In this episode, Laura Tacho joins Katerina to explore what really drives developer team performance. They dig into how to use self-reported and system data effectively, why metrics should never be used for individual performance, and how AI is changing developer workflows (and what it’s not doing yet). From scrappy startup practices to company-wide DevEx strategies, this episode is packed with practical ways to build healthier, higher-performing engineering teams.What You’ll Learn- How DX helps teams boost performance through developer intelligence- Why self-reported data can surface quick, actionable insights- What makes a developer survey actually useful — and how to get teams to respond- How to use system data to save time and streamline engineering workflows- Why developers already know where the friction is — and how to tap into it- How starting simple with metrics early on can build better habits as you grow- The risks of using metrics to judge individual performance — and how to avoid them- Where AI tools really stand today — more autocomplete than autonomous- How to let data guide your decisions when introducing AI tools This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ctoinsights.adevait.com

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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