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description: A large share of AI-built MVPs are hitting predictable failure modes once real users arrive. The breakdown follows a consistent sequence: auth and access...
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# The Vibe Coding Hangover: What Actually Happens After Your AI-Built MVP Meets Real Users

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 1 upvotes · 0 comments

## Summary

A large share of AI-built MVPs are hitting predictable failure modes once real users arrive. The breakdown follows a consistent sequence: auth and access control gaps (88% of audited apps had row-level security disabled), opaque technical debt nobody on the team can explain, concurrency issues that only surface under real load, and valuation discounts from investors who now scrutinize AI-era security controls. The piece argues that most of these apps don't need a full rewrite — they need a structured engineering audit focused on access control, concurrency testing, and code comprehension. The recommended approach is to use AI tools for speed, then apply a deliberate human-led pass on auth, payments, and anything touching other users' data before scaling.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@media_52930/the-vibe-coding-hangover-what-actually-happens-after-your-ai-built-mvp-meets-real-users-f20af1adc39e>

## Questions this post answers

### What percentage of vibe-coded apps have row-level security disabled in their database?

An audit of 50 vibe-coded apps across major platforms in early 2026 found that 88% had database row-level security entirely disabled, not merely misconfigured. This means any query could return any record with no enforcement at the database level, since nobody had explicitly asked the AI tool to restrict access to other users' data.

_Teams shipping AI-built MVPs can track this kind of security gap coverage on daily.dev before it becomes a costly rescue project._

### How much can security and privacy risk reduce a startup's valuation?

Regulatory, privacy, and technical risk signals can compress an AI-era startup's valuation multiple by 15 to 30 percent, according to independent 2026 analysis, and discounts stack further when a company also shows heavy model dependency combined with a thin data moat. Investors increasingly ask founders to show security controls during diligence or accept the lower valuation.

_Founders weighing AI-assisted development tradeoffs can follow diligence and valuation trends like this on daily.dev._

### Do vibe-coded apps need a full rewrite to fix security and stability problems?

No, most vibe-coded apps do not need a full rewrite. Rescue engineering teams instead run a structured checklist: audit row-level security and access control file by file, produce a human-readable map of what the AI actually built, run load and concurrency testing before scale, and separate low-stakes internal tools from anything touching auth, payments, or other people's data.

_Engineers cleaning up AI-generated codebases can find practical rescue-engineering approaches like this on daily.dev._

---

Tags: [#security](https://daily.dev/tags/security), [#vibe-coding](https://daily.dev/tags/vibe-coding), [#technical-debt](https://daily.dev/tags/technical-debt)

[View this post on daily.dev](https://daily.dev/posts/the-vibe-coding-hangover-what-actually-happens-after-your-ai-built-mvp-meets-real-users-6ssmuvluv)

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