AI needs a flight school
In the late 1960s, elite Navy pilots began losing dogfights. The deep, instrument-level understanding of exactly where they were, what their aircraft was doing, and what was coming next had been automated. And when moments of crisis arrived, they didn’t have the situational awareness to respond. Put a plane on autopilot long enough, and the pilot stops actually flying. The same dynamic is playing out across enterprise software. AI is generating code faster than developers can understand it, and leaders are celebrating the velocity without asking who’s actually flying the plane. A developer who has only ever “vibe coded” has perception at best. They can “see” the outputs but can’t fix any internal failures caused by the very AI systems they’re relying on. The easiest thing to do is to say the answer looks good enough. Cut and paste it in and hope it works out. According to Model Evaluation & Threat Research’s randomized control trials, experienced developers working with AI tools actual