How intentional loading decisions keep your app fast at scale. Frontend performance is not a late-stage cleanup task. It’s not tech debt. It’s a set of decisions we make every day while we code — what we load, when we load it, and how we render it. The answer depends on the importance of the code, its size, and when the user actually needs it. Get that wrong, and the browser pays for everything
I’m going on a short vacation this week, so this post is coming out a bit earlier than usual. I actually had a different, more “useful” topic in mind — something educational, something responsible. But then I came across this fascinating article: I don’t like Tailwind. Sorry not sorry written by @freshcaffeine , and I couldn’t get it out of my head. So I decided to write a response instead. I actu
What Is an Atomic Transaction? Before we begin, let’s define atomic transaction clearly: “It is a protective wrapper around multiple state updates that guarantees the whole operation either succeeds completely or has no effect at all.” Inside an atomic transaction, you can perform multiple set() calls, and even cross multiple await boundaries. Only when the entire operation succeeds do we commit
The "Unsharable" Dashboard Problem Imagine this common B2B SaaS scenario: An executive opens your analytics dashboard. They spend three minutes configuring the data—they filter the status to "Active," set the date range to "Last 30 Days," sort the table by "Highest Revenue," and navigate to Page 4. They copy the URL and Slack it to their team lead. The team lead clicks the link, but instead of see
I shipped gni-compression to npm two days ago. One of the first questions I got (from myself, running benchmarks at midnight): does it work on anything other than chat data? Short answer: not yet. Long answer: I found out exactly why, and it led me somewhere more interesting than I expected. After the npm launch I ran GN against Silesia — the standard general text compression benchmark suite. Dick
Most React performance problems are not architectural. They are not about picking the wrong state manager or choosing the wrong rendering strategy. They are small habit things that look perfectly fine in isolation but compound quietly across a codebase until your app feels sluggish and you are not sure why. This article covers five of the most common ones, with code examples so you can see exactly
Introduction Picture two doctors updating the same patient record at the same time - one in São Paulo, the other in London. Both are offline. When connectivity returns, whose changes prevail? This is not a hypothetical. It is the everyday reality of distributed systems: multiple nodes, no shared clock, no guaranteed network. The conventional answer has long been locking - one node waits while an
I keep seeing the same argument about AI making us dumber. It's the same argument people had about search engines, and before that books. The usual response is to point at history and say "every generation panics, every generation was wrong, relax." I think that response is half right, and the wrong half is what bothers me. Tools change what we bother to remember. The people who'd trained their wh