Autonomous AI Coding Clears 60,000-Line Ceiling: MirrorCode Benchmark Released
Summary
The article covers the release of MirrorCode, a benchmark that measures how much autonomous software engineering an AI model can complete without human help. It reports that Claude Opus 4.7 reimplemented programs up to 60,000 lines of code and outperformed GPT-5.5 and Gemini 3.1 Pro Preview on the benchmark. It explains how MirrorCode works, including its no-source-code setup, hidden tests, and long inference budgets. It also highlights the limits of current models, especially on larger and more ambiguous software tasks. The piece frames the result as an important signal for long-horizon AI coding capability, while noting that real-world software development still involves judgment and requirements work the benchmark does not measure.
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