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Architecture Design
System architecture design for AI, Web3 and full-stack products — the design decisions made before the first line of feature code.
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Before writing feature code, I design the system architecture: how data flows, where state lives, what's a service boundary, and what infrastructure decisions will be expensive to reverse later.
How I Build This
- Clean separation of domain logic from infrastructure — the same principle behind this site's own content engine, where the entity schema doesn't know or care that GitHub happens to be the persistence layer.
- Explicit decisions about where state lives (database vs. graph vs. vector store vs. cache) based on what's actually being modeled, not habit.
- Designing for the deployment target from the start — e.g. this site's own choice to prerender every route because the audience includes AI crawlers, not just human browsers with JavaScript.
- Documented trade-offs, not just diagrams — why a decision was made, not only what it is.
Who This Is For
Founders and teams starting something non-trivial who want the foundation to be right before scaling, not a retrofit after the second production incident.
FAQ
Is this a one-time deliverable or ongoing?
Both are available — a focused architecture review and design document, or ongoing architectural ownership as the system grows.
Do you also implement what you design?
Yes — architecture design pairs naturally with the full-stack and AI development services.