Plugin Architecture on Interesting AI

Architect + AI: The Career Leap from Coder to System Orchestrator

Mon, 17 Aug 2026 00:00:00 +0000

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.”

Plugin Architecture and Extension Points: Guiding AI Toward Modular, Pluggable Development for Decoupled, Iterable Features

Mon, 17 Aug 2026 00:00:00 +0000

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.