03 Load code search model - 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.
In this hackathon, we will be generating code with AI/ML provided by the well established computate project. We will automatically generate OpenAPI specs, database table schemas, Java POJOs, Vert.x Reactive Java APIs, Handlebars HTML page templates, JavaScript page and API functions, NGSI-LD Context data, OpenShift Custom Resource Definitions, and Ansible Operator roles and playbooks for any of the hundreds of open source Edge device data related FIWARE Smart Data Models available here: https://github.com/smart-data-models