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SlopCodeBench

Assess

Tools

A benchmark for measuring coding-agent behavior and code quality.

Why it's here

Placed in Assess: 2 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 34%.

Evidence (2)

  • 5Hacker News·9/11/2026research
    Measuring Code Sloppiness in LLM-Generated Software

    The article argues that while LLMs can generate code that passes tests, they still often introduce unnecessary abstractions, duplication, and other forms of software slop. It reviews several ways to measure code quality, including AI judges, human review, simple LOC changes, and metrics such as verbosity from the SlopCodeBench paper.

  • 6Hacker News·7/27/2026research
    Benchmarking Opus 5 on SlopCodeBench

    This post reports benchmark results for Opus 5 on SlopCodeBench, a coding-focused evaluation. It discusses how the model performs on agentic programming tasks and what the benchmark reveals about coding quality and failure modes.