Testing AI generated code in Kubernetes (without lighting everything on fire) скачать в хорошем качестве

Testing AI generated code in Kubernetes (without lighting everything on fire)

AI coding assistants are generating more code than ever, but the productivity gains haven’t been as dramatic as expected. That’s because code generation was never the main bottleneck. Testing and integration were. This problem is even more pronounced with AI-generated code, which often lacks full awareness of your application’s architecture and microservices, causing issues to surface late in staging or production. In this workshop, we’ll show how to test AI-generated code safely directly against your staging Kubernetes environment without deploying. Using mirrord, an open-source development tool, local code can run in the real context of your cluster alongside existing services. Through a live demo with Cursor + mirrord, you’ll see how this approach enables fast, realistic feedback on AI-generated changes, catching integration issues earlier and reducing reliance on slow CI pipelines and deployments.