Dev.to
7/20/2026

The original title is "Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics"
Original: Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Short summary
A practical guide to building automated LLM evaluation pipelines, motivated by a production incident where a RAG assistant hallucinated policies to 500+ users. Covers domain-specific judge ensembles (faithfulness, instruction following, JSON schema, safety, domain expert), golden dataset management, and CI/CD integration with code examples. Reports catching 92% of hallucinations pre-deployment.
- •Judge ensemble architecture with faithfulness, instruction-following, safety, and domain-expert evaluators
- •Golden dataset management with versioned, stratified test cases
- •CI/CD integration to block merges that degrade LLM output quality
Generated with AI, which can make mistakes.
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