Evaluation Guides
Explore 4 curated evaluation guides for building with AI coding agents — what each one does, when to use it, and how to add it to your workflow.
Best LLM & RAG Evaluation Tools in 2026: DeepEval vs RAGAS vs LangSmith vs Phoenix vs promptfoo
A decision guide to the LLM eval landscape — code-first frameworks vs. eval-and-observability platforms, open-source vs. hosted, and which fits your stack.
LLM-as-Judge: Build Evaluators You Can Actually Trust
Design and calibrate LLM-as-judge evaluators — rubrics, pointwise and pairwise scoring, bias controls, human agreement, reliability tests, and CI gates.
LLM Evaluation Metrics Explained: Which One to Use and When
A practical map of LLM and RAG evaluation metrics — why BLEU/ROUGE fail open-ended text, how LLM-as-judge and RAG metrics work, and which to pick per task.
Write Evals for an LLM App: From Zero to a CI Gate
How to evaluate an LLM feature — build a dataset, choose metrics, set a baseline, score offline, add an LLM judge, and gate CI so quality changes are measured.