#Engineering
7 articles tagged with "Engineering".
Five AI-Native Architecture Anti-Patterns Engineering Teams Keep Repeating
Engineering teams are repeating the same five AI-native architecture mistakes. Here's how to spot them - and what to build instead.
The Mythic Rewrite: How AI Just Acquired a JavaScript Runtime
Bun's 6,755-commit Rust rewrite from a branch called claude/phase-a-port isn't just a port. It's the first time AI has effectively acquired a production runtime codebase. Here's why that's both exceptional and terrifying.
S3 Isn't Just Storage Anymore - And Your Cost Model Needs to Catch Up
AWS S3 Files turns object storage into a filesystem. Combined with Tables and Vectors, S3 is becoming a universal data platform - and that changes how FinOps teams should model cloud costs.
FinOps Isn't Finance. It's Architecture.
Every architectural decision is a cost decision. Here's why engineering leaders must treat cloud spend as a first-class design constraint, not a finance report.
Jevons Paradox and AI: Why Efficiency Won't Lower Your Bill
A 160-year-old economic law explains why AI costs keep rising despite dramatic efficiency gains. What engineering leaders should understand - and do about it.
The Cooperative of Talent: A New Model for Software Development in the AI Era
AI is reshaping how software gets built. The old models - staffing firms, freelance marketplaces, rigid consultancies - weren't designed for this. The cooperative of talent offers a structural advantage: shared infrastructure, collective intelligence, and individual mastery working in concert.
The AI Team Is an Anti-Pattern
Centralized AI teams create the same bottleneck Team Topologies warns against. Here's how AI capabilities should map to your team structure.