💻 AI Increases the Value of Software Architecture
As AI evolves, the cost of writing code is trending toward zero, shifting the development focus from implementing functions to designing architecture. The primary issue with models lies in their "architectural blindness": they excel at local optimization but can compromise global system integrity by creating cyclic dependencies.
🌍 A fundamental shift in value is occurring in software engineering—from coding skills to system design skills. Architectural decisions and documentation (ADR, CLAUDE.md) are becoming critical control signals for AI agents.
👤 It is important to understand that the ability to "prompt" functions is only a small part of the job. An engineer's long-term demand will depend on their ability to design resilient systems that AI cannot destroy through its local optimization.
Source 1: https://wilburhimself.github.io/blog/65-why-ai-doesnt-replace-software-architecture/