AI as an Engineering Discipline
AI amplifies rigor or chaos depending on the process. This article covers the operating model I use to ship faster without compromising architecture, quality, or long-term maintainability.
AI amplifies rigor or chaos depending on the process. This article covers the operating model I use to ship faster without compromising architecture, quality, or long-term maintainability.
For me, DX isn't just about fast builds or shiny tools. It's about clarity, discipline, and rigor. This article covers the tooling philosophy and concrete setup choices that let me move fast without accumulating the kind of friction that slows teams down over time.
How product missions differ from project delivery and why alternating between them has made me a more adaptive engineer. One rewards ownership, iteration, and long-term thinking. The other rewards speed, scope control, and clean handoffs. Most engineers specialize — I think the combination is what builds real versatility.
Patterns for multi-tenant SaaS systems without sacrificing isolation or speed. Covers tenant-scoped data strategies, shared infrastructure trade-offs, and the architectural boundaries that let white-label platforms scale without turning into a maintenance nightmare.
Lessons from bridging the STid access control SDK into a React Native app — from native modules to production reliability. Native bridging in React Native is one of those areas where the documentation ends and the real engineering begins. This covers the practical decisions, failure modes, and patterns that made it work.
From skeptic to pragmatist — how fast-check and Stryker changed my perspective on testing. I used to see unit tests as overhead. Property-based testing and mutation testing showed me what I was actually missing — and why confidence in a test suite requires more than green checkmarks.