AI RESEARCH
Constraint Decay: The Fragility of LLM Agents in Backend Code Generation
arXiv CS.AI
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ArXi:2605.06445v1 Announce Type: cross Large Language Model (LLM) agents nstrate strong performance in autonomous code generation under loose specifications. However, production-grade software requires strict adherence to structural constraints, such as architectural patterns, databases, and object-relational mappings. Existing benchmarks often overlook these non-functional requirements, rewarding functionally correct but structurally arbitrary solutions. We present a systematic study evaluating how well agents handle structural constraints in multi-file backend generation.