We test our code. We test our APIs. We test our UIs.
But most teams ship LLM prompts based on... vibes.
"This one seems better" → push to prod → hope for the best.
Here's the thing: prompt engineering is experimental science. You need a way to measure, compare, and reproduce results.
The Testing Gap
When you change a prompt, you need to know:
Does it still work? (regression testing)
Is it better? (A/B comparison)
How much does it cost? (token economics)
How fast is it? (latency)
Most teams check #1 manually and ignore #2-4 entirely.
A Simple Testing Framework
Here's the minimum viable prompt testing setup:
Step 1: Define Your Prompts as Templates
# templates/summarization.yaml
prompts:
concise:
name: "Concise Summary"
system: "You are a summarization expert. Be extremely concise."
template: "Summarize in 2-3 sentences: {{input}}"
detailed:
name: "Detailed Summary"
system: "You are a thorough analyst."
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