EvalGate tool flags AI prompt quality drops automatically in CI pipelines

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A developer has released EvalGate, an open-source TypeScript tool designed to detect silent degradation in AI prompt and agent output during the software build process. The tool works by running a declarative evaluation suite, storing a quality baseline, and comparing subsequent pull request runs against that baseline to identify regressions. Rather than judging whether a prompt is objectively good, EvalGate only asks whether it has gotten worse than the version on the main branch, making the check objective and automatable. It supports ten scoring methods including exact matching, JSON schema validation, embedding similarity, and cost or latency budgets. The tool ships with a deterministic offline mock provider, meaning all tests can run without API keys, and it posts a score delta table as a comment on each pull request.

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