Plugin Architecture

In this series, we have discussed a range of engineering practices: frontend-backend separation, DDD (Domain-Driven Design), layered architecture, DI (Dependency Injection), RESTful (Representational State Transfer), async & concurrency, SSE (Server-Sent Events), plugin architecture, and Project Rules. It may look like a lot of technology, but they all ultimately point to the same question: Now that AI can generate large amounts of code, what is still the most important capability for a programmer? The answer is shifting from: “How to write the code” to: “How to design a system in which AI can write code correctly.” ...

AI writes code fast, but it is also prone to a typical problem: Every time a feature is added, more if/elif branches pile into the core code. For example: if domain == "legal": ... elif domain == "finance": ... elif domain == "medical": ... With few features this is fine, but as the types keep growing, the core module becomes increasingly bloated, and every new feature risks affecting existing logic. A more reasonable approach is to define upfront: Plugin Extension Point And let AI follow one principle: New capabilities should preferably be added as new modules, not by modifying the core flow. ...