Ori Keren, CEO of LinearB and a pioneer in developer productivity, shares bold predictions for the future of engineering teams. He warns that as AI tools proliferate, 2025 may see a drop in developer productivity and creativity before benefits are realized. Keren discusses the importance of measurement for optimization, the clash between developer experience and productivity, and the rising need for cybersecurity. His advice for engineering leaders? Embrace data-driven, people-first strategies to navigate the upcoming changes.

The debate on measuring developer productivity has arrived - and it’s here to stay. On this week’s episode of Dev Interrupted, cohost Conor Bronsdon welcomes LinearB cofounder & CEO Ori Keren and Kelly Vaughn, Director of Engineering at Spot AI, to offer their critiques of a debate that has captured the attention of the engineering community: can you measure developer productivity?Consulting giant McKinsey published an article that ignited a firestorm, prompting industry leaders Kent Beck and Gergely Orosz to counter with a detailed 2-part response via the Pragmatic Engineer.Believing the industry to be at a crossroads, Ori and Kelly combine forces to offer their perspective on the debate, sharing why it’s an opportunity for dev teams everywhere to “roll out metrics the right way.”Show Notes:The McKinsey article: Yes, you can measure software developer productivityOrosz & Beck 1: Measuring developer productivity? A response to McKinsey, Part 1Orosz & Beck 2: Measuring developer productivity? A response to McKinsey, Part 2CTO Board SlidesKelly's newsletter: Lessons in Engineering LeadershipRegister for the 2023 Engineering Benchmarks Report Release WebinarSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Ori Keren, LinearB co-founder and CEO, predicts trends for engineering leaders in 2024. They discuss dev team metrics, the term 'engineering efficiency' vs 'developer productivity', rise of gen AI written code, remote work friction points, and the importance of adopting a metrics program.