Agentic Harness for Real-World Compilers

📰 ArXiv cs.AI

Researchers introduce llvm-autofix, an agentic harness for real-world compilers to assist large language model agents in automated bug repair

advanced Published 23 Mar 2026

Action Steps

Identify compiler bugs using sparse and non-descriptive bug reports
Design an agentic harness to bridge the gap between LLMs and compiler-specific tools
Implement llvm-autofix to assist LLM agents in automated bug repair
Evaluate the effectiveness of llvm-autofix in real-world compiler scenarios

Who Needs to Know This

Compiler developers and AI researchers on a team can benefit from this work as it provides a novel approach to automated bug repair, enhancing the overall efficiency and accuracy of the compilation process

Key Insight

💡 The introduction of an agentic harness can significantly improve the automated bug repair process for compilers by leveraging large language model agents

Key Takeaways

Researchers introduce llvm-autofix, an agentic harness for real-world compilers to assist large language model agents in automated bug repair

Full Article

Title: Agentic Harness for Real-World Compilers

Abstract:
arXiv:2603.20075v1 Announce Type: cross Abstract: Compilers are critical to modern computing, yet fixing compiler bugs is difficult. While recent large language model (LLM) advancements enable automated bug repair, compiler bugs pose unique challenges due to their complexity, deep cross-domain expertise requirements, and sparse, non-descriptive bug reports, necessitating compiler-specific tools. To bridge the gap, we introduce llvm-autofix, the first agentic harness designed to assist LLM agents

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