Shadow Deployments for AI Agents: Test in Prod without breaking anything 🚀

If you’ve worked with AI agents in production, you already know one thing. Deploying a new version is not the same as deploying traditional software With non AI systems, you push code and then run tests. If everything looks fine then you go live With agents, things get messy. The same input can produce slightly different outputs. Improvements in reasoning might come with unexpected side effects. Sometimes a “better” model performs worse in edge cases that actually matter So the real challenge is not building a better agent.