Building Different: AI's New Frontier

Why are AI developers debating tools before problems? A humorous carpenter's tale reveals how we're getting AI discussions backwards - and how to fix it.

The three fundamental types of code changes - Schema, Refactoring, and Features - unlock reliable software development in the age of AI code generation. Essential for developers focused on code quality and maintenance.

Understanding the problem space deeply before implementing solutions is the foundation of creating meaningful value in software development.

Successfully leveraging AI in business requires humans to first master the art of systematic task decomposition and achieve complete understanding of their processes. Rather than relying on AI to figure out complex workflows, organizations must invest in breaking down tasks into precise...

Strong typing, long valued in software development, is becoming increasingly important for AI-generated code. The emergence of AI code generation tools has revealed that precise type definitions are essential for preventing AI systems from making incorrect assumptions or hallucinating code soluti...

Test-Driven Development (TDD) is evolving from a best practice in software engineering to a critical framework for AI-assisted development. By translating business requirements into tests before writing code, organizations can create a systematic approach that ensures both human developers and AI...