Articles
Field notes on software, security, and AI from the ABIE team.
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As energy infrastructure faces new pressures, the software and systems that run modern grids become critical. Here’s why production-grade engineering matters when stakes are this high.
Major AI companies are discussing superintelligence risks. But awareness without rigorous engineering won’t keep AI systems safe in production. Here’s what actually matters.
Geopolitical shocks ripple through oil markets and corporate operations. The companies that survive depend on software engineering that anticipates failure, not demos that assume everything works.
Existential fears about AI are real, but so is the engineering discipline needed to build trustworthy AI products that last. The gap between demo and production matters more than ever.
A Minnesota police drone rescue shows how real-world AI systems must be engineered for reliability, not just capability. Behind every life-saving application sits serious software architecture.
As politicians navigate shifting voter priorities, the gap between intent and impact mirrors a familiar challenge in software: the difference between what sounds good in theory and what actually works in production.