Why security is paramount for entrepreneurs in the vibe coding era (www.techradar.com)

“Vibe coding” — heavy reliance on AI to generate application code — is accelerating startup pace: early‑2025 data show 25% of Y Combinator startups had over 95% AI‑generated code and 34% of no‑code solopreneurs became profitable within six months. That rapid prototyping lowers cost and time-to-market, letting entrepreneurs test many ideas with less capital and extend runway. But the same forces that democratize development also hide systemic risks: LLMs are trained on public source code (e.g., GitHub), pulling in poor‑quality or malicious patterns and introducing risky dependencies and supply‑chain vulnerabilities as products move from demo to production. Security implications are concrete and urgent. Bad actors already exploit AI workflows via remote code execution (RCE) and npm‑style supply‑chain attacks; industry estimates indicate roughly 80% of AI‑suggested dependencies carry risks. Manual review can’t scale, yet augmenting AI coding agents with security tooling markedly improves outcomes — safe dependency recommendations climb from ~20% to ~57%. The takeaway for founders: vibe code for ideation, but invest early in security guardrails, dependency scanning, and expert review before launch to avoid technical debt, breaches and loss of customer trust. Treat security as foundational, not optional, if you intend to scale beyond prototypes.