Testing AI Systems Requires a Different Mindset
Deterministic test thinking breaks on AI systems. You test distributions, not outputs. The shift is from assertions to evals, from pass/fail to acceptable variance, from regression to drift.
#ai-testing
#quality-engineering
#llmops
#evals
#ai-engineering
The Future of Software Engineering Is Model Routing, Not Model Worship
Betting your architecture on a single frontier model is a design mistake. The durable pattern treats models as interchangeable, tiered backends behind a routing layer driven by cost, latency, and eval-measured quality.
#ai-engineering
#software-architecture
#llmops
#model-routing
#ai-cost-optimization
Engineering Productivity Is the New Quality Engineering
Quality engineering didn't get absorbed by automation. It got absorbed by platform and engineering productivity. The leverage moved from finding defects to shaping the system that produces them.
#engineering-productivity
#quality-engineering
#platform-engineering
#developer-experience
#software-architecture
The Hidden Cost of AI Adoption Nobody Talks About
The real cost of AI in the SDLC isn't tokens. It's the verification tax, the erosion of system knowledge, and non-determinism leaking into a pipeline that was built on the assumption of determinism.
#ai-engineering
#ai-cost-optimization
#software-architecture
#llmops
#engineering-leadership
