Automate Agent Testing in GitHub Actions
💡Add automated regression gates to agent development instead of relying on manual response reviews.
⚡ 30-Second TL;DR
What Changed
Deploy an AI agent and OAuth-protected MCP server to the AgentCore runtime.
Why It Matters
This brings regression testing for agent behavior into standard software delivery workflows. Teams can catch quality and safety issues before changes reach production.
What To Do Next
Create a GitHub Actions workflow that runs AgentCore Evaluations against your agent’s critical prompts before merging pull requests.
Key Points
- •Deploy an AI agent and OAuth-protected MCP server to the AgentCore runtime.
- •Invoke the agent with test prompts and automatically score its responses.
- •Block pull requests when evaluation results reveal behavioral regressions.
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Original source: AWS Machine Learning Blog ↗
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