Mutation testing, but for LLM evals — early experiment, would love feedback
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I write evals for LLM features, wire them into CI, and move on. But a passing eval suite has a blind spot: it tells you nothing about whether it would actually fail if the model quietly got worse. Green isn't the same as good. So I built muteval to measure that directly. It borrows mutation testing from software engineering — you deliberately break the thing under test and check whether your tests catch it. muteval degrades the system (weakens a prompt rule, drops a retrieved doc, swaps in a…
1Key Takeaways
- I write evals for LLM features, wire them into CI, and move on.
- But a passing eval suite has a blind spot: it tells you nothing about whether it would actually fail if the model quietly got worse.
- So I built muteval to measure that directly.
- It borrows mutation testing from software engineering — you deliberately break the thing under test and check whether your tests catch it.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that i write evals for LLM features, wire them into CI, and move on.
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