Enhancing Engineering Productivity in the AI Era

Are your teams feeling the intense pressure to "produce more" in an era increasingly dominated by AI?

Join hosts Ben Lloyd Pearson and Dan Lines as they unpack a major shift in how engineering organizations must now approach productivity. Dan reveals the urgent challenges he hears directly from CTOs and VPs, who are grappling with how to define their AI strategy for genuine productivity gain, accurately measure its true impact, and understand the resulting implications for their workforce.

In this episode, Ben and Dan explore why traditional software engineering intelligence (simply having metrics and information) is no longer sufficient in 2025. Together, they explore productivity's nuanced meaning and discover how organizations can shift from passive data observation to an active improvement mindset, and get a look at what defines a developer productivity insights platform.

Check out:

• Register for Beyond Copilot: What’s Next for AI in Software Development
• Survey: Discover Your AI Collaboration Style

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Referenced in today's show:

• Why Your AI Coding Assistant Keeps Doing It Wrong, and How To Fix It
• As a developer, my most important tools are a pen and a notebook
• The problem with shadow development

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