CODESTRUCT: Code Agents over Structured Action Spaces
📰 ArXiv cs.AI
CODESTRUCT reframes codebases as structured action spaces for LLM-based code agents to operate on named AST entities
Action Steps
- Reframe codebases as structured action spaces
- Operate on named AST entities rather than text spans
- Use readCode to retrieve complete syntactic units
- Apply syntax-validated transformations with editCode
Who Needs to Know This
Software engineers and AI researchers on a team benefit from CODESTRUCT as it improves the reliability of code edits and transformations, allowing for more efficient collaboration and automation of coding tasks
Key Insight
💡 Using structured action spaces can improve the reliability and efficiency of code edits and transformations
Share This
🚀 CODESTRUCT improves LLM-based code agents with structured action spaces!
Key Takeaways
CODESTRUCT reframes codebases as structured action spaces for LLM-based code agents to operate on named AST entities
Full Article
Title: CODESTRUCT: Code Agents over Structured Action Spaces
Abstract:
arXiv:2604.05407v1 Announce Type: new Abstract: LLM-based code agents treat repositories as unstructured text, applying edits through brittle string matching that frequently fails due to formatting drift or ambiguous patterns. We propose reframing the codebase as a structured action space where agents operate on named AST entities rather than text spans. Our framework, CODESTRUCT, provides readCode for retrieving complete syntactic units and editCode for applying syntax-validated transformations
Abstract:
arXiv:2604.05407v1 Announce Type: new Abstract: LLM-based code agents treat repositories as unstructured text, applying edits through brittle string matching that frequently fails due to formatting drift or ambiguous patterns. We propose reframing the codebase as a structured action space where agents operate on named AST entities rather than text spans. Our framework, CODESTRUCT, provides readCode for retrieving complete syntactic units and editCode for applying syntax-validated transformations
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