We audited 8 AI-built apps for production. The frontend was fine, the trust boundary wasn't.

UpdatedJuly 7, 2026

We built a free agent skill called ship-ready — it reads an AI-built app and writes a file-cited plan for what's missing before real users hit it. Then we pointed it at 8 real apps built by AI tools (Lovable/Bolt/Cursor-class): five web apps, three mobile. Dashboards, an invoicing app, an AI email tool, a multiplayer whiteboard, a recipe site.

The results were remarkably consistent, and not in the way you'd guess. The design was good. The data layer was usually right. The thing that was broken — over and over — was the boundary between the browser and the backend.

Here's what showed up across all 8.

This is an excerpt. Read the full post at otf-kit.dev/blog/production-readiness-audit-8-ai-apps — full-stack kits your AI coding agent can actually ship to production. Browse the kits →

#ai-tools #backend #agents

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OTF — kits your AI coding agent can ship to production

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Engineering notes on shipping production apps with AI coding tools — Claude Code, Cursor, Codex, Lovable, Bolt — and the stack underneath: React Native, Expo, Next.js, Supabase. Honest takes on what works, what breaks, and the full-stack kits that get you to production faster. By OTF.

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