Building Production LLM Systems: Lessons from 10 Enterprise Deployments
LLMs are powerful, but deploying them reliably at scale is a different challenge. Here's what we've learned from real-world enterprise deployments.
Deep dives, practical guides, and honest takes on AI, engineering, and building for the future.
After working with 20+ enterprise clients on AI transformation projects, we've noticed clear patterns in what separates successful AI deployments from expensive failures. Here's our honest take on the landscape.
Read Article →LLMs are powerful, but deploying them reliably at scale is a different challenge. Here's what we've learned from real-world enterprise deployments.
Most teams overpay for cloud infrastructure by 40-60%. We break down the most common culprits and the architecture decisions that actually move the needle.
An honest assessment of where MERN fits in the modern frontend landscape, and when you should consider alternatives like Next.js + tRPC or Remix.
Trust is the hardest UX problem in AI. We explore the patterns that build confidence and the anti-patterns that destroy it, based on our work on 15+ AI products.
A practical guide to building deployment pipelines that are robust enough to ship on any day of the week without sweaty palms.
RSC changes how you think about data fetching. After migrating three large apps, here's our opinionated take on when and how to use them.
Partner with us to turn bold ideas into intelligent, scalable solutions. Let's start a conversation about what's possible for your business.