How AI-Native Engineering Works

Treat agents as first-class collaborators across the SDLC—design, code, test, review, docs, ops. • Agents accelerate execution • Humans own intent + final judgment • Evals keep reliability from regressing

Curriculum

8 Chapters · 10 Lessons

  1. 1

    Download our Course Content!

    1. (Included in full purchase)

      Presentation Slides and Bibliography

  2. 2

    Module 1 - The Road to AI-Native Engineering

    1. (Included in full purchase)

      Welcome to our AI-Native Engineering Course!

  3. 3

    Module 2 - Prompting Frameworks

    1. (Included in full purchase)

      The Task Prompt Framework (User Prompt)

    2. (Included in full purchase)

      Agent Prompt Framework (System Prompt)

    3. (Included in full purchase)

      Agent Skills

  4. 4

    Model 3 - Context Management

    1. (Included in full purchase)

      Chain of Density Prompt

  5. 5

    Module 4 - Prompt Optimization

    1. (Included in full purchase)

      Workshop

  6. 6

    Module 5 - Spec-Driven Development

    1. (Included in full purchase)

      Workshop

  7. 7

    Module 6 - Vibe Tuning

    1. (Included in full purchase)

      SLM Finetuning with Prompts

  8. 8

    Module 7 - Eval Engineering

    1. (Included in full purchase)

      LLM Judge Template

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