My long-form takes on coding, gaming, product design, and random musings, neatly organized by date of epiphany.
After working in large React codebases, I've learned that performance problems are rarely about one bad component. Here's how I think about optimisation, visibility, and whether React 19 is actually worth pitching to your manager.
LLMs write frontend code better than almost anything else. Here's why — and why that still doesn't mean they can own the whole job.
MCP (Model Context Protocol) lets you give AI models structured access to your tools, APIs, and data. Here's what they actually are, how to build one, and when they're worth it.
Token limits are the real constraint on how useful AI can be. Here's how to think about context windows, and practical ways to get more out of every request.
A practical guide for frontend and full-stack engineers who want to ship AI-powered features without a machine learning background.
RSC is the biggest shift in React in years. Here is the honest take on the tradeoffs, the footguns, and what it actually means for how you build Next.js apps.
Core Web Vitals, INP, LCP, CLS — a deep dive into what these metrics mean, why they matter, and the practical fixes that move the needle.
A look back at 2025, how AI helped me move from frontend to owning products end to end, and what it taught me about engineering judgment.
Learn how to integrate Spotify's API with Next.js and create your own dynamic 'Now Playing' feature. Perfect for showcasing live music tracks on your website.
Understanding what you are offering to your user sets a clear motive for the team to operate on.
Automating the build process for my old portfolio website!
My take on why everyone should learn the cloud and be empowered by it!