Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.
IEEE

Scalable Large-Scale Multi-Granularity Code Clone Detection via Clustering Search and Pre-Trained Models

Abstract: Code cloning is a common phenomenon in software development, which reduces developers’ programming efforts but also poses risks of defect inheritance. Clone detection locates exact or ...