The final commandment: Synthesize all AI development principles into a unified practice that evolves with your growing expertise. Your complete guide to AI partnership mastery.
Transform your team from AI-curious to AI-native. Practical frameworks for cultural change, skill development, and organizational adaptation in the age of AI-assisted development.
Not every AI suggestion is worth implementing. Learn decision frameworks for strategic AI rejection, when human insight trumps AI efficiency, and how to maintain code quality by knowing when to say no.
Code review strategies have evolved. Learn what to watch for when reviewing AI-generated code, new failure patterns, and frameworks for maintaining quality in the Copilot era.
Testing AI-generated code requires fundamentally different strategies than traditional testing. Learn pragmatic frameworks that balance speed and reliability in AI-assisted development.
Master the delicate balance of human-AI collaboration. Complete framework for defining clear responsibilities, eliminating gray zones, and maximizing the unique strengths of both humans and AI.
Master the hidden costs of AI-generated code. Complete framework for identifying, measuring, and systematically reducing AI technical debt before it paralyzes your team.
Learn to balance AI-assisted coding with deep understanding. Avoid the trap of programming by coincidence while leveraging AI autocompletion effectively.
Transform AI resistance into collaboration using the Stone Soup approach. Practical strategies for incremental AI adoption that turn skeptics into champions.
Skip the AI prototype trap. Build tracer bullets that validate your entire concept from data to deployment in days, not months.
Challenging the sacred DRY principle in the age of AI code generation - when strategic duplication enhances maintainability over rigid abstraction.
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