The Gap Between AI Hype and Developer Productivity

About this episode

Ankit Jain discusses the measurement of engineering productivity and the actual impact of AI on software teams with Yegor Denisov-Blanch.

“How much productivity is AI actually giving your engineering teams?” is the wrong question. In this episode of the HangarDX podcast, Ankit Jain, co-founder and CEO of Aviator, talks with Yegor Denisov-Blanch, researcher at Stanford University, about how engineering productivity is actually measured—and what the data says about AI’s impact on software teams. Yegor shares insights from large-scale studies on developer output, why early AI productivity claims were overstated, how high-performing teams compound their gains, why some teams see no benefit at all, and what engineering leaders should (and shouldn’t) measure when rolling out AI across the software development lifecycle. 00:00 Introduction to Developer Productivity Research 06:12 Research Methodology and Expert Evaluations 10:35 Impact of AI on Developer Productivity 18:56 Invisible Contributions and Team Dynamics 24:59 Navigating Speed in Startups vs. Enterprises 26:34 The Role of AI in Productivity Gains 28:24 Measuring AI Usage and Results 30:14 Experimentation and Adaptation in AI 33:40 Understanding Ghost Engineers 38:07 Remote Work and Performance Dynamics About Yegor Denisov-Blanch Yegor helps software engineering…

People in this episode

Host: Ankit Jain

Guest: Yegor Denisov-Blanch

Topics covered

• AI productivity
• developer productivity
• engineering teams
• software development
• data analysis
• team dynamics

Keywords

• AI
• developer output
• engineering productivity
• software teams
• data insights
• team performance

Mentioned in this episode

Organizations: Stanford University, Aviator, DHL

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