Designing Multi-Platform Systems in 2025

In the rapidly evolving landscape of AI-assisted software development, a dangerous pattern is emerging. Developers are increasingly relying on "vibe coding"—generating code based on loose semantic intent without rigorous architectural constraints. While this dramatically speeds up the initial prototype phase, it creates substantial technical debt that becomes visible only when scaling to production.

The Context Trap

Large Language Models (LLMs) excel at local optimization—writing a perfect function or class—but struggle with global coherence. When a codebase exceeds the context window (or effective attention span) of the model, hallucinated imports, mismatched types, and inconsistent patterns begin to creep in.

Architecture as the Guardrail

The solution isn't better prompting; it's better systems. By treating AI as an implementation detail within a strict architectural framework (e.g., Domain-Driven Design or Clean Architecture), we can constrain the AI's output space to valid, production-ready code.

This approach allows us to maintain 10x velocity without sacrificing long-term maintainability. It transforms the role of the developer from "writer of code" to "architect of systems".