Why we architect before we code
AI can write 80% of your code. But if the architecture is wrong, you'll rewrite 100% of it. Here's how we think about system design.
Most dev shops start typing the moment a brief lands. We don't.
Before a single line of code exists, we answer three questions:
1. What are the system boundaries? Every product talks to external services — payment processors, CRMs, email providers, APIs. We draw the boundary first. What's ours, what's theirs, and where do they meet?
2. What's the data model? Get the data model right and everything else follows. Get it wrong and you'll spend six months fighting your own database. We sketch entities, relationships, and access patterns before choosing a framework.
3. What's the deployment topology? A Next.js app on Vercel is different from a Python service on Railway is different from a Chrome extension in the Web Store. The deployment target shapes the architecture, not the other way around.
Only after these three answers are clear does AI start writing code. And when it does, it writes fast — because the constraints are right.
This is what we mean by "We architect it. AI builds it." The architecture is human. The code is AI-accelerated. The result is a system that doesn't need rewriting in six months.