Tagged: Evals
3 articles on evals.

•6 min read
Table Stakes for Pragmatic Development Using LLMs
Updated for 2026: lessons from two years of using Claude Code in production. Context engineering, real eval frameworks, model economics, and agent workflows — what actually works.
EngineeringRead more →

Every Failed AI Product Has the Same Root Cause
After 12 years in ML and AI, I keep seeing the same failure pattern: teams that ship fast and iterate on vibes instead of building systematic evaluation systems. Evals are not a nice-to-have — they are the core competency of any serious AI product team.
ProductRead more →

Why Your LLM Evaluator Is Lying to You
LLM-as-judge evaluators feel like quality assurance but behave like rubber stamps. They fail hardest on the outputs that matter most — edge cases, safety-critical errors, domain-specific nuance. Here is what to do instead.
EngineeringRead more →


