Choosing a tech stack in 2026: a founder's guide
The wrong stack won't kill you at launch; it kills you in year two. How we choose technology clients can hire for, scale, and afford.
Stack decisions rarely hurt at launch; almost anything can power a demo. They hurt in year two, when hiring, scaling, and iteration speed either compound or collapse. So we choose technology with three questions: can you hire for it, can it grow with you, and will it still be maintained in five years.
Our default answer is deliberately boring: TypeScript end to end, Next.js or React Native at the edges, Node or Python services, PostgreSQL for data, and a managed cloud underneath. Boring is a feature. It means an enormous hiring pool, battle-tested tooling, and answers on Stack Overflow instead of in someone's head.
Managed beats self-hosted until the invoice says otherwise. Early on, your scarcest resource is engineering attention, and every hour spent babysitting infrastructure is an hour not spent on product. We reach for Kubernetes and custom infrastructure when scale demands it, not before.
The AI layer deserves the same discipline. Model APIs are interchangeable enough that you should design for swappability: a thin abstraction over the provider, evals that catch regressions when you switch, and no vendor-specific magic buried deep in business logic.
The most expensive words in software are 'we'll rewrite it later'. The second most expensive are 'let's use something exciting'. Choose the stack that makes your next fifty hires productive in week one. Excitement belongs in the product, not the plumbing.