Topic
First-hand accounts from building and scaling engineering teams and products, including the parts that did not go to plan.
7 articles
A Model Context Protocol server that exposes an entire production SaaS platform to an AI agent — content, sessions, devices, analytics, billing, jobs. Seven layers, 289 tools, and no delete button anywhere on the surface.
Everyone is building with AI today. Very few are building systems that actually work in production. This article explores the real gap between models and products, and why thinking like an AI engineer matters more than ever.
A behind-the-scenes look at how I designed and built a production-ready prompt engine - from dynamic templates and reusable components to multi-layer guardrails, structured output, and parallel execution.
Building real-time computer vision on low-end mobile devices comes with unique challenges - especially when every second of inference drains battery. Here's how I optimised similarity search using HNSW and hybrid re-ranking to cut battery usage by over 50%.
When performance is non-negotiable and the app must shine on low-end devices, you start questioning your default stack. Here’s why I chose Preact - the tiny, powerful alternative to React - and how it reshaped my dev experience on the edge.
