Your Stack Choice Is Coding Agent's Safety Net

We're in the "vibe coding" era. AI coding agents — Cursor, Claude Code, Copilot, Devin, and their growing kin — are no longer writing toy snippets. They're scaffolding entire features, refactoring modules, and wiring up API endpoints in seconds. The promise is intoxicating: describe what you want, get working code. The reality is more nuanced. These agents are prolific, but not infallible. They hallucinate API signatures. They skip edge cases. They introduce subtle bugs that compile cleanly and pass a first glance. And crucially, they do all of this fast — far faster than any human code review can keep up with. So here's the question that matters more than ever: what catches the mistakes an agent makes? We Need a New Way to Evaluate a Stack For years, we've chosen tech stacks based on developer experience, ecosystem maturity, performance characteristics, and hiring pool. These criteria still matter. But a new dimension has entered the picture: how well does the stack constrain and veri