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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60385
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The AI Code Debugging Assistant revolutionizes the software debugging workflow, offering an autonomous and reliable solution for developers. Designed with a focus on safety and efficiency, the agent leverages cutting-edge technologies such as generative AI (Google Gemini) for code patching, Abstract Syntax Tree (AST) analysis for high-context understanding, and secure Docker sandboxing for automated patch verification. By addressing the critical bottleneck of the manual “run-crash-fix-repeat” cycle, the agent fosters a more productive and streamlined development process. This paper explores the architecture, design principles, and key components of this autonomous system, highlighting its significant impact on developer productivity and its broader implications for self-healing software and automated CI/CD pipelines.
KEYWORDS
Publication Date
4/17/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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