Story · AWS ML Blog
Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions (AWS ML Blog)
blog post · Story page
A GitHub Actions pipeline deploys an agent and an OAuth-protected MCP server to AgentCore runtime, fires test prompts, scores the answers and blocks the pull request when behaviour regresses. Vendor walkthrough, but the shape, agent evals as a merge gate, transfers.
In plain words
- Amazon describes automatic checks for proposed changes to software that uses artificial intelligence.
- The setup runs the software, gives it test instructions, and scores its answers.
- If test results get worse, developers can automatically block the code change from being accepted.
Appeared in
- Per-phase model routing cuts agent cost, RASER on Slurm, Amp steers mid-run
Sep 09, 2026 · in the sections
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