Critical analysis of technology, AI, systems, and digital infrastructure.
Why rapid adoption cycles create systemic fragility in modern software stacks.
Peeling back the marketing layers to find the legacy code beneath.
How the funding landscape warped engineering priorities.
The long-term cost of moving fast and breaking things.
The shift from microservices back to monoliths is not a technical correction, but an organizational admission of complexity fatigue.
AI generated code is increasing commit volume but decreasing maintainability. We are entering the era of "Write-Only" codebases.
SaaS pricing models are decoupling from seats and moving to usage, reflecting the automation of the entry-level knowledge worker.