Insights on software engineering in AI era.
Exploring the fundamental principles of software design through the lens of cognitive science and information theory. Understanding how limited cognitive bandwidth shapes architecture and why Context Engineering is the endgame of software engineering in the AI era.
Exploring how game development's ECS paradigm challenges traditional Clean Architecture, and why sometimes perfect order is the enemy of joy. A reflection on bureaucracy vs. emergence in software design.
Dependency injection isn't just a clever technique—it's an evolutionary step that transforms codebases from self-sufficient systems into specialized, scalable architectures. Learn why DI matters beyond edge cases and how it enables teams to compound their work effectively.
How AI Skills represent a fundamental shift: documents evolving from passive knowledge containers into executable programs that agents can run, humans can learn from, and teams can refine together.
AI coding has replayed decades of software engineering in fast-forward — from vibe coding chaos, to spec-first echoes of waterfall, to agile design that makes systems changeable. Here's how to steer it.
Exploring the subtle UX mistake of missing click targets and how to fix them.
How the principles of software engineering become even more critical in the age of AI, with a focus on interfaces and SOLID principles as context management tools.