The Case for Boring Technology in 2026

Everyone's chasing the new thing. AI-native architectures, serverless everything, the framework-of-the-month. And sometimes those choices make sense. But for most businesses solving most problems, boring technology is the right call.

Dan McKinley wrote the definitive piece on this idea back in 2015, and it's only become more relevant with time. His essay, Choose Boring Technology, introduced the concept of "innovation tokens" — the idea that every company only gets a few chances to adopt something new before the complexity starts working against them. His advice: spend those tokens on the things that actually differentiate your business, and use proven, well-understood tools for everything else.

He explicitly calls out PHP, MySQL, and Postgres as examples of technology that is boring and good. I couldn't agree more.

A Laravel monolith backed by MySQL, deployed on a straightforward server, will outlast and out-deliver most over-engineered microservice architectures. It's debuggable. It's deployable by one person. It's understandable by the next developer who inherits it. The failure modes are known. The hosting is cheap. The talent pool is deep. There's nothing glamorous about it, and that's exactly the point.

I've watched teams burn months adopting Kubernetes for an app that serves a few thousand requests a day. I've seen projects stall because half the engineering effort went into wiring up a microservice mesh instead of building the product. The technology choices were interesting — the products never shipped.

Meanwhile, the most successful projects I've worked on were almost comically simple under the hood. Laravel, MySQL, a VPS, a deployment script. The clients didn't care what was in the stack. They cared that it worked, that it was fast, and that changes didn't take weeks.

I'm not anti-innovation. I'm anti-complexity for its own sake. When a client or employer asks me to solve a problem, my first instinct is to reach for the simplest tool that gets the job done reliably. That's not a lack of ambition — it's 20 years of learning what actually works in production.

The boring stuff works. That's why it's still here.