AI-Native Engineering Foundations

Explore the foundations of AI-native engineering and transform your workflows by integrating AI tools. Learn about the AI-native mindset, where you can distinguish between casual AI coding and disciplined engineering, and can choose the best approach for each situation. Discover AI-enhanced IDEs, command-line AI tools, and cloud agents to optimize your coding practices. Learn about the 70% problem and human-AI collaboration principles to improve your coding standards and productivity. Master the essentials of prompt and context engineering to provide the right information for optimal AI performance. Engage in interactive exercises that mirror real-world scenarios. Ideal for developers, tech leads, senior engineers, and anyone eager to harness AI's potential for more strategic and impactful coding, this course helps you build the skills to manage and iterate on AI-generated code confidently.

Learning objectives
Build a working solution using hands-on, quick-start exercises.
Explain the 70% problem and identify the three core workflow patterns used to address it.
Apply each workflow pattern through structured, interactive exercises.
Establish quality standards at the outset to support consistent, scalable outcomes.