Intro

1min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Leaders from top tech companies share insights on leveraging Gen. AI tools to boost developer efficiency, discussing adoption strategies, challenges, and actual use cases. They emphasize the significance of champions, measuring tool impact via surveys, and real-world applications of AI in optimizing productivity.

Click here to view the episode transcript.

In this week's episode, Abi is joined by industry leaders Idan Gazit from GitHub, Anna Sulkina from Airbnb, and Alix Melchy from Jumio. Together, they discuss the impact of GenAI tools on developer productivity, exploring challenges in measurement and enhancement. They delve into AI's evolving role in engineering, from overcoming friction points to exploring real-world applications and the future of technology. Gain insights into how AI-driven chat assistants are reshaping workflows and the vision for coding.

Links:

How to measure GenAI adoption and impact

Timestamps:

(2:58) Challenges of Measuring AI Productivity
(6:02) Use cases for GenAI within the Airbnb developer organization
(10:26) GitHub’s process for developing and testing new GenAI tools for developers
(12:42) Driving GenAI adoption strategies at Airbnb
(14:20) Research impact and productivity gains with GenAI tools at Airbnb
(17:03) Copilot use cases surveyed among Jumio's developers
(18:46) Challenges measuring impact of AI products at GitHub
(21:33) Biggest gains of GenAI usage at Airbnb
(24:19) Future opportunities in GenAI
(30:31) Challenges in GenAI for developers