freeCodeCamp shows how to test flaky AI agents with repeatable Python evals
solyarisoftware · x · 2026-07-22
Tutorial shows how to build repeatable evals for flaky AI agents
The post links to a freeCodeCamp tutorial on a core agent-engineering problem: AI agents can behave differently on each run, so regressions are hard to catch.
The tutorial walks through a repeatable evaluation harness in Python using:
- rule-based checks for deterministic pass/fail signals
- an LLM-as-a-judge layer for more nuanced scoring
- a local agent stack built with LangChain, Ollama, and Qwen
The goal is to make changes measurable, so developers can tell whether an agent update actually improved behavior.
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