AI Debugging Falls Short: Microsoft Study Reveals Limits of Code Generation Models
2025-04-11
Microsoft research reveals that even models from top AI labs like OpenAI and Anthropic struggle to debug software bugs as effectively as experienced developers. A study testing nine models showed that even with debugging tools, these models failed to successfully complete more than half of the debugging tasks in the SWE-bench Lite benchmark. The study points to data scarcity as a major factor; the models lack sufficient training data representing human debugging processes. While AI-assisted programming tools show promise, this research highlights the limitations of AI in coding, underscoring that humans remain essential.
Development
Code Debugging