Engineering
Architecting for Scale: A Founder's Guide
James Wilson
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Premature optimization is the root of all evil, but complete lack of foresight is just as dangerous. Founders often build their MVPs with "throwaway code", only to find that this code sticks around for years.
Choose Boring Technology
When you are just starting, excitement for new tech is high. Resist it. Choose proven, distinct technologies like Postgres, Redis, and standard REST or GraphQL APIs.
Database Design Matters
You can refactor code easily, but migrating data is painful. Spend extra time getting your data model right. Normalize where it makes sense, but don't be afraid of some practical denormalization for performance.
A well-architected MVP can scale surprisingly far without a complete rewrite.