04 Code Generation - 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.
It's time to run the computate code watcher to watch for Java Classes being created and figure out how to help us code them based on FIWARE Smart Data Models. See how the watcher can guess which Smart Data Model you are trying to deploy and output the code you need. After using the suggested code, the watcher will generate thousands more lines of code to build a complete API, dashboard and more for a PhotovoltaicMeasurement Smart Data Model. The code it generates will compile successfully because we have a complete set of data about all our dependent projects and their Java Classes.