AI Agents Get Automated Testing | Tech News

0:00It's September 9th. Welcome in. This is Tech News Today, where the future meets AI. So, AWS just dropped a new way for developers to test their AI agents right within GitHub actions. Think of it like this. Before any new code gets merged, the system automatically runs a bunch of checks on the AI agent. If the agent's performance dips below a certain level, the whole process stops, preventing broken code from going live. This whole setup uses Amazon Bedrock agent core evaluations. It checks how the agent behaves after you tweak its code, its core instructions, the model it uses, or how it connects to other tools. AWS put out a full guide and are ready to go example that shows how to deploy the agent, throw some test prompts at it, and then score how well it did. The cool part is how it integrates with GitHub. Developers can set these AI agent tests as a mandatory step. If the tests fail, nobody can merge their changes. This is a big deal, because it brings AI agent behavior into the same automated testing

1:03pipeline that regular code goes through, making sure everything stays stable. They've built in several evaluators, like checking if the agent actually finished the task, gave the right answer, picked the right tool, and used the right information to do so. In one example, changing the main instructions messed up a few of these checks, but when they fixed it, everything passed. This whole system is designed to catch regressions, meaning it stops new changes from breaking something that used to work. It's all about keeping the AI agents reliable as they evolve, making sure they don't regress in their performance or capabilities.