Developers at large companies often believe they’re solving harder technical problems than their startup counterparts. The reality? The technical challenges are often similar—it’s the politics and disengagement that make things complicated.

Best practices don’t age well. They emerge to solve specific problems, and when those problems fade, so should the dogma. So why do so many developers adopt techniques without asking what problem they were solving in the first place?

Building a distributed job scheduler doesn’t require Kafka, Redis, or complex coordination protocols. For small-to-medium scale SaaS products, your database can handle the coordination. Here’s how to build one in Go.

A clickbait blog post claimed errors.Is() slows code by 3000%. The real lesson? The author misused sentinel errors for a non-error condition.

What you read about Google today is their polished answer to problems from a decade ago—problems you likely don’t have. Why take their medicine for a condition you probably never had?