A developer demonstrates using DeepEval to evaluate an enterprise agent, contrasting its test-case-first paradigm with RAGAS's batch evaluation. The implementation uses a custom judge LLM (glm-4-flash…
AI red teaming tools like Giskard, DeepEval, and Promptfoo automate adversarial testing to systematically find edge-case failures in model logic, moving beyond manual 'vibe checks' that risk PR disast…
A developer found that an LLM judge gave opposite results for the same eval run on consecutive days due to position bias, one of three systematic biases documented in the 2023 paper "Judging LLM-as-a-…
A developer gated CI on six open-source LLM evaluation frameworks in a real GitHub Actions merge queue for eight months, finding that only Promptfoo and DeepEval survived due to their deterministic ch…
A new comparison of LLM evaluation frameworks RAGAS, DeepEval, and Promptfoo reveals that the LLM-as-a-judge mechanism they all rely on has measurable biases—position bias, self-preference bias, and v…
A developer warns that 38% of AI teams cite 'evaluation debt' as their primary blocker, where offline agent evals fail to catch production failures because they measure past data rather than shifting …
A developer explains how to add evals to an LLM feature, using an outbound AI calling agent as an example. The process involves defining a business outcome metric, curating a representative dataset of…
Researchers evaluated the relevance of several RAG metrics by comparing scores from four libraries (Ragas, DeepEval, RAGChecker, Opik) against human evaluators and standard metrics using a question-an…
A developer evaluated six LLM-as-judge tools—DeepEval, Confident AI, Evidently, Braintrust, Promptfoo, and Future AGI—and found that none of them prioritize validating judge outputs against human labe…
A developer at a company building a contract-extraction agent using Pydantic schemas with Claude 3.5 Sonnet and GPT-4o/4.5 encountered three production failures that appeared unrelated but stemmed fro…
AI evaluations are essential for distinguishing working systems from broken ones, yet many companies ship AI into production without systematic quality checks, relying on 'vibe checks' instead. A four…
Mallikarjun G D and Daniele Caldarigi published Jenkins blog posts on May 26, 2026, detailing two GSoC 2026 projects extending the Jenkins ecosystem with AI chatbot plugins. G D's plugin adds an LLM-a…