Lenny's Podcast · October 19, 2025

How to measure AI developer productivity in 2025 | Nicole Forsgren

with Nicole Forsgren

Nicole Forsgren reveals why traditional productivity metrics fail when measuring AI developer tools and shares a proven framework for accurately assessing AI's impact on engineering teams. Learn the three critical survey questions that surface high-impact developer experience improvements, why lines of code metrics become meaningless with AI code generation, and how to frame productivity measurements in terms leadership actually cares about. Discover actionable strategies for implementing product-minded DevEx improvements and navigating the new challenges of trust and cognitive load in AI-assisted development workflows.

Featured insight

Most productivity metrics are a lie when it comes to AI tools. Lines of code metrics become meaningless because AI can generate incredibly verbose code that adds technical debt. If the goal is more lines of code, you can prompt an AI to write the longest piece of code ever with tons of comments. — Nicole Forsgren

Best for: Engineering managers implementing AI tools, Developer experience leaders at tech companies, CTOs measuring AI productivity impact

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