Evals: The Underrated Core Skill for AI Engineers

Developers argue that evals are the most underrated skill in AI engineering, sharing a practical methodology: build a small app with real failure modes, analyze 100+ production traces, then define metrics and build layered golden datasets.

2026-10-29 ~ 2026-10-30 · 2 related posts

• Evals: The Most Underrated Skill in AI Engineering, From Error Analysis to Versioned Golden Datasets — sudoraohacker · 2026-10-29
• Master LLM evals step by step: read 100 traces by hand, then build a versioned golden dataset — datawithsuman · 2026-10-30