Patched Round-Trip Correctness introduces a novel evaluation technique for measuring LLM performance across diverse software engineering tasks without human intervention.

• Focuses on "outer loop" activities such as bug fixing, code review, and documentation updates
• Works with any LLM and downstream task, offering a flexible evaluation framework
• Measures consistency and robustness of AI responses to software development challenges
• Enables objective comparison between different LLMs for practical engineering applications

This research provides engineering teams with a reliable method to assess which AI models best support their software development workflows, helping organizations make informed decisions about integrating AI into their development processes.

Patched RTC: evaluating LLMs for diverse software development tasks