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How 4 Engineers Built Sora for Android in 28 Days Using Codex

OpenAI Blog · Jul 11, 2026 · 1 min read · Read original article →

Curated by the Inblix editorial team


When Sora launched on iOS, demand exploded. The Android team had just a prototype and a ticking clock: millions of pre-registered users were waiting. Instead of throwing bodies at the problem, a lean team of four engineers used Codex to ship the production Android app in just 28 days. They consumed about 5 billion tokens from an early version of GPT‑5.1‑Codex—the same tool available to all developers. The result? A 99.9% crash-free rate, an app that hit #1 on the Play Store, and over a million videos generated in the first 24 hours. The team treated Codex like a newly hired senior engineer: it handled the heavy lifting, but humans still had to guide architecture, strategy, and user behavior. The key insight? Adding more people slows you down; but giving a small, sharp team superpowers accelerates everything. Why it matters: This case study proves that AI-assisted development isn’t just for demos—it can produce production-grade, consumer-scale apps in weeks, not months, reshaping how we think about software delivery timelines.

💡 Key Takeaways

  1. A team of just four engineers shipped a production Android app in 28 days by leveraging Codex to amplify their output rather than adding more developers.
  2. Codex excels at generating code quickly but still requires human oversight for architecture, product strategy, and understanding real user behavior.
  3. The app achieved a 99.9% crash-free rate and hit #1 on the Play Store, proving AI-assisted development can meet high production standards under extreme time pressure.

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