DEV post offers pre-launch security checklist for AI-generated code
11/07/2026 — 11/07, 02:18·1 sources (all)·1 reports (all)
Key takeaways
- A DEV Community post warns that apps generated with Lovable, Bolt, Cursor or Claude Code may run but are not necessarily secure. It cites a…
Background & analysis
On 11:07:50 UTC, November 2026, DEV Community published "The security blind spot of AI-generated code: a 30-minute pre-launch checklist", which lays out a pre-launch security checklist for applications produced with AI coding tools. The article claims that apps built with Lovable, Bolt, Cursor or Claude Code may run and even start collecting sign-ups while leaving security wide open: the model defaults to code that works rather than code that is safe, unless security is explicitly requested, and security requirements are easy for both the AI and the human to skip because the gaps are invisible.
Citing Veracode's 2025 GenAI Code Security Report, the piece states that 45% of AI-generated code samples contained an OWASP Top 10 vulnerability, adding that results barely improve on newer models versus older ones, though the excerpt available cuts off before the comparison is fully spelled out. The author also cites a scan of 5,600 public vibe-coded applications that turned up 2,038 high-severity vulnerabilities and 175 instances of personally identifiable information exposure, and points to CVE-2025-48757 as an example: more than 170 Lovable applications had their databases readable by anyone because row-level security was not enabled.The materials available contain no follow-up developments, so the piece currently stands as a single-voice warning backed by Veracode's figures and the author's cited scan results, with the claims attributed rather than independently verified.
AI-generated from 1 reports · updated 3 hours ago
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An app built with Lovable, Bolt, Cursor or Claude Code can work fine and still be wide open: Veracode's 2025 report found 45% of AI-generated code samples contained an OWASP Top 10 flaw, with little improvement across model generations. A scan of 5,600 public vibe-coded apps turned up 2,038 high-impact vulnerabilities and 175 exposed personal-data instances, including more than 170 Lovable apps in CVE-2025-48757 whose Supabase databases were readable by anyone.
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