Every no-code application builder pitch sounds the same: ship faster, need fewer developers, democratize software creation. What the pitch leaves out is the list of things you hand over when you sign up. This isn’t an argument against no-code. It’s an argument for knowing exactly what you’re trading before you commit production workloads — and […]

Enterprise AI is beginning to follow a very familiar pattern. First comes experimentation. Then adoption. Then fragmentation. Then operational chaos. Then eventually, somebody builds the management layer. That exact cycle happened with cloud infrastructure. It happened with SaaS. It happened with mobile devices. It happened with APIs. And now it is happening again with AI

A few years ago, “shadow IT” meant somebody in marketing buying a SaaS tool without telling procurement. Now it means somebody in marketing deploying software. That is the real story behind this WIRED investigation into thousands of exposed vibe-coded applications built using tools like Lovable, Replit, Base44 and Netlify. Most people reading the article will

Your Head of Finance built a budget variance tool in Claude three months ago. It pulls live data from your ERP. IT found out about it last week. Down the hall, your Marketing Ops lead has a campaign attribution model running through an API key she set up herself. Your VP of Sales is scoring

On top of the Vercel security breach yesterday, the AI Vibe coding platform Lovable security issues are coming up again. In the last month, the tech world has been rocked by reports of significant Lovable security issues. As “Vibe Coding”—the process of building full-stack applications through natural language conversation—takes the industry by storm, a glaring

AI Sprawl is happening, and IT needs control Most people will read the Vercel breach as another isolated security issue. It’s not. It’s a clear example of how AI tools are quietly getting embedded into core systems — and how little visibility most organizations actually have into those connections. What actually happened (in plain terms)

Every mobile app building software vendor publishes customer success stories. Nobody publishes honest performance benchmarks, real migration cost data, or the failure rate of projects built on their platform. This post fills that gap as much as publicly available data allows — and names clearly when the available data has limits. The goal: give you

Solo founders face a version of the mobile app creation problem that team-based guides don’t address: you have limited time, limited budget, no engineering co-founder, and you need to ship something real without building a dependency on a developer you can’t yet afford. The software you choose has to work with those constraints — not