Dev Tools · 13h ago
Building Production-Grade LLM Evaluation: From Vibes to Metrics
A team shares how they replaced manual 'vibe checks' with an automated LLM evaluation pipeline that catches 92% of hallucinations before deployment. The system uses domain-specific judges, CI/CD integration, and golden dataset management to detect regressions. It blocks merges that degrade quality, preventing incidents like a customer support bot citing nonexistent policies.
Meridian48 take
The post offers a practical blueprint for moving beyond ad-hoc testing, but the 92% figure needs independent verification—hallucination detection is notoriously hard to benchmark.
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