Steve Wade discusses common pitfalls in platform migrations, particularly the issue of "resume-driven architecture" where teams focus on collecting tools instead of solving real business problems. He introduces the "deletion protocol" as a way to simplify platforms and improve efficiency, emphasizing that success comes from reducing complexity rather than adding features.

This article discusses the pitfalls of microservices, particularly how they can devolve into complex, unmanageable systems. It introduces the concept of a polytree as a structural model to help maintain clear dependencies and ownership, reducing development headaches and improving system reliability.

The article critiques the evolution of programming from object-oriented programming (OOP) to microservices, arguing that while OOP has its flaws, the alternatives have exacerbated those issues. It highlights how increased complexity and distrust in software development have led to a convoluted architecture that is just as problematic as OOP.

This article clarifies the difference between workflows and agents in AI applications, emphasizing that not all models are autonomous decision-makers. It outlines when to use workflows, single agents with tools, or multi-agent systems based on task complexity and requirements. The author provides practical guidance for avoiding overengineering in AI solutions.

This article explores a shift in data modeling from rigid orthodoxies to a more pragmatic approach. It emphasizes starting with simple structures, adding complexity only when necessary, and leveraging semantic clarity for flexibility across different modeling techniques.

Over-engineering occurs when software architecture prioritizes complexity over simplicity, often driven by trends, resume-driven development, and misaligned incentives. This approach can lead to slower delivery, increased fragility, and ultimately fails to address real user needs. Emphasizing simplicity and context-aware design can foster more effective and resilient systems.