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Why we build on Nuxt, FastAPI and PostgreSQL

Boring technology is a feature. We default to a stack chosen for reliability, hiring and long-term maintainability, not novelty.

Code editor with backend service code beside a printed system architecture diagram

Boring technology is a feature. We default to a stack chosen for reliability, hiring and long-term maintainability, not novelty.

Clients rarely care which framework their software uses, and they shouldn’t have to. But the stack quietly decides how fast you can move, how easy it is to maintain, and whether you can hire someone else to work on it later. Here is why we default to Nuxt, FastAPI and PostgreSQL.

Frontend: Nuxt & Vue

Vue is approachable, well-documented and widely adopted, which means a large talent pool and a gentle learning curve for your team. Nuxt adds the production essentials, routing, rendering, SEO-friendly output and structure, so we ship fast interfaces that are also fast to find on Google. It is a pragmatic balance of developer speed and end-user performance.

Backend: Python & FastAPI

FastAPI gives us a clean, high-performance API layer with automatic, always-accurate documentation. Crucially, it lives in the Python ecosystem, the same language as virtually every modern AI and data library. That means the API serving your app and the AI doing the clever work speak the same language, with no awkward bridges.

Choosing Python for the backend means the road to AI and data work is already paved.

Data: PostgreSQL

PostgreSQL is the most capable open-source database in wide use, rock-solid, standards-compliant and able to handle everything from simple records to complex queries, JSON and even vector search for AI. It scales with you, it is free of licensing traps, and it is not going anywhere. For most businesses, it is the last database decision you need to make.

Key takeaways

  • Vue + Nuxt: a big talent pool, fast UIs and SEO-ready output.
  • FastAPI keeps the backend in Python, the language of AI and data.
  • PostgreSQL is reliable, capable and free of lock-in.
  • Boring, proven tools keep software maintainable for years.

When we reach for something else

A default is not a dogma. We use specialized databases for heavy search or time-series data, managed services where they save you money, and different frontend approaches for things like data-heavy dashboards. The stack serves the problem, not the other way around. What never changes is the priority: choose tools your business can live with, hire for and trust for the long haul.

Quick answers

Related questions

No. These are mainstream, open technologies with large communities, and you own all the code and infrastructure. Any competent team can pick it up.
Often, yes. If you already run a particular framework or database, we can build within it or integrate alongside it rather than insisting on ours.
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