AI Hasn't Solved Engineering—It's Shifted the Bottleneck
Source: Mitrapunk: Engineering Game
The bottleneck in software development has shifted from writing code to validating that what you built works at scale and solves the right problem. As generative AI commoditizes initial implementation, teams investing in rigorous measurement, testing frameworks, and observability will outcompete those optimizing for shipping speed. The competitive advantage moves to engineering discipline around verification and iteration. The optimization target flips from "how quickly can we code" to "how efficiently can we learn what matters"—favoring companies with mature observability practices and disciplined measurement cultures over those chasing raw velocity.