We have been here before.
In 1950, Claude Shannon published "Programming a Computer for Playing Chess," the paper that first laid out how a machine could be made to play chess at all. It was not a curiosity. It was the opening move in a decades-long contest between human chess skill and mechanical calculation. Shannon's paper did not stop people from studying chess. It did not empty the tournament halls. If anything, it sharpened the game. Players studied harder, calculated deeper, and treated the machine's eventual arrival as a horizon to train toward, not a wall to stop at.
By 1997, Deep Blue beat Garry Kasparov. The machine had, by any measure, won. And yet chess did not die. Grandmasters did not retire in bulk. Tournament chess is more popular today, decades after machines definitively surpassed human play, than it was before Deep Blue existed. Players now train with engines, study engine lines, and use machine analysis to sharpen human intuition. The competition did not end when the machine became superior. It changed shape.
Coding is having its Deep Blue moment now. Language models write functions, debug logic, and scaffold entire systems faster than most engineers can type the problem statement. The instinct to feel obsolete is reasonable. But it mistakes the nature of the contest.
