Developer Productivity and Happiness framework with LinkedIn

About Max Kanat-Alexander, Principle Staff Software Engineer at LinkedIn:

Max is the author of the books Code Simplicity and Understanding Software. He is currently one of the Tech Leads for Developer Productivity & Happiness at LinkedIn. Previously, he was the Tech Lead for Code Health at Google. He recently published the LinkedIn Developer Productivity & Happiness Framework, a guide to understanding and improving developer productivity through data.

Max on LinkedIn and Twitter

References

• Developer productivity and happiness framework

• Code Simplicity book

Chapters

00:00 Introduction and Background
06:27 The DPH Framework: Measuring and Improving Developer Productivity
28:48 Catering to Different Personas in Developer Productivity Efforts
31:05 The Role of AI in Developer Productivity
34:30 Traits of a Great Developer Productivity Engineer

Summary
Max Kanat-Alexander, a technical lead for developer productivity and happiness at LinkedIn, discusses the concept of Developer Productivity and Happiness (DPH) and the framework created by LinkedIn. He emphasizes the importance of both productivity and happiness in the workplace and how they are interconnected. Max also highlights the potential conflicts between productivity and happiness and the need to understand and measure both effectively. He explains the DPH framework and its purpose of helping organizations measure, understand, and improve developer productivity. Max also discusses the interplay between the DPH framework and other productivity frameworks like DORA metrics.

Keywords
Developer productivity, developer happiness, DPH, framework, productivity metrics, iteration time, context switching, personas, AI

Takeaways

• Developer productivity and happiness are important factors in the workplace and are interconnected.

• The DPH framework helps organizations measure, understand, and improve developer productivity.

• Iteration time and context switching are key concepts that impact developer productivity.

• Understanding and catering to different personas of developers is crucial for effective developer productivity efforts.

• AI has the potential to transform software development and improve developer productivity.