CodingGenie: A Proactive LLM-Powered Programming Assistant

While developers increasingly adopt tools powered by large language models (LLMs) in day-to-day workflows, these tools still require explicit user invocation. To seamlessly integrate LLM capabilities to a developer's workflow, we introduce CodingGenie, a proactive assistant integrated into the code editor. CodingGenie autonomously provides suggestions, ranging from bug fixing to unit testing, based on the current code context and allows users to customize suggestions by providing a task description and selecting what suggestions are shown. We demonstrate multiple use cases to show how proactive suggestions from CodingGenie can improve developer experience, and also analyze the cost of adding proactivity. We believe this open-source tool will enable further research into proactive assistants. CodingGenie is open-sourced at https://github.com/sebzhao/CodingGenie/ and video demos are available at https://sebzhao.github.io/CodingGenie/.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3728603
Citations
3
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
6.81
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article

CodingGenie: A Proactive LLM-Powered Programming Assistant

Hussein Mozannar, David Sontag, Ameet Talwalkar, Alan Zhu et al.
3 citations
Parallel Computing and Optimization Techniques
6.81
article

CodingGenie: A Proactive LLM-Powered Programming Assistant

Hussein Mozannar, David Sontag, Ameet Talwalkar, Alan Zhu, Valerie Chen, S Zhao
article en
3 citations

Abstract

While developers increasingly adopt tools powered by large language models (LLMs) in day-to-day workflows, these tools still require explicit user invocation. To seamlessly integrate LLM capabilities to a developer's workflow, we introduce CodingGenie, a proactive assistant integrated into the code editor. CodingGenie autonomously provides suggestions, ranging from bug fixing to unit testing, based on the current code context and allows users to customize suggestions by providing a task description and selecting what suggestions are shown. We demonstrate multiple use cases to show how proactive suggestions from CodingGenie can improve developer experience, and also analyze the cost of adding proactivity. We believe this open-source tool will enable further research into proactive assistants. CodingGenie is open-sourced at https://github.com/sebzhao/CodingGenie/ and video demos are available at https://sebzhao.github.io/CodingGenie/.

Microsoft (United States) (US), IIT@MIT (US), Carnegie Mellon University (US), University of California, Berkeley (US)
Openalex Percentile: Top 3%
Parallel Computing and Optimization Techniques
6.81
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CodingGenie: A Proactive LLM-Powered Programming Assistant — Hussein Mozannar, David Sontag, et al. · (2025) | TGRS Research Map | TGRS