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Your AI adoption numbers look great until you realize most of that code never made it to production. What you’re tracking isn’t true adoption, it's an illusion of progress.

Engineering leaders often track IDE acceptance as proof of AI adoption, not delivery. Across thousands of repositories, we consistently see this pattern: only a single-digit percentage of AI-generated code often makes it to release.
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