Mastering AI: Becoming an AI Engineer in the AI Era
A practical roadmap for turning AI hype into real engineering skills: product thinking, data + evaluation, LLM/RAG basics, and shipping responsibly.
Hello! Light mode buddy here.
Notes on software engineering, shipping products, and building fast, maintainable web experiences.
A practical roadmap for turning AI hype into real engineering skills: product thinking, data + evaluation, LLM/RAG basics, and shipping responsibly.
A practical E2E testing approach for this repo: cover real user flows, run in CI, and publish readable reports for review.
How I wired remote image optimization with Next.js `next/image` for `https://*.imgcdn.dev/*`, and the dev-only DNS64/NAT64 edge case that can break images locally.
A practical comparison of MongoDB and SQLite: what they are, how they differ, pros/cons, and when each one makes sense in real projects.
A practical guide to Next.js rendering: what CSR/SSR/SSG/ISR/PPR mean, how they work in the App Router, and when to use each.
A simple, repeatable system to prevent Core Web Vitals regressions using field data (p75), lightweight RUM, CI budgets, and basic third-party governance. TL;DR: CWV stays good when you (1) measure real users at p75, (2) alert on regressions…
barayuda.web.id is rebuilt with a modern fullstack Next.js stack (TypeScript, Tailwind, Turso). I'm open to remote work.