Field notes from the build floor.
Short essays on AI, product engineering, and the systems behind premium SaaS. Written by the people doing the work.
Shipping AI Agents That Take Action, Not Just Talk
Most 'AI features' stop at a chat box. The ones that move the needle take real actions in your systems — here's how we design agents that do the work without doing damage.
Read articleMCP in Production: Wiring Your Tools Into the Model Layer
The Model Context Protocol turns your internal tools into first-class capabilities for any model. A practical look at what we build, what breaks, and how we keep it secure.
Boring Backends That Scale: Our Default Stack
Why we still reach for Postgres, a typed API layer, and Redis on day one — and the exact patterns that keep them fast at year three.
Designing Dashboards People Actually Read
Information density is a feature, not a bug — if the hierarchy is right. A field guide to making calm, dense interfaces that get used.
From Events to Decisions: A Data Layer That Earns Its Keep
Pipelines, warehouses, and BI only matter if someone changes a decision because of them. How we build analytics that get used instead of admired.
From MVP to Scale: Architecture Decisions That Age Well
Some choices are cheap on day one and ruinous on day 400. What we lock down early, and what we deliberately defer.
The Unglamorous Work: CI/CD and On-Call That Keep You Shipping
Pipelines, environments, and monitoring are nobody's favorite slide — and the first thing teams regret skipping. How we make the boring essentials disappear.
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