Technology

Modern software isn't slow because of bad algorithms. It's slow because it spends the majority of its time doing nothing, waiting for responses that could be parallelized or eliminated.

Software tests are written by the same people who wrote the code. That means they share the same blind spots. Here's what that costs you.

Adding features is how teams show progress. Removing them is how teams show judgment. The second one is much harder.

The code that's easiest to understand is also the easiest to throw away. That's not a bug in the philosophy. It's the whole point.

Integer overflow isn't a beginner's mistake. It's a design decision deferred until it becomes someone else's emergency.

Every optimization adds complexity. Complexity adds overhead. Here's the specific machinery by which your app gains weight every time you try to put it on a diet.

Adding features is easy to justify. Removing them requires confronting sunk costs, user assumptions, and organizational politics all at once.

The gap between localhost and production isn't a bug. It's a category of assumptions your development environment quietly makes for you.

The mental model most people have of internet data is wrong in ways that matter. TCP/IP is stranger and more clever than a simple pipeline.

Removing a node from a distributed system sounds like sabotage. Sometimes it's the most rational engineering decision you can make.

The code you write and the instructions your processor executes are separated by layers most programmers never think about. That gap is where performance lives.

Microservices promised independence and scale. For many teams, they delivered complexity and fragility instead. Here's why — and how to tell if you're already stuck.

Developers optimize the code they understand best, not the code that's actually slow. Profilers exist to fix this. Most teams don't use them.

A deep dive into how the LLVM project exposed a class of bugs that experienced engineers had written confidently for years, and what that teaches us about trusting our own mental models.

The padlock icon gets all the credit. The real work happens in the cryptographic handshake most people have never heard of.

Caching is supposed to make your app faster. But a misconfigured cache doesn't just slow things down — it serves confidently wrong answers to the users who matter most.

A crash tells you something is wrong. A silent bug lets you keep shipping broken software for months before anyone notices.

A notorious NASA software failure shows what happens when programmers assume the machine understands intent. It never does.