
LLM Critics: Smarter Code Evaluation Without Execution
Using AI to assess code changes with unprecedented detail
This research introduces LLM-based code critics that provide detailed evaluations of code changes without needing to execute the code.
- Addresses limitations of existing metrics like build status and log analysis
- Provides structured, detailed feedback on code quality and correctness
- Enables more effective multi-step LLM-based agentic workflows for software engineering
- Offers a promising approach to automated code review and quality assessment
For engineering teams, this represents a breakthrough in how we evaluate and improve automated coding tools, potentially accelerating development cycles while maintaining quality standards.
Large Language Model Critics for Execution-Free Evaluation of Code Changes