AutoCodeRover, an autonomous AI agent platform for software development created by Professor Abhik Roychoudhury at the National University of Singapore (NUS), has been acquired by Sonar, a leader in code quality solutions.

The platform is notably cost-effective, completing software issue resolutions in an average of just 6.5 minutes at a cost of approximately S$0.80 (US$0.60) per issue, compared to 2.68 days for human developers.

This acquisition is poised to transform the software development landscape, enabling smarter and faster workflows for developers and reinforcing NUS's role in driving AI innovation.

As part of the acquisition, Sonar plans to establish a new research and development team in Singapore, creating 15 jobs between 2025 and 2026, which will be led by Dr. Ridwan Shariffdeen, a former NUS PhD student.

This innovative platform combines advanced Large Language Models (LLMs) with code search capabilities, effectively addressing software engineering challenges.

By automating critical software development tasks such as debugging and code refactoring, AutoCodeRover enhances efficiency and reduces time-to-market for developers.

Dr. Shariffdeen, co-founder of AutoCodeRover, will oversee the new R&D team, ensuring continued collaboration with NUS.

This partnership not only benefits Sonar but also enhances NUS and Singapore's tech ecosystem by providing valuable industry feedback to improve research relevance and application.

Professor Roychoudhury emphasized that this technology allows developers to focus more on innovation and creative problem-solving.

In his new role as Senior Advisor to Sonar, Professor Roychoudhury will guide AI-based software and security initiatives, further aligning NUS research with industry needs.

AutoCodeRover has been recognized among the top three platforms in the SWE-Bench evaluations for software issue remediation capability, showcasing its effectiveness in the field.

The development of AutoCodeRover by Professor Roychoudhury and his team at NUS School of Computing highlights the significant impact of NUS research on real-world applications.