TechnicalPerspectives .
Essays on the intersection of deep systems architecture, software craftsmanship, and the philosophical implications of modern tooling.
Why AI Agents Break in Production (And How to Build Around It)
Autonomous agents look compelling in a demo. In production, they hit walls that no amount of prompt engineering can fix. Here is what actually fails, and the design principles that let teams ship reliable agentic systems.
Read EssayPostgres Is Still the Right Answer in 2026
The database ecosystem has never been more fragmented. Vector databases, graph stores, time-series engines: every six months a new category emerges. PostgreSQL has been quietly absorbing them all, and for most teams, that changes the calculus.
Read EssayEventual Consistency Is Not a Bug
Distributed systems do not share a single universal clock. Most design mistakes start by pretending they do. Here is the model that actually holds at scale, and the operational posture that makes it survivable.
Read EssayThe Cost of Abstraction: Lessons in High-Performance Systems
Modern development environments prioritize velocity through layers of indirection. For most systems, that tradeoff is correct. For high-performance systems, it can be a trap. Here is how to know the difference, and when to reach through the layers.
Read EssayCode as Craft: Why Velocity Without Intention Accumulates Debt
The industrial metaphor for software (factory output, sprint velocity, story points) shapes how teams think about their work in ways that quietly erode quality. Here is what the craft metaphor offers instead, and why it produces more resilient systems.
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