AI Assistant in JetBrains IDE: Insights and Challenges (Invited Talk)
Page 178
Abstract
Frontier Large language models in 2024 are capable of performing numerous tasks, including SE ones, and are widely used to create impressive demos. However, productizing these models remains notoriously challenging. JetBrains AI Assistant is one such product, a developer tool, that provides IDE users with over 10 different features backed by latest LLMs. It supports various programming languages and is shipped in a number of different IDE products (IntelliJ, Rider, PyCharm, Goland, PhpStorm, etc). In this session we will share the story of deploying LLM-based features to production over the past year developing AI Assistant: technical successes, challenges, and capabilities we believe LLMs pre-trained on code are still lacking in the SE context, from the perspective of an industrial developer tools vendor.
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- AI Assistant in JetBrains IDE: Insights and Challenges (Invited Talk)
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Published In
July 2024
182 pages
ISBN:9798400706851
DOI:10.1145/3664646
- General Chairs:
- Bram Adams,
- Thomas Zimmermann,
- Ipek Ozkaya,
- Program Chairs:
- Dayi Lin,
- Jie M. Zhang
Copyright © 2024 Copyright held by the owner/author(s).
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2024
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Conference
AIware '24
Sponsor:
AIware '24: 1st ACM International Conference on AI-Powered Software
July 15 - 16, 2024
Porto de Galinhas, Brazil
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