Engineering deep-dives, product lessons, and technical opinions from the team building products every day.
A deep dive into the architecture, model choices, and MLOps pipeline behind a production fraud detection system handling a major fintech platform's entire transaction volume.
We've built production apps with both. Here's what we've learned about performance, DX, ecosystem maturity, and when to pick each.
Database-per-tenant vs. shared schema, row-level security, tenant isolation - the architecture decisions that will either save or haunt you at scale.
Chunking strategies, embedding models, hybrid search, and re-ranking - the details that separate a demo from a production RAG pipeline.
The shortcuts that seem harmless at week 2 become catastrophic at week 52. Here are the patterns we fix most often when clients bring us their struggling MVPs.
After migrating 8 client projects to the App Router, here are the gotchas, performance wins, and patterns that actually work in production.
How to get the benefits of Kubernetes - auto-scaling, self-healing, zero-downtime deploys - without drowning in configuration complexity.