Why building AI applications still means building infrastructure-first
In February 2026, Moltbook, a social network built for AI agents, learned a familiar lesson in a new way: you can’t scale AI without building the right infrastructure underneath it.
Despite rapid traction and heavy funding, the company rushed into production with parts of the stack generated by AI agents, without fully validating the infrastructure.
The cracks showed quickly. Researchers found fundamental gaps in how data was stored, accessed, and protected, allowing unauthorized posting and exposing sensitive user information.
Vibe coding, no doubt, has applications in today's software world. However, Moltbook had received millions in venture capital money and has since been acquired by Meta. This wasn’t an experiment; it was a production system handling real user data.
And that’s the point: once AI moves from prototype to production, shortcuts in architecture across compliance, data privacy, and auditability become real business risks.
The lesson here is about more than...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
