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The article is a product-event recap from Jellyfish, an engineering-analytics vendor, about measuring the impact of AI on software teams. It cites a survey finding that most organizations see AI gains but fewer than half can measure them. Its claims about new features and the "AI-native SDLC" are vendor framing, so readers should look for independent evidence before accepting them.
Sources coveringJellyfish, Wired, LessWrong, METR

AI Impact Week Day 2: Stop guessing. Start measuring.

Jellyfish11 min read

The post AI Impact Week Day 2: Stop guessing. Start measuring. appeared first on Jellyfish.

Measure AI Impact: Where do I stand? Catch up on the product keynotes, AI research trends and AI impact talks with industry leaders. Day 1 asked the questions. Day 2 answered them. I’ve been a huge advocate for the power of Jellyfish to give engineering leaders the best tools to communicate engineering impact for years. So I’m thrilled to recap the tremendous launches our engineering team shared today. We plan to support you through the biggest transformation most of us have ever experienced. Yesterday’s sessions hit on the gaps between AI adoption and AI impact. Almost every developer is using AI now, and very few engineering leaders can say what it’s worth. At the end of the day, Andrew promised the Jellyfish R&D team would show how we’re closing that gap, live. Today they did. I know, because I got to cheer on so many of my teammates sharing the fruits of their hard work to help make sense of all the change! In our State of Engineering Management report, most orgs said they’re seeing real gains from AI. Less than half said they can measure those gains in any real way. In our State of Engineering Management report, most…

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