An opinionated list of Python frameworks, libraries, tools, and resources
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
🤔 Why v0 Output Alone Isn't Production-Ready If you've used v0.dev to spin up a landing page, you've probably hit the same wall on the next step. The component looks clean inside v0, but the moment you drop it into your Next.js project the design tokens drift, dark mode breaks, metadata is empty, and Lighthouse scores land in the 60s. This isn't a v0 limitation — it's that v0's output is "desig
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? Splitting into multiple independent parallel requests is almost always faster. This isn't a gut feeling — it's determined by the underlying inference mechanism of LLMs. Let's walk through the reasoning from first principles. To understand this problem, you firs