Using AI for CI & Automation in iOS Projects

Welcome to using AI for CI and automation in iOS projects.

In this module, we’ll take the AI review work you have already been doing and put it on the pipeline. Early in the program, you used Claude inside Xcode and Cursor as an editor outside Xcode. Those two are powerful when you are sitting at the keyboard. You ask a question, shape a change, and read the answer yourself. They still require you to start the conversation.

Here, the goal is different. The review should run on its own on every pull request as an ordinary continuous integration step. A human reviewer still makes the merge decision. The agents give them a consistent first pass before they begin.

That means new tools. GitHub Copilot will do the first automated review. Later lessons add Claude Code and OpenAI Codex as GitHub Actions. Those are not the Claude in Xcode or Cursor setups you already have. The written instructions tell you briefly what to enable and which secrets to add.

There are three lessons. First, we wire a single agent into iOS CI pipeline and look at how much context a typical review uses. Second, we run the same pull request through more than one agent and practice triaging the comments. Third, we add the controls that keep token usage proportional to risk, and we close the loop, so yesterday’s triage improves tomorrow’s review.

When you’re ready, continue to the written introduction, and we will start with what agentic review means as a CI step. Thank you.