Toward Executable Repository-Level Code Generation via Environment Alignment
Large language models (LLMs) have achieved strong performance on code generation, but existing methods still struggle with repository-level code generation under executable validation. Under this evaluation setting, success is determined not by the plausibility of isolated code fragments, but by whether a generated multi-file repository can be successfully installed, have its dependencies and internal references resolved, be launched, and be validated in a real execution environment. To address this challenge, we propose EnvGraph, a framework for repository-level code generation that formulates repository executability as an environment alignment problem. EnvGraph jointly models two coupl...
| Authors | Ruwei Pan, Junlei Shen, Linhao Wu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 4 April 2026 |
| Last updated at source | 4 April 2026 |
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