are not interchangeable. You still need the matching SDK.

GitHub Actions is the default CI/CD tool for most teams. The runners underneath it, the actual machines your jobs run on, are where the pain shows up. Standard GitHub-hosted runners are slow for heavy repos and complex workflows. The faster ones are gated behind Team and Enterprise plans. GitHub Actions pricing is also notoriously hard to understand, especially for macOS.

When a build fails, the tests are the easy part. Here's how to implement AI root cause analysis so engineers stop losing hours to logs and diffs.

Flaky tests erode trust in the pipeline one rerun at a time. Learn why tests flake, how to tell a flaky test from a real regression, and how to fix the root cause instead of just hitting rerun.