Systems | Development | Analytics | API | Testing

GitHub Actions is one of the best CI/CD platforms available today. For web apps, backend services, and infrastructure automation, it’s hard to beat. Deep GitHub integration, a massive marketplace of community actions, flexible YAML-based workflows, and a pricing model that’s generous for open-source projects. There’s a reason it dominates. But if you’re building mobile apps, especially for iOS, GitHub Actions starts to fight back. Not because it’s a bad tool.

Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.

If you’ve shipped a React Native app to production, you already know the feeling. A bug surfaces. Users are reporting it. Your fix is written, tested, and ready to go. And then you wait. Two days. Sometimes three. Occasionally five. App Store review doesn’t care that your ratings are dropping or that your support queue is filling up. It moves at its own pace, and your users experience every hour of the delay. CodePush over-the-air (OTA) updates change that equation entirely.

A customer pings support: “I tried to check out twice this morning and got a 500 each time, but it works fine for everyone else.” The session ID is in the email. You have full request/response capture in your environment, you have Datadog Synthetics already running browser checks against the same flow, and you still spend the next two hours grepping logs because none of those tools let you say “show me just this user’s requests, in order, and re-run them.”