AI Coding Agents: Which Code Architectures Work Best
AI agents write code, but they have limits: constrained memory and a finite context window. That means traditional architectures (TDD, OOP, MVC) behave differently when an agent is doing the work. This article examines which approaches help agents and which do not.
AI-processed from Habr AI; edited by Hamidun News
AI agents write code, but they run into constraints: their memory and context window are far smaller than a human's.
Why does code architecture matter for AI agents?
Because an agent cannot see the whole system at once. It has to understand the task, find the relevant files, work out how they connect, and make changes, all within a limited context window. Different architectures help or hinder that process in different ways.
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