Secure Coding Unleashed: Boosting Productivity With On-Premise LLM-Powered IDE Plugins
Vasilii Krikunov, Nikolay Kotlyarov, Eugenii Nikolaev, Vasily Konovalov
Abstract
The integration of code assistance powered by Large Language Models (LLMs) into Integrated Development Environments (IDEs) has rapidly expanded, significantly influencing developer productivity. However, existing cloud-based solutions offered by third-party providers introduce critical privacy concerns due to storage and reuse of proprietary codebases for further model training. Addressing these concerns, we propose an enterprise-oriented approach to developing a customizable code-generation plugin for widely used IDEs, utilizing internally hosted LLMs. Through the proposed custom solution, this research explicitly quantifies the impact on developer productivity across various coding tasks. https://drive.google.com/file/d/10Y2_cOgUtZPViz5-oiXvG97fYxOUxKVH/view
BibTeX
@inproceedings{ijcai2026_securecodingunle,
title = {Secure Coding Unleashed: Boosting Productivity With On-Premise LLM-Powered IDE Plugins},
author = {Vasilii Krikunov and Nikolay Kotlyarov and Eugenii Nikolaev and Vasily Konovalov},
booktitle = {IJCAI 2026},
year = {2026}
}