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A lesson on AI-assisted programming and validation best practices. Pre-Alpha This lesson is in the pre-alpha phase, which means that it is in early development, but has not yet been taught.
    A lesson on AI-assisted programming and validation best practices.
    Agentic Research Workflows: AI Coding, Validation, and Research Responsibility
    • Agentic Research Workflows: AI Coding, Validation, and Research Responsibility
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    Agentic Research Workflows: AI Coding, Validation, and Research Responsibility
    1. Before We Use AI: What Are We Practising?
    2. CLI-Based AI
    3. Best Practices for Prompting
    4. Data Cleaning with AI
    5. Validation Strategies: The Approval Gate
    6. Limitations and Cautions
    7. From AI Output to a Review-Ready Bundle
    8. Resources and Next Steps

    • Key Points
    • Instructor Notes
    • Extract All Images

    • Reference

    See all in one page

    All Images

    Before We Use AI: What Are We Practising?


    CLI-Based AI


    Best Practices for Prompting


    Data Cleaning with AI


    Validation Strategies: The Approval Gate


    Limitations and Cautions


    From AI Output to a Review-Ready Bundle


    Resources and Next Steps



    This lesson is subject to the Code of Conduct

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