All 13 articles on software engineering, AI, and system architecture.
Code generation by AI is no longer a prediction—it's observable reality. But the work of solving real-world problems with software isn't going away. A framework for understanding what remains human territory: value judgments, problem definition, and the future of the software practitioner.
Why do we need multiple AI agents when one LLM can do everything? The answer isn't about skills—it's about memory isolation and context sharding. Exploring how Multi-Agent systems solve the attention problem through context separation.
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.
Twelve principles for designing AI agents that maintain architectural coherence while collaborating on complex software projects.
Exploring how abstraction, functional programming, and Clean Architecture help both humans and AI manage context complexity in software development.
How Domain-Driven Design provides a strategic framework for tackling complex, domain-heavy software projects with AI assistance.
An exploration of why AI coding tools excel at simple tasks but struggle with complex, domain-heavy software engineering challenges.