Big Code

AI in Software Engineering at Facebook

Three productivity tools that learn patterns from software artifacts that we deployed at Facebook.

🏆 2021 IEEE Computer Society IEEE Software Magazine Best Paper Award

Johannes Bader, Sonia Seohyun Kim, Frank Sifei Luan, Satish Chandra, Erik Meijer

Aroma: Code Recommendation via Structural Code Search

A code recommendation tool for big code corpora to improve developer productivity.

🏆 2019 ACM SIGPLAN Distinguished Paper Award

Frank Sifei Luan, Di Yang, Celeste Barnaby, Koushik Sen, Satish Chandra

Curry On 2019: Using ML for Code Discovery at Facebook

We created two techniques that apply machine learning to code discovery problems: Neural Code Search (NCS) and Aroma.

Frank Sifei Luan, Celeste Barnaby

Last updated on Jun 29, 2020

F8 2019: Using Machine Learning for Developer Productivity

At Facebook, we use machine learning to discover patterns in code and build tools that improve developer productivity. In this session, you’ll learn about the tools we have built for code search, code recommendation, and automatic bug fixing.

Johannes Bader, Satish Chandra, Sonia Seohyun Kim, Frank Sifei Luan

Last updated on Jun 29, 2020

Retrieval on Source Code: A Neural Code Search

A natural language code search tool for big codebases.

Saksham Sachdev, Hongyu Li, Frank Sifei Luan, Seohyun Kim, Koushik Sen, Satish Chandra