How ready are frontier models for real coding work? AutoCodeBench builds a 3,920-problem benchmark across 20 languages by working backwards: start from running code, generate the tests, write the problem statement last, so every item ships solvable and checkable. Even the strongest models stay below 53% Pass@1, and every one drops on the multi-logic subset. Single-function fluency overstates how ready they are for multi-component work.https://benjaminhan.net/posts/20260529-autocodebench/?utm_source=mastodon&utm_medium=social#LLMs #Coding #Benchmark #AI
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