Why I’m Building an AI Engineering Blog
AI is moving ridiculously fast — like, blink-and-you-miss-it fast. There’s always some new tool, a shiny API, or a groundbreaking paper that drops out of nowhere. For someone like me, who comes from a web development background, jumping into AI feels a bit like getting dropped into a sci-fi movie… without the script. That’s exactly why I decided to spin up ai.ashis.dev — a place to document everything I’m learning as I fumble, explore, and occasionally figure stuff out in the world of AI.Documenting My Learning Journey
This isn’t a domain I originally come from. I live in the world of web apps, JavaScript frameworks, weird CSS bugs, and responsive UIs. So when I started exploring things like tokenization, self-supervision, and vector embeddings, I realized I needed a better way to compartmentalize what I was learning. Blogging in a linear, narrative format is great — and I’ll continue doing that on ashis.dev— but AI demands more structure. Hence, this documentation site.A Digital Garden for My AI Mind
Think of this site as my AI garden — not a finished product, but a growing collection of notes, guides, snippets, and experiments. Here’s what you’ll find (or eventually find) here:- AI engineering basics (tokens, RAG, parameters, etc.)
- Experiments with tools like Cursor, V0.dev, and Windurf
- Rules of thumb and mental models for using AI tools effectively
- Technical paper breakdowns (like “Attention is All You Need”)
- Prompt engineering tips and real-world use cases
- Project notes and build logs as I try to make sense of all this

