Design Patterns and Advanced Software Architecture: How to Combat AI Software Decay
About the Seminar
As AI coding assistants accelerate raw code generation, software systems face an unprecedented threat: rapid architectural decay. Without strong structural boundaries, AI-generated code quickly degrades into tightly coupled "spaghetti," inflating technical debt and making maintenance prohibitively expensive.
This intensive, one-day seminar combines classic Object-Oriented Design Patterns with core Software Architecture paradigms. Designed to equip developers and architects with combat-tested defense strategies, this course demonstrates how to enforce clean abstractions, apply fundamental architectural styles, and effectively guide AI tools during brainstorming, design, and implementation without losing control of system architecture.
Who Is This Seminar For?
Software developers, leads and architects looking to master high-level system design and adv. Object-Oriented design.
Prerequisites
Experience in OO languages such as C#, Java, C++, Go or Python
Key Topics
Advanced OO Design & Essential Patterns
- The AI Decay Threat: Why fast code generation leads to instant architectural debt—and how discipline prevents it.
- Core Design Guidelines & SOLID: Encapsulation, Low Coupling, High Cohesion, and SOLID as structural guardrails.
- Essential Gang of Four (GoF) Patterns
- Refactoring & Dependency Injection: Injecting abstractions for clean modular code.
Architectural Patterns, Microservices & AI Guidance
- Classic Architectural Patterns:
- Multilayered / Clean Architecture, Model-View-Controller.
- Pipes and Filters, Broker Pattern, Peer-to-Peer, and Microkernel.
- SOA & Microservices Integration:
- Monolith vs. SOA vs. Microservices trade-offs.
- Asynchronous Integration: Event-Driven Architecture and Publish-Subscribe messaging.
- Architecture and AI:
- Brainstorming & Analysis: Using AI to analyze existing codebases and explore design trade-offs without sacrificing oversight.
- Enforcing Guardrails: Feeding architectural rules, patterns, and constraints into AI context to keep generated code on track during implementation.
