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AI Software Development – What Does The Data Say? (codemanship.wordpress.com)

submitted 1 day ago* (last edited 1 day ago) by rimu@piefed.social to c/programming@programming.dev

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studies show a clear trend – output is up (more code, more commits, bigger diffs), but outcomes don’t reflect that trend. If anything, the average team is taking longer to ship worse software

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[–] jerakor@startrek.website 3 points 1 day ago

This is a tale older than AI. Most of the AI productivity pushes I struggle to get adopted fail not because of AI bad or its too hard to do. They fail because of a broken CI/CD pipeline. They fail because some team thinks their process is sacred and unique.