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Study finds AI tools made open source software developers 19 percent slower - Ars Technica
Coders spent more time prompting and reviewing AI generations than they saved on coding.
The AI wasn't able to utilize "important tacit knowledge or context" about the codebase, the researchers note, while the "high developer familiarity with [the] repositories" aided their very human coding efficiency in these tasks. These factors lead the researchers to conclude that current AI coding tools may be particularly ill-suited to "settings with very high quality standards, or with many implicit requirements (e.g., relating to documentation, testing coverage, or linting/formatting) that take humans substantial time to learn." While those factors may not apply in "many realistic, economically relevant settings" involving simpler code bases, they could limit the impact of AI tools in this study and similar real-world situations.
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