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title: What I Look for Before Trusting an AI App Builder With a...
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# What I Look for Before Trusting an AI App Builder With a Real Project

**[Dev World](https://daily.dev/sources/dev_world)** · [@hadilbenabdallah](https://daily.dev/hadilbenabdallah) · 2 upvotes · 0 comments

## Summary

A developer lays out a due-diligence framework for evaluating AI app builders like Floot before trusting them with a real project, rather than reviewing the product directly. Floot, a YC-backed AI app builder, offers two paths: an MCP connector (used inside Claude, ChatGPT, or Cursor, where your own assistant does all the building with no second AI review layer) and a separate in-app editor with a multi-pass AI agent. Six concrete tests are proposed: user isolation between accounts, server-side auth enforcement, data persistence, error handling, deployment from a second machine, and whether exported code actually builds independently. The piece notes Floot's export docs candidly warn that platform-injected services will break exported builds unless manually replaced, and flags open questions around security audits and performance benchmarks that remain unaddressed publicly. The author invites readers who've used Floot or competitors to share what broke first in real usage.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dev.to/thebitforge/what-i-look-for-before-trusting-an-ai-app-builder-with-a-real-project-4h27>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#webdev](https://daily.dev/tags/webdev), [#productivity](https://daily.dev/tags/productivity), [#authentication](https://daily.dev/tags/authentication), [#mcp](https://daily.dev/tags/mcp), [#vibe-coding](https://daily.dev/tags/vibe-coding)

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