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cs.SE2026
LintEval: Benchmarking LLMs on Linter-Guided File Refactoring
Tongwei Deng, Jinyu Zhu, Yue Cao +3
Linters are widely used in code maintenance and real-time IDE editing to surface lint alerts related to performance, style, error-prone, and other patterns in source files. However…
cs.SE2026
FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation
Xutian Li, Bo Xiong, Yifeng Zhu +6
Recent code generation research has moved from isolated function completion toward repository-level generation in existing codebases. To implement a target function correctly, an L…
cs.SE2026
FeatX: Editing Software by Editing Features for Repository-Level Code Evolution
Xutian Li, Yifeng Zhu, Xianlin Zhao +3
Large language models (LLMs) are increasingly used for software evolution, yet most interaction paradigms remain code-centric and require manual context management and prompt itera…