Every stack decision looks reasonable in month one. The consequences show up in month eighteen, when a framework’s limitations start dictating what the product can and can’t do, and rewriting becomes more expensive than the original build.
Optimize for the Team You’ll Actually Have
The right stack depends less on what’s technically superior and more on who will maintain it. A cutting-edge framework with a tiny hiring pool becomes a liability the moment your original engineer leaves. We weigh hiring reality as heavily as technical merit.
Boring Technology Is a Feature, Not a Compromise
Mature, well-documented tools with large communities fail in predictable, searchable ways. Bleeding-edge tools fail in ways nobody has written a Stack Overflow answer for yet. Unless there’s a genuine capability gap only the new tool solves, we default to the boring, well-supported option.
Plan for the Data Model Before the Framework
Framework choice gets the attention, but the data model is what actually determines how painful year two feels. We spend real time on schema design and API boundaries before locking in any front-end framework, because a bad data model outlives any framework migration.
The best tech stack decision is often the one that gets talked about the least two years later — because nobody’s fighting it to ship features.
