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Organisations adopting AI for software development should measure whether it improves delivery and business outcomes, not just count lines of code or pull requests. An O’Reilly Radar essay argues that anecdotes and those easy-to-count metrics can give a misleading picture of AI’s value.
Why it mattersThe essay outlines a four-part series on assessing delivery speed, unintended consequences and business impact. A useful reminder: more code is not the same thing as better results, however satisfying the graph may look. What should companies count when judging whether AI is actually helping their software teams?
Discuss: Should companies judge AI coding tools mainly by delivery speed, business outcomes or the unintended consequences they create?
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