Researchers Uncover AI Limitations in Software Engineering
Summary
Groundbreaking research exposes limitations of AI in software engineering, highlighting challenges with large codebases, proprietary conventions, and lack of uncertainty handling, prompting calls for richer data, evaluation suites, and transparent AI-human collaboration tools.
Key Points
- Researchers map challenges of AI in software engineering beyond code generation
- Current AI models struggle with large codebases, proprietary conventions, exposing uncertainty
- Researchers call for richer data, evaluation suites, transparent AI-human collaboration tools