A journey through four generations of programming languages—from procedural C to modern Go and Rust—exploring how each solved the problems of its predecessors while introducing new tradeoffs in memory management, performance, and developer experience.

Saying ‘I don’t know’ might be one of the hardest things in our industry — but a wrong answer costs far more than silence. Why embracing uncertainty makes you a better engineer and a more trustworthy colleague.

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.