Singapore’s autonomous AI agent platform AutoCodeRover acquired by Switzerland’s Sonar
Sonar, a Swiss company that offers code quality and security solutions, has announced that it has acquired AutoCodeRover, a software development platform for autonomous artificial intelligence (AI) agents based in Singapore.
In a statement released on Thursday, Sonar said the acquisition adds a sophisticated foundation for automatically resolving real-world engineering problems like code refactoring, debugging, and issue remediation to Sonar’s offering.
Sonar’s dedication to investing in AI to assist developers and organizations in more efficiently creating secure, high-quality applications is further demonstrated by this.
One of the first large language model (LLM) agents for coding and code maintenance, AutoCodeRover has demonstrated impressive performance on SWE-bench, a top industry benchmark that evaluates a system’s capacity to automatically fix software bugs.
By deducing developer intent from a variety of project artifacts, the company develops software projects.
AutoCodeRover, created by researchers at the National University of Singapore (NUS), automates software development life cycle (SDLC) steps by fusing cutting-edge LLMs with special code search and reasoning capabilities.
In order to further advance agentic AI technology, Sonar will keep working with researchers from NUS’s Trustworthy and Secure Software Research Group, which is headed by Professor Abhik Roychoudhury.
“We are proud to see Professor Abhik Roychoudhury’s spinoff, AutoCodeRover, acquired by Sonar,
“This highlights the innovation and the real-world impact of our research,” said Prof. Tan Kian Lee, Dean NUS School of Computing.
“We look forward to seeing how this success continues to shape the future of software development,” he added.
AI agents give developers and businesses a potent new set of tools to build better, faster, according to Sonar Chief Executive Officer Tariq Shaukat.
“Studies estimate that developers spend almost half their time fixing bugs, addressing technical debt, and on other work that doesn’t help create the future. This leads to lower developer productivity and happiness,
“Agentic AI working side by side with developers will help them build better, faster, and spend more of their time on the activities they enjoy – namely, writing code, creating new products, innovating, and driving impact,” he added.
Notably, AutoCodeRover’s LLM-agnostic architecture guarantees interoperability with a range of language models, including those from Google, OpenAI, Anthropic, and Meta.
This gives users the freedom to select the best option for their unique requirements.
Later this year, Sonar is anticipated to integrate AutoCodeRover with its SonarQube products, which will assist developers in accelerating development, continuously improving code quality, cutting costs, and promoting innovation.
