The Unreasonable Effectiveness of Boring Technology
Every few months, a new framework promises to change everything. A new database claims to solve problems you didn't know you had. A new deployment paradigm emerges that makes the old way look primitiv
Every few months, a new framework promises to change everything. A new database claims to solve problems you didn't know you had. A new deployment paradigm emerges that makes the old way look primitive. And every few months, the companies that actually make money keep running on the same boring stack they chose five years ago.
This pattern repeats so reliably that you'd think we'd learn from it. We don't.
The Innovation Tax
There's a hidden cost to choosing exciting technology that never shows up in any benchmark or feature comparison. I call it the innovation tax. It's the time you spend reading changelogs instead of shipping features. It's the weekend you lose because a minor version bump broke your build. It's the knowledge that evaporates when the framework's Discord server goes quiet.
PostgreSQL doesn't have a Discord server with 47 channels. It doesn't need one. The manual is sufficient because the behavior is predictable. This is an underrated feature.
What 'Boring' Actually Means
Boring doesn't mean old, slow, or bad. Boring means predictable. It means the failure modes are well-documented. It means Stack Overflow has answers for your edge cases from 2014 that still work. It means the person you hire next year will already know how it works.
We built all four of our products — DocuMint, CronPing, FlagBit, and WebhookVault — on FastAPI, SQLite, and Docker. Not because these are the most exciting choices. Because they're the most productive ones. FastAPI has excellent documentation. SQLite requires zero configuration. Docker means deployment is the same everywhere.
The Compound Returns of Familiarity
Here's something the 'use the right tool for every job' crowd misses: expertise compounds. Your tenth project on the same stack ships in a fraction of the time because you've already internalized the patterns. You know where the gotchas hide. You've built the utility functions. Your mental model is detailed enough that you can debug by reasoning rather than by googling.
Switching stacks resets that compound interest to zero. Sometimes that's worth it. Usually it isn't.
When to Break the Rule
Boring technology is a default, not a law. If your product is the technology — if you're building a real-time collaboration tool and need CRDTs, or a video processing pipeline that genuinely needs GPU compute — then the exotic choice is the boring choice, because it's the one that actually solves your problem.
The test is simple: are you choosing this technology because your product requires it, or because you want to learn it? Both are valid reasons. Only one of them ships products.
The Boring Stack Manifesto
Choose the technology your future self will thank you for at 2 AM when something breaks. Choose the technology with the longest, most boring changelog. Choose the technology that your competitors dismissed as old-fashioned three years ago and will still be running three years from now.
The most unreasonable thing about boring technology is how consistently it wins.