Third-party cyber evaluations involving OpenAI models
openai.com·13h ago
AI Research
arXiv CS.AI·May 27·8 min read
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
TL;DR
Code agents struggle to reason effectively about repository context—the full codebase structure and dependencies needed to solve tasks. RepoMirage is a perturbation-based evaluation framework that systematically corrupts repository information to measure how well agents understand and use codebase structure.
✦ Why It Matters
Engineers can use RepoMirage to evaluate whether code agents truly understand their codebase or merely pattern-match, enabling better tool selection.
Key Takeaways
- Implement perturbations to test code agents' context reasoning.
- Explore structural-first workflows to improve agent performance.
- Analyze performance metrics to identify reasoning gaps.
- Focus on enhancing structure-awareness in code agents.
How It Works
RepoMirage evaluates code agents by applying perturbations that alter the repository's structure while preserving its semantics. This forces agents to seek relevant information across multiple files, revealing their ability to reason about context.
The subsequent RepoAnchor workflow separates exploration from problem-solving, allowing agents to build a better understanding of repository structure before tackling specific tasks.