AI RESEARCH
Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
arXiv CS.LG
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ArXi:2604.19826v1 Announce Type: cross AI coding assistants increasingly generate code alongside tests. How developers structure test code, whether inline with the implementation or in separate blocks, has traditionally been a matter of testing philosophy. We investigate whether this choice affects AI code generation quality. We conduct a large-scale empirical study (830+ generated files, 12 models, 3 providers) using SEGA, a three-dimensional evaluation framework measuring Determinism, Preservation, and Correctness.