Programming can be faster when algorithms help out, but there is evidence AI coding assistants also make bugs more common.
On the face of it, that’s an impressive picture of a novel technology quickly proving its value. Any technology that enhances productivity andof less skilled workers could be a boon for both individuals and the wider economy. GitHub goes on to offer some back-of-the-envelope speculation, estimating that AI coding could boost global GDP by $1.5 trillion by 2030.
But GitHub’s chart showing programmers bonding with Copilot reminded me of another study I heard about recently, while chatting with , a professor at the University of Illinois at Urbana-Champaign, about coders’ relationship with tools like Copilot.that looked at how using a code-generating AI assistant they built affects the quality of code that people produce. The researchers found that programmers getting AI suggestions tended to include more bugs in their final code—yet those with access to the tool tended to believe that their code wassecure.
When you consider the nature of programming, that finding is hardly surprising. As Clive Thompson wrote in a, Copilot can seem miraculous, but its suggestions are based on patterns in other programmers’ work, which may be flawed. These guesses can create bugs that are devilishly difficult to spot, especially when you are bewitched by how good the tool often is.
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