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CodeCompose is an AI-assisted code authoring tool powered by large language models (LLMs) that provides inline suggestions to 10's of thousands of developers at Meta.
How Program History Can Improve Code Completion. In 2008 23rd IEEE/ACM International Conference on Automated Software Engineering . 317–326
R. Robles and M. Lanza. 2008 · 2008
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Learning from examples to improve code completion systems. In Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering (ESEC/FSE ’09)
Marcel Bruch, Martin Monperrus, and Mira Mezini. 2009 · 2009
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Intelligent Code Completion with Bayesian Networks
Sebastian Proksch, Johannes Lerch, and Mira Mezini. 2015 · 2015
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ELI5: Bento - Interactive Notebook that Empowers Development Collaboration and Best Practices
Meta Accessed 2021 · 2021
Earlier work this paper cites.
GitHub Copilot
GitHub Accessed 2021 · 2021
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Microsoft Intellicode
Microsoft Accessed 2021 · 2021
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Code Prediction by Feeding Trees to Transformers. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) . 150–162
Seohyun Kim, Jinman Zhao, Yuchi Tian, and Satish Chandra. 2021 · 2021
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ML Enhanced Code Completion
Google Accessed 2021 · 2022
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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, and Christopher Ré. 2022 · 2022
Cited alongside, same era.
An empirical evaluation of GitHub copilot’s code suggestions. In Proceedings of the 19th International Conference on Mining Software Repositories (MSR ’22)
Nhan Nguyen and Sarah Nadi. 2022 · 2022
Cited alongside, same era.
Using nudges to accelerate code reviews at scale (ESEC/FSE 2022) . Association for Computing Machinery, New York, NY, USA, 472–482
Qianhua Shan, David Sukhdeo, Qianying Huang, Seth Rogers, Lawrence Chen, Elise Paradis, Peter C. Rigby, and Nachiappan Nagappan. 2022 · 2022
Cited alongside, same era.
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA ’22)
Priyan Vaithilingam, Tianyi Zhang, and Elena L. Glassman. 2022 · 2022
Cited alongside, same era.
Smarter, more efficient coding: GitHub Copilot goes beyond Codex with improved AI model
Accessed 2023 · 2023
Later among the works it cites.
xformers
GitHub Accessed 2023 · 2023
Later among the works it cites.
Grounded Copilot: How Programmers Interact with Code-Generating Models
Shraddha Barke, Michael B. James, and Nadia Polikarpova. 2023 · 2023
Later among the works it cites.
Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools
Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, and Idan Gazit. 2023 · 2023
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InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen tau Yih, Luke Zettlemoyer, and Mike Lewis. 2023 · 2023
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Improving Code Autocompletion with Transfer Learning. In 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . 161–162
Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, and Gareth Ari Aye. 2022 · 2022
Cited alongside, same era.
Amazon CodeWhisperer
Amazon Accessed 2023 · 2023
Cited alongside, same era.
Codeium vs Amazon CodeWhisperer
Accessed 2023 · 2023
Cited alongside, same era.
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, and Gabriel Synnaeve. 2023 · 2023
Later among the works it cites.
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluations. In Proceedings of the Foundations of Software Engineering (FSE ’24)
Vijayaraghavan Murali, Chandra Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, and Peter C Rigby. 2024 · 2024
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