Field-tested lessons on AI, engineering, cloud, and design — written by the team shipping it.
Agents that demo well often collapse in production. Here's the engineering discipline that keeps them reliable, observable, and safe at scale.
Retrieval-augmented generation is more than embeddings and a vector store. The quality lives in chunking, ranking, grounding, and evaluation.
The strangler-fig pattern, done right, lets you decompose a legacy system incrementally while it keeps serving real traffic.
A design system is a product, not a project. Here's how we build ones that stay useful as teams and surfaces multiply.
The same architectural choices that make systems fast often make them cheaper. A field guide to spending less without slowing down.
Perfect Lighthouse scores are a byproduct of good engineering, not the goal. How we chase real-world speed for real users.
