{"by":"dhorthy","descendants":109,"id":50108717,"kids":[50171776,50174011,50171372,50171101,50171161,50173236,50171723,50172588,50172282,50174972,50172275,50173748,50173722,50177780,50171623,50172517,50172267,50173163,50172299,50175256,50172745,50172544,50171109,50175250,50175171,50173650,50171469,50177759,50175237,50173180,50171243,50173638],"score":279,"text":"Quick update here since a lot of folks asked about what slopcodebench is &#x2F; where it fits in<p>Slop code bench is unique among benchmarks in that it makes a model work against a progressively disclosed list of features (checkpoints) that it doesn’t know it advance, inheriting the same codebase through the lifecycle of a single multi-checkpoint challenge<p>I like this because it much more mirrors how real software dev happens, rather than most benchmarks with one off tasks where slop code doesn’t hinder future progress<p>The original post[1] and the SOL&#x2F;fable follow up[2] went into a bit more detail on the benchmark and its challenges<p>1. <a href=\"https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=49076391\">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=49076391</a><p>2. <a href=\"https:&#x2F;&#x2F;github.com&#x2F;humanlayer&#x2F;advanced-context-engineering-for-coding-agents&#x2F;blob&#x2F;main&#x2F;benchmarking-sol-fable-kimi-on-slop-code-bench.md\" rel=\"nofollow\">https:&#x2F;&#x2F;github.com&#x2F;humanlayer&#x2F;advanced-context-engineering-f...</a>","time":1792091374,"title":"SlopCodeBench 10/2026 – Opus 5.5, Astra wins overall, xhigh considered harmful","type":"story","url":"https://github.com/humanlayer/advanced-context-engineering-for-coding-agents/blob/main/benchmarking-new-models-on-slop-code-bench.md"}