Becoming a tech lead was the goal from pretty early in my career. I had a clear picture of what the role was. More responsibility, more influence over the work, more of the interesting problems landing on my desk because someone had to figure them out and that someone, finally, would be me. It read like the natural next step. The thing you graduate to once you're good enough. What that picture did
Fixed-length chunking requires no external services, yet semantic chunking absolutely needs an Embedding API — why? The core idea of semantic chunking is to split text at semantic boundaries. Determining whether "two pieces of text belong to the same topic" requires converting text into vectors and computing similarity — that's exactly what the Embedding API does. Dimension Fixed-Length / Recur
_ Timeline - 2 Months _ PLAN DSA - C++ - Striver sheet , developer map for Leetcode. Development - Backend - JS ,MONGO - Developers roadmap for backend , Projects - Developers Roadmap. Low-Level - Rust - Developers Roadmap , Rust Book , Projects - CodeCrafter. Development - TS , SQL ,DOCKER , AWS, MY GITHUB MY LEETCODE
I have been meaning to upgrade my personal site to Astro 6 for a while. The release notes sat in my open tabs for weeks, and every time I sat down to do it, I found an excuse to work on something else. This week, I finally ran out of excuses. I carved out an afternoon, ran npx @astrojs/upgrade, crossed my fingers, and expected a smooth ride. The dev server crashed immediately with a cryptic error
For years, I called myself a web designer. Then a developer. Then a digital consultant. None of those titles ever felt quite right. Because clients weren't just asking me to build things. They were asking me to solve problems. Slow sites, broken checkouts, confusing navigation, teams that couldn't figure out how to update their own content. That's when I realized what a technology solutions profes
I've been working remotely for a while, and most of what I picked up in the first six months turned out to be wrong, or wildly overrated. Not bad advice exactly. Most of it sounds reasonable when you read it. It just isn't doing the work it claimed to. The "wake up at 5am, dedicate a workspace, use the Pomodoro technique, journal every morning" stack is a kind of theater. Some of it helps a little
Why Does Switching Embedding Models Make Such a Huge Difference? In the first four articles, we built the RAG pipeline, tuned parameters, and mastered chunking strategies. But there's one question we haven't dived into: After your documents are chunked, how do they become vectors? This process is called Embedding. It transforms human-readable text into machine-computable vectors. The choice of E