Opportunity: the AI devops engineer
When everyone can vibe-code their own tools, the bottleneck shifts from features to stability. The opportunity is an AI engineer that monitors your platform 24/7 — and knows when to wake you up.
In a world where every business can vibe-code its own software, features stop being the bottleneck. Stability does.
Building an internal tool is getting trivially easy. Keeping it running reliably is not. Uptime, monitoring, bug triage, incident response, that’s where the real pain lives. And most small businesses can’t justify a full-time devops hire for their handful of custom tools.
Here’s what I think should exist: an AI devops engineer monitoring your platform 24/7.
Not a dashboard. Not an alerting system. An actual reasoning agent that catches bugs, analyzes root causes, and creates pull requests to fix them. One that has very clear, very strict permissions, so you always know your data won’t be touched. One that escalates intelligently, only waking you up at 3 AM when it genuinely matters.
An AI engineer you can yell at the next morning when it turns out the midnight alert was a stupid typo. One that apologizes, learns, and adjusts its threshold.
But it goes deeper than firefighting. The real value is in the long view. An AI devops engineer that tracks bugs over time, spots structural patterns, and brainstorms with you: why wasn’t this caught in testing? Why does this endpoint keep failing? What architectural weakness keeps producing the same category of incident?
Self-healing systems are the dream. Bugs automatically caught, analyzed, fixed. But even short of that dream, there’s enormous value in a tireless, always-on engineer that handles the grunt work of keeping software alive.
That’s a startup waiting to be built.