MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123850 A) filed by Keshav Memorial Institute Of Technology, Hyderabad, Telangana, on Dec. 9, 2025, for 'logiclens: code review bot with learning patterns.'
Inventor(s) include Ms. Sri Tulasi Aeloori; Mr. Mohammed Abdul Kareem; Mr. Mohammed Abdulla Hussain; Mr. Mohd Khaleelullah; Mr. Manishwar Moturi; and Mr. Patchilla Mohith.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The AI Code Review Bot with Learning Patterns (LogicLens) represents a significant innovation in the field of automated software quality assurance by leveraging advanced artificial intelligence techniques and feedback-driven learning systems. At its core, this invention automates the process of code review using a combination of static analysis, semantic parsing, and integration with Google Gemini's large language models, thereby providing multi-layered feedback that addresses syntactic errors, code quality, security vulnerabilities, performance optimizations, and adherence to best practices for multiple programming languages such as Python, JavaScript/TypeScript, Java, and Go. The platform is built on a modular, scalable architecture featuring a React-based frontend for the web dashboard, IDE plugins for real-time code suggestions, and an Express.js Node backend orchestrating code intake, parsing through tree-sitter and linting tools, and then conducting high-level analysis through the Gemini API. Submitted code is parsed to extract logical structure, checked for errors and poor practices, and sent to the AI engine, which generates context-aware comments, suggestions, and severity categorizations. These actionable insights are then returned to the user via intuitive interfaces on both web and native development environments, as well as through direct pull request annotations on platforms like GitHub and GitLab. A key distinguishing feature of the invention is its adaptive feedback loop: after each review, developers can accept, reject, or modify suggestions, and this feedback is persistently recorded. The system's learning module continuously refines future reviews to align with team norms, personal coding styles, and common rejection patterns, reducing false positives and increasing value over time. Comprehensive dashboards and real-time analytics allow teams to monitor trends, track most frequent code issues, and visualize improvements, while robust API design and OAuth2-based security support extensibility and safe deployment in a wide range of environments. Overall, LogicLens streamlines development workflows, shortens review cycles, and democratizes high-quality code assessment for both experienced teams and new contributors by providing reliable, ever-improving, and explainable code review as an integral part of modern DevOps."
Disclaimer: Curated by HT Syndication.
