ReactBench Finds All AI Coding Agents Below 50% Success Rate

The rise of generative AI has led many software engineers to rely on AI agents for front-end development, particularly when working with the popular React framework. Assessing the quality and security of AI-generated code has therefore become critical to gauging automation risks in the technology industry. Open-source team Million created ReactBench, a React-specific benchmark designed to objectively test large models’ ability to prevent and debug errors in real-world development scenarios.

Million formally released the ReactBench v1 results in July 2026. GPT-5.6 Sol led the AI coding agents tested but achieved a success rate of only 43.1%, while every mainstream large model scored below 50%. The results indicate that current AI development tools still have a very high likelihood of producing code containing errors or security vulnerabilities, posing potential cybersecurity risks for businesses.