AI coding agents have joined your team, and they're not going anywhere. But without a realistic feedback loop, they risk quietly building on top of broken changes and burning through your token budget along the way.
Getting it right means giving the agent a way to know whether its code actually works. By running your agents with mirrord, they can execute pre-existing E2E tests against real databases, real queues, and real downstream services, all without deploying. The agent changes code, runs tests, reads the failure, fixes it, and moves on. One or two iterations instead of twenty.
Our new blog post walks through why this matters more than prompt optimization and how to set it up:
metalbear.com/blog/how-to-pr…