Introduction
Welcome to AI Coding: Impacts on System Design and Architecture
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1. Understanding AI’s Impact on System Architecture
Rethink what code means in an AI-first world
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Discover how AI transforms system architecture
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Identify key architectural principles for AI-driven systems
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2. Designing Modular, Data-Driven, and Scalable Systems
Design modular architecture for AI integration
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Build data pipelines and real-time feedback loops
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Balance human and vibe coding in system design
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Challenge: Architect a modular AI-integrated system design
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Solution: Architect a modular AI-integrated system design
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3. Architecting CI/CD, Testing, and Documentation for AI Systems
Architect CI/CD pipelines for AI code
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Define testing strategies for AI systems
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Establish documentation standards for AI code
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Challenge: Design a CI/CD pipeline architecture for AI-enhanced systems
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Solution: Design a CI/CD pipeline architecture for AI-enhanced systems
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4. Securing and Governing AI-Driven Architectures
Design security for AI-generated code
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Ensure privacy and compliance in AI-driven architectures
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Establish governance for responsible AI use
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Challenge: Establish governance policies for AI use
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Solution: Establish governance policies for AI use
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5. Designing Adaptive, Sustainable, and Future-Ready Systems
Create feedback loops for continuous AI improvement
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Optimize resource management for sustainable AI workloads
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Challenge: Optimize a system for resource efficiency and sustainability
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Solution: Optimize a system for resource efficiency and sustainability
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Looking Ahead in AI-Driven Architecture
Explore emerging trends in AI and architecture
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Your AI coding journey
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Ex_Files_AI_Coding_Impacts.zip
(5.4 MB)