App Store Review Automation

Apple · App Store & iTunes · Developer

Project Summary

I built internal App Store tooling focused on two things: shipping higher-quality apps to customers, and helping teams move faster without sacrificing rigor. The work spanned internal web tools, pipeline integrations, and automation systems that made review workflows more consistent, more observable, and less manual.

Highlights

1. Internal tools used by multiple App Store teams
   Built and shipped software used by groups like App Review and Editorial to make decisions faster, reduce friction, and raise confidence in releases—without adding process overhead.
2. Autonomous app review on real devices
   Created systems that could take an app submission, deploy it to real device farms, and autonomously explore the product to generate structured signals for the review pipeline—surfacing behavior, stability, and feature coverage at scale.
3. Actionable outputs, not just “tests passed”
   Focused on producing artifacts humans can trust: clear summaries, reproducible steps, and data that fit into review operations (including support for automated outcomes when appropriate).
4. Hackathon prototype that seeded App Clips
   Won an iTunes hackathon with a prototype exploring the “instant, lightweight app experience” idea space—work that informed what became App Clips.

Why it matters (for clients)

This is the kind of work you want when the stakes are high: complex systems, high throughput, real users downstream, and no margin for sloppy UX or unreliable automation.

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