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    Home / News / Technology News / Anthropic AI solves coding bug that stumped humans for years
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    Anthropic AI solves coding bug that stumped humans for years
    Top AI tools like ChatGPT and Gemini also failed to resolve the bug

    Anthropic AI solves coding bug that stumped humans for years

    By Mudit Dube
    May 27, 2025
    05:14 pm

    What's the story

    Anthropic's latest AI model, Claude Opus 4, has achieved a remarkable feat by solving a complex bug that had persisted for four years.

    The bug stumped even an experienced developer and top AI tools like ChatGPT-4.1 and Gemini 2.5.

    The breakthrough was shared by a veteran C++ developer on Reddit, who goes by the username u/grafxflow.

    He detailed how Claude helped him solve his "white whale bug."

    Bug details

    The bug's origin and resolution

    The bug originated when a huge update was made—60,000 lines of code were changed—in a graphics program.

    This update affected how shaders work. Shaders are parts of the program that help create images and effects.

    One particular shader stopped working properly because of a small, hard-to-notice change in how the system behaved after the update.

    The developer had spent around 200 hours on this problem over the years but couldn't find a solution until he tried Claude Opus 4.

    AI prowess

    Claude Opus 4's unique approach to bug identification

    The developer gave Claude access to both the old and new codebases and asked it to find where the change happened.

    After about 30 prompts and one restart, the AI identified that the bug wasn't a simple logic issue but rather a behavior of the old system that worked by coincidence.

    This behavior didn't carry over to the new architecture, something that Claude figured out.

    AI impact

    Claude Opus 4's success sparks discussions in developer circles

    The success of Claude Opus 4 in solving this complex bug has sparked discussions among developers about the potential of next-gen AI tools.

    These tools could not only be used for writing code but also for understanding and debugging complex systems in ways that even experts might miss.

    This is a testament to the future of AI-assisted programming, which could save developers hundreds of hours.

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