Ray Fernando argues that an AI system generating tens or hundreds of thousands of lines does not make that code ready to ship. Ray Fernando says teams confuse output volume with verified value when they describe coding productivity as ten or one hundred times greater.
Ray Fernando uses a migration affecting billions of users to explain why high stakes changes still demand assurance. Ray Fernando connects inflated expectations with overwork and regressions rather than assuming every generated change becomes productive output.
Ray Fernando recommends planning around a more realistic two to three times improvement. Ray Fernando argues that calibrating delegation to that level can support healthier workloads, more dependable releases and fewer bugs.
Watch on YouTube
