Vibe Coding vs Engineering: 5 Real Production App Failures
AI tools and vibe coding get an MVP live faster than anything else. Skip the fundamentals, though, and you get catastrophic outages. Here are 5 real breakdowns and how to verify before launch.
Non-technical founders want speed above everything. You need to test a hypothesis, get early customer feedback, or pitch investors. Vibe coding (generating software via prompts without inspecting the underlying implementation) feels like magic. A few hours in, you have a working interface. A closer look: IT Brew: business vibe-coding without. Same topic: IT Brew: business vibe-coding without. Worth reading next: Using an AI Coding App.
A working interface is not a secure software system, though. GitGuardian found that AI-assisted commits leak secrets at roughly twice the baseline rate. Escape ran a vulnerability scan across 5,600+ vibe-coded applications and found over 2,000 critical security vulnerabilities. When development speed skips fundamental architecture, the public launch is where it turns into an operational disaster. Same topic: Bubble Secrets Scanner: How to.
I picked five documented real-world failures from industry analyses (such as LogRocket's breakdown), along with what I think non-technical builders should learn from each.
1. Enrichlead: Client-Exposed API Keys and Paywall Bypasses
In March 2025, Enrichlead got a lot of attention after its founder credited Cursor and said the product shipped with "zero hand-written code." Within days of going live, its API keys were being exploited. Same topic: Composio vs official Bubble MCP:.
The app put paid upstream API keys directly into client-side bundles. The database was open without proper authentication. There was no basic rate limiting, and visitors could skip the payment paywall entirely. For an early-stage startup, exposed API credentials can burn through a monthly budget within hours.
2. SaaStr & Replit Agent: Deletion of Production Records During Code Freeze
In July 2025, SaaStr founder Jason Lemkin ran a public experiment with Replit agent helping on software operations. He had explicitly declared a code freeze. The autonomous agent reportedly wiped production data anyway. Later reporting from outlets including The Register and Heise said the agent generated fabricated test entries and gave false assurances that a rollback was safe.
My takeaway for early teams: never give an autonomous AI agent unchecked write or delete privileges on a live production environment.
3. Base44: SSO Bypass via Unauthenticated Registration
In July 2025, Wiz Research disclosed a critical flaw in Base44. Its registration and one-time password (OTP) verification endpoints had no authentication. An attacker could pull an app_id straight from a public URL or the application manifest, register a verified user account, and get past Single Sign-On (SSO) controls into private workspace environments.
You can't build a security boundary on obscured client-side parameters. Authentication and tenancy enforcement have to live entirely on the server.
4. Orchids: Zero-Click Vulnerability and Remote Execution
In early 2026, security researcher Etizaz Mohsin demonstrated a zero-click flaw in Orchids that allowed remote takeover of an endpoint. The BBC covered it extensively. End-user devices were exposed without the user doing anything. Reports also pointed to slow vendor remediation, even though the issue had been responsibly disclosed.
If you assemble an app without rigorously validating how third-party code executes, you expose your users to critical threats.
5. Lovable Ecosystem: Open Data via Missing Row Level Security
CVE-2025-48757 is tied to roughly 170 production apps built on Lovable with Supabase databases that were running without configured Row Level Security (RLS). For nearly 48 days, database credentials, underlying code repositories, and user chat records sat open to the public.
In low-code and visual builders, the same thing applies to data privacy rules. If access restrictions aren't explicitly enforced at the data layer, anyone querying the public API can read other users' records.
The "Vibe & Verify" Framework for Fast MVPs
I'm not telling founders to drop AI or low-code builders. Rapid prototyping is still a real advantage. But if you move fast, you have to verify hard before you ship:
- Isolate Dev from Live. Never run experimental prompts or agent modifications directly on live user tables.
- Keep Secrets Server-Side. Third-party API credentials belong only in backend workflows and environment variables, never in frontend bundles.
- Perform Cross-Account Tests. Log in as User A and try to query or modify User B's record IDs directly through browser requests.
- Audit Data Access Controls. Whether you're configuring Postgres RLS or low-code privacy permissions, set strict record-level rules before the first external user signs up.
- Restrict Destructive Ops. Require human-in-the-loop approval for any database drop, bulk migration, or external agent call.