Design Pattern Development with AI
About Course
Discover the elegant designs hidden in your problems — and learn how to guide AI in applying patterns correctly, refactoring messy code into sustainable, extensible solutions.
Design patterns are not just coding tricks — they’re proven ways of resolving recurring forces in software design. But AI often applies patterns superficially, generating code that “looks right” but doesn’t truly solve the underlying problem. Without guidance, this leads to fragile solutions and wasted effort.
This course teaches you to recognize patterns in problems, not just in solutions, and to use AI as a partner in applying them effectively. You’ll learn how to refactor naive AI-generated code into elegant designs, prompt AI to suggest alternatives, and validate whether a pattern truly fits. You’ll also practice applying encapsulation strategies that simplify complexity, isolate external dependencies, and manage relationships cleanly.
By the end, you’ll know how to leverage AI as a design accelerator — while keeping human judgment at the center of discovering, selecting, and applying the right patterns.
Course Benefits
-
Deliver cleaner, more extensible systems by aligning AI with proven design patterns.
-
Improve collaboration with teammates and AI by building a shared design vocabulary.
-
Reduce risk when integrating external systems and APIs through encapsulation.
-
Learn to move faster by refactoring to patterns instead of designing from scratch.
-
Gain confidence in knowing when a pattern fits — and when it doesn’t.
Course Content (Curriculum)
-
AI and Design Patterns – Guide AI to apply patterns properly, refactor naive solutions into elegant designs, and recognize when patterns truly fit.
-
Encapsulating Varying Behavior – Discover and apply patterns that isolate change, using AI to explore options while ensuring clarity in final designs.
-
Encapsulating Foreignness – Tackle external systems and APIs with patterns that reduce risk; use AI to propose wrappers and verify correctness.
-
Design Exercise – Apply patterns collaboratively with AI in a structured challenge, reinforcing analysis and design skills in practice.
-
Design Exercise Debrief – Reflect on the forces behind the design choices and discuss how AI helped — or hindered — the discovery of solutions.
-
Encapsulating Construction – Learn creation patterns and how to instruct AI to generate extensible, composable object lifecycles.
-
Encapsulating Cardinality – Apply structural patterns that clarify relationships; practice prompting AI to design collections and associations effectively.
Instructor Bio
David Scott Bernstein has trained more than 10,000 professional developers worldwide, from startups to Fortune 500 companies, and is the author of Beyond Legacy Code. As founder of To Be Agile and The Passionate Programmer, David brings decades of experience in Extreme Programming, Agile design, and test-first development — now integrated with cutting-edge AI collaboration practices.
Next Step
To learn more about setting up a private training session for your team, schedule a call with me, David. We’ll discuss your goals and how I can help. No pressure, just a discovery call to see if we are a good fit for each other.
Schedule a CallWhat Will You Learn?
- By completing this course, you will be able to:
- • Recognize the forces in a problem that suggest a particular pattern.
- • Prompt AI to apply patterns correctly and contextually.
- • Refactor AI-generated code into well-structured, sustainable designs.
- • Apply encapsulation strategies for variation, foreignness, construction, and cardinality.
- • Use design exercises to strengthen judgment and communication about design.
