Solving the AI documentation challenge by compiling commons libraries into signatures and examples into complete patterns. Creating automated compilation workflows that give AI exactly what it needs without implementation noise.
Stop choosing between monoliths and microservices. Learn how to build services that can deploy either way through configuration, not architecture. Real implementation examples included.
Moving from monolithic to modular repositories to prevent AI from modifying files it shouldn't touch. Creating parent POMs, commons libraries, and a users API demo that showcases the new architecture in practice.
After stepping back from the 'never give up' AI issue, I decided to closed take a look the part of VibeTDD framework around story-first development where specs reflect production reality rather than future intentions.