How to add an evaluation harness to your Gemini CLI coding agent

The text discusses the integration of an evaluation harness with a Gemini CLI coding agent to improve Large Language Model (LLM) applications. It highlights the challenge of verifying changes made by coding agents, which can alter application logic faster than teams can evaluate them, and suggests that traditional spot checks are insufficient for complex, multi-step changes. By using Gemini CLI and Arize Skills, a more systematic approach is advocated, allowing for the tracking of changes, scoring outcomes, and identifying regressions before deployment. The evaluation harness provides a structured workflow that includes managing inputs, executing evaluators, and taking evaluation actions like alerting on regressions or updating prompts. The synergy between Gemini CLI, which can modify systems, and Arize AX, which measures changes, enables a continuous improvement loop by adding instrumentation, tracing behavior, exporting data, and refining agent operations. Arize Skills facilitate this process by providing predefined workflows for observability and evaluation tasks, ensuring consistency and efficiency in improving LLM applications.

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