A Critical Look at AI-Generated Software

Coding with ChatGPT, GitHub Copilot, and other AI tools is both irresistible and dangerous

In many ways, we live in the world of The Matrix. If Neo were to help us peel back the layers, we would find code all around us. Indeed, modern society runs on code: Whether you buy something online or in a store, check out a book at the library, fill a prescription, file your taxes, or drive your car, you are most probably interacting with a system that is powered by software.

And the ubiquity, scale, and complexity of all that code just keeps increasing, with billions of lines of code being written every year. The programmers who hammer out that code tend to be overburdened, and their first attempt at constructing the needed software is almost always fragile or buggy—and so is their second and sometimes even the final version. It may fail unexpectedly, have unanticipated consequences, or be vulnerable to attack, sometimes resulting in immense damage.

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