05 Run application in development - Red Hat AI Hackathon Java Code Generation
Read more here https://github.com/smartabyar-smartvi...
Red Hat AI Combinator Hackathon entry
Smart Device API Code Generation with AI/ML hackathon
By Christopher Tate
Because reactive/asynchronous APIs are more efficient and scalable, but are much more complex to build by hand. We can use code generation to build extendable APIs consistently, faster, and more secure with AI/ML Code Generation based on the well established computate open source project. Increase Quarkus API and web developer productivity with OpenAPI Code Generation based on code comments. Easily deploy new edge device models and edge device models following open source FIWARE smart data model schemas with AI/ML predictive code generation.
We can develop and generate new Java code in the cloud thanks to the VSCode Image for Java that runs on Red Hat OpenShift AI. We can also run the code we've developed in the cloud in OpenShift AI. We create an OpenShift Service, Route, and NetworkPolicy to access the live code running in development and test out our newly generated PhotovoltaicMeasurement dashboard and API. See how easy OpenShift AI makes it to develop Java Quarkus/Vert.x applications in the cloud.