Practical posts on AI, full stack development, and building things that actually ship.
Most developers are experts at HOW to build — but WHY and WHAT to build are where real product thinking lives. A Design Sprint changed how I see this gap.
Learn how to monitor LLM-powered applications in production — tracking latency, token usage, error rates, and hallucinations using practical tools and strategies.
A practical comparison of OpenAI and Vertex AI for teams building production SaaS products — covering cost, reliability, model quality, latency, and vendor lock-in.
Step-by-step guide to integrating Google Vertex AI into your Node.js application — from project setup and authentication to making your first generative AI call.
A practical guide to building Retrieval Augmented Generation (RAG) pipelines using JavaScript, LangChain.js, and OpenAI — with working Node.js code examples.
Learn how to set up AI workloads on Google Cloud with a step-by-step guide. Train and deploy AI models using AutoML, Cloud Functions & Cloud Run.
JavaScript vs TypeScript: A comprehensive comparison exploring the advantages, disadvantages, and optimal use cases of JavaScript and TypeScript in web development.