What is an evaluation harness?
An evaluation harness is the standardized infrastructure that decides what gets evaluated, runs the evaluation, and acts on the result.
The post What is an evaluation harness? appeared first on Arize AI.
An evaluation harness is the standardized infrastructure that decides what gets evaluated, runs the evaluation, and acts on the result.
The post What is an evaluation harness? appeared first on Arize AI.
Twitter said pick a side. The eval said the question was wrong. Six months ago, MCP (model context protocol) was the hot new thing: tool usage with a built-in discovery…
The post MCP vs. CLI Skills for agents: what our eval found (and which you should use) appeared first on Arize AI.
This post was written in April 2026. Cloud products, feature maturity, and recommended patterns change over time, so readers should treat these examples as directional guidance. For teams already using Arize, there is a natural extension of that pattern. Prompt Playground can sit upstream of the config layer as the place where prompts are edited, compared, and versioned before they are promoted into whatever config system the company already trusts in production.
The post Prompt templates as configs, not code appeared first on Arize AI.
Coding agents can update prompts, wire in tools, and change application logic across your codebase in a single run. The hard part isn’t getting the agent to make changes, but…
The post How to add an evaluation harness to your Gemini CLI coding agent appeared first on Arize AI.