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51 lines (51 loc) · 2.32 KB
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{
"@context": "https://schema.org/",
"@type": "LearningResource",
"@id": "https://coderefinery.github.io/coding-with-ai",
"description": "A CodeRefinery lesson providing a practical framework for researchers who want to use AI coding assistants responsibly. The lesson covers three scenarios of increasing automation (chat-based coding, IDE integration, and agentic coding), security considerations including hallucinated packages and prompt injection, and mitigation strategies. Includes a hands-on workshop on data exploration and visualisation with Python and generative AI.",
"keywords": "generative AI, coding, research software, responsible AI, data visualisation, CodeRefinery, reproducibility",
"name": "Responsible Use of Generative AI in Assisted Coding - CodeRefinery lesson",
"author": [
{
"@type": "Organization",
"name": "CodeRefinery"
},
{
"@type": "Person",
"name": "Enrico Glerean"
},
{
"@type": "Person",
"name": "Bj\u00f8rn Lindi"
},
{
"@type": "Person",
"name": "Ina P\u00f6hner"
},
{
"@type": "Person",
"name": "Jarno Rantaharju"
},
{
"@type": "Person",
"name": "Simon Christ"
},
{
"@type": "Person",
"name": "Thomas Pfau"
}
],
"about": "A CodeRefinery lesson providing a practical framework for researchers who want to use AI coding assistants responsibly. The lesson covers three scenarios of increasing automation (chat-based coding, IDE integration, and agentic coding), security considerations including hallucinated packages and prompt injection, and mitigation strategies. Includes a hands-on workshop on data exploration and visualisation with Python and generative AI.",
"audience": "",
"competencyRequired": "",
"educationalLevel": "Beginner",
"identifier": "https://doi.org/10.5281/zenodo.19335927",
"inLanguage": "en-UK",
"learningResourceType": "lesson",
"license": "https://creativecommons.org/licenses/by/4.0/",
"teaches": "",
"url": "https://coderefinery.github.io/coding-with-ai",
"accessibilitySummary": "",
"isPartOf": "https://coderefinery.org",
"version": "2026-08-10"
}