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