Machine Learning for Developer Self-Care

Explore how artificial intelligence and machine learning can revolutionize software development in this 32-minute conference talk from GOTO AI Summit 2021. Dive into Facebook's approach to leveraging AI for enhancing developer productivity, presented by Erik Meijer, Director of Engineering. Learn about innovative techniques for bug prevention, crash analysis, test selection, and code review assistance. Discover concepts like duality in machine learning, data-to-code transformation, and large code models. Gain insights into practical applications such as NCS Aroma autocomplete, Getafix predictive test selection, and IR-based bug localization. Understand how these technologies can be applied to manage and analyze massive amounts of data generated by billions of users.

Intro
Software is eating the world, but ML is going to eat software
How do we operate?
Archetype
The magic of duality
From data to code
NCS Aroma autocomplete
Getafix: Predictive test selection
WW simulation
Large code models
Work-item prediction ownership inference
IR-based bug localization
Outro