Engineering notes from the studio.
Practical writing on building scalable SaaS products, operational software, and production AI systems.
Designing multi-tenant SaaS that survives 100x growth
The architectural decisions that matter most when you expect a product to scale — and the ones that quietly create debt.
Grounding AI agents in real operational data
How we wire RAG pipelines and agents into proprietary data with audit trails and human-in-the-loop controls.
Replacing spreadsheets with internal tools that scale
A practical framework for identifying which manual workflows deserve dedicated software — and which don't.
Event-driven pipelines without the operational headache
Queue-backed architectures give you resilience and scale, but they introduce complexity. Here's how we keep it sane.
Shipping a credible v1 without architectural debt
MVPs don't have to be throwaway. The patterns that let an early build become the foundation for the next ten releases.
Observability that actually helps you ship faster
Tracing, metrics, and logging strategies that turn production incidents into quick fixes instead of all-nighters.