Join 5,901+ iOS/macOS developers using Codex and agents to build and ship apps. Expect practical tutorials, repeatable workflows, and hard-earned lessons from 7 shipped apps and time at Apple, Microsoft, and GoPro.
Gemini 3 Pro vs. ChatGPT 5.1 Pro vs. Grok 4.1 (and Codex 5.1 Max!)
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It'll take some time, but I have some early thoughts in the video below . . . Watch my live demo with each of these new tools. It's unedited, so you'll see exactly how I work, and all the failure points. (Spider warning ... I show off my spider apps in this video) I cover:
This video is my first time using all of these new tools. I didn't plan anything other than trying to see if AI can solve this one tricky prompt. You'll see exactly what happens as we wait for code and test it live. Want to learn with me on a weekly basis and finally publish your app on the App Store? Join the waitlist for the App Launch Community here (ETA: January 2026). I'll be showing what works and helping people in the community make huge progress towards their app goals. Join the waitlist if you want to learn how to sell a product and earn side income. Danergous Spider App I'm working on a dangerous spider app using Machine Learning (ML). If you're interested in learning about spiders, Core ML, Create ML, image classifiers, or image detectors, I can send you the beta. Want to try the spider app beta? Reply and I'll send you the TestFlight beta invite. I'm using AI to build all of these tools:
Codex is great for prototyping. It's way better than Claude Code (which is why you don't see that in the video). I used to use Claude Max, but stopped after it became super frustrating to use. (It lies about doing work or tests, so I can't trust it to finish tasks without babysitting 100%). Codex is more truthful and honest (not always, but overall). Create ML - Machine Learning Create ML is the training tool I'm using to create my initial MVP image classifiers and object detectors. It's Apple's harness for building intelligence into your apps. At some point that may change, but it's a great visual starting point. You can write your own training code in Swift when you need more control (which I imagine I'll be doing soon). In the image above you can see a simple Object Detector model I trained on 914 spider images that I annotated with RectLabel (macOS). I plan to train a new model on 10,000+ images in the near future to improve accuracy. Talk to you soon, Paul Solt |
AI Code Brief - Paul Solt
Join 5,901+ iOS/macOS developers using Codex and agents to build and ship apps. Expect practical tutorials, repeatable workflows, and hard-earned lessons from 7 shipped apps and time at Apple, Microsoft, and GoPro.
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