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Models can generate thousands of lines of code in minutes. But ambiguous specs produce ambiguous software. The difference between a demo and a production system is the quality of what goes into the machine.
The bottleneck in software development has moved. For decades, it was implementation — finding engineers, managing sprints, shipping faster. That problem is now solved by AI. What remains is harder: telling the machine exactly what to build, verifying that it built the right thing, and knowing when to trust its output.
