Sonar announced the acquisition of AutoCodeRover, an autonomous AI agent platform for software development. The acquisition enhances Sonar's offering with a sophisticated foundation for automatically addressing real-world engineering issues such as debugging, issue remediation, and code refactoring. This further underscores Sonar's commitment to investing in AI to help developers and organizations build high-quality, secure applications more effectively.

AutoCodeRover is one of the pioneering LLM agents for coding and code maintenance, showing strong results on SWE-bench - one of the industry's leading benchmarks that tests systems' ability to remediate software issues automatically. AutoCodeRover evolves a software project by inferring developer intent from various artifacts in the project.

Developed by researchers from the National University of Singapore (NUS), AutoCodeRover combines the industry's state-of-the-art Large Language Models (LLMs) with unique code search and reasoning capabilities to automate steps in the software development life cycle (SDLC). Sonar will continue to collaborate with researchers from the Trustworthy and Secure Software Research Group at NUS led by Professor Abhik Roychoudhury, in the ongoing improvement of agentic AI technology.

"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."

"AI agents provide developers and companies with a powerful new set of tools to build better, faster," said Tariq Shaukat, CEO of Sonar. "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."

AutoCodeRover has an LLM-agnostic design that ensures compatibility with a variety of language models, such as those from OpenAI, Anthropic, Google, and Meta. This provides users with the flexibility to choose the best solution for their specific needs. Sonar's integration of AutoCodeRover with its SonarQube offerings, expected later this year, will help developers:

• Accelerate Development: Automate key tasks in the SDLC to reduce development time
• Continuously Improve Code Quality: Expedite code reviews to not only detect issues but also remediate them instantly for agile delivery of high-quality applications
• Reduce Costs: Lower development costs by handling the laborious part of coding work autonomously
• Foster Innovation: Enable developers to spend less time on issues and more time on creating innovative business solutions

"We are thrilled to join forces with Sonar and contribute to the mission of helping developers around the world accelerate their work," said Ridwan Shariffdeen, CEO and co-founder of AutoCodeRover. "By combining our advanced agent technology with Sonar's industry-leading code quality and code security solutions, we'll drive even greater impact for developers and organizations worldwide."