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Flux has updated its platform to provide engineering leaders with metrics that distinguish genuine AI-driven productivity gains from mere activity noise like ticket volume or sprint velocity. By analyzing code directly, the tool addresses specific blind spots such as "velocity theater" and review debt to determine if investments in AI coding assistants are actually improving delivered value.
Flux expands its platform to show whether AI coding investments are paying off
Code-first engineering intelligence startup Flux Cyber Inc. today expanded its platform with tools meant to show engineering leaders whether their investment in artificial intelligence for software development is paying off. The release takes on a problem Flux says has come up again and again with engineering leaders over the past year. Adoption is easy enough […] The post Flux expands its platform to show whether AI coding investments are paying off appeared first on SiliconANGLE.
Code-first engineering intelligence startup Flux Cyber Inc. today expanded its platform with tools meant to show engineering leaders whether their investment in artificial intelligence for software development is paying off. The release takes on a problem Flux says has come up again and again with engineering leaders over the past year. Adoption is easy enough to show. What most of them still report upward, according to the…
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