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Designer tests AI code generation for new language, finds flaws and improvements

By PulseAugur Editorial · [1 sources] ·

A designer tested how well AI models could generate code for a new programming language called Kaury, which he created. He found that while some AI sessions could produce functional code on the first try, many made errors related to syntax, keyword usage, and font ordering. After refining the language's specification to be more forgiving and provide clearer error messages, the AI models performed significantly better, with most sessions successfully compiling code. AI

IMPACT Highlights the current limitations of AI in understanding and generating code for new or underspecified languages, suggesting a need for clearer specifications and better error handling.

RANK_REASON The item describes an experiment testing AI models' ability to generate code for a novel programming language, detailing the results and subsequent language modifications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Designer tests AI code generation for new language, finds flaws and improvements

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The item describes an experiment testing AI models' ability to generate code for a novel programming language, detailing the results and subsequent language modifications. [lever_c_demoted from res…
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Theo ·

    I gave my language's spec to 36 AI sessions that had never seen it. Here is what they got wrong.

    <p>Kaury is a small language that turns one <code>.kaury</code> file into a complete website: pages, styles, logic, forms that send e-mails, 3D scenes. The output is server-rendered HTML with a sitemap, structured data and an <code>llms.txt</code>.</p> <p>This is a whole site:<br…

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