Shift How You Think About Technology

Practical advice on picking your first programming language — based on what you want to build, not what's trending.

There are only two hard things in computer science: cache invalidation and naming things. Here's how to handle the first one without creating problems worse than the latency you were trying to fix.

Your API has clients. Those clients expect the API to keep working. But the API needs to evolve. Here's how to version your API so you can ship improvements without breaking the people who depend on you.

Your .NET test suite started fast and useful. Now it takes 20 minutes and half the tests are fragile. Here's how to write tests that stay valuable as the codebase grows.

Authentication is security infrastructure with a user experience problem. Here's how to implement it securely without making your users hate the login process.

Components are the building blocks of modern web UIs. But components that work in a tutorial fall apart in a real application. Here's how to design component architecture that survives contact with reality.

The patterns that looked brilliant on the whiteboard but broke in production. Real stories of over-engineering, premature optimization, and the architecture decisions that haunt teams for years.

Functional programming isn't academic theory — it's practical ideas that make your code more predictable. Here's what FP actually means, why it matters, and how to use it in any language.

Git does not have to be intimidating. Here's the mental model and the handful of commands that will cover 95% of what you need to know.

The best software starts as something the builder needed. Not market research. Not user personas. A real person with a real problem, building the thing they wished existed.