The growing need for scalable, maintainable, and fast-deploying systems has made microservice architecturewidely popular in software development. This paper presents a system that uses Large Language Models(LLMs) to automate the API-first development of RESTful microservices. This system assists in creatingOpenAPI specification, generating server code from it, and refining the code through a feedback loop that an-alyzes execution logs and error messages. By focusing on the API-first methodology, this system ensures thatmicroservices are designed with well-defined interfaces, promoting consistency and reliability across the de-velopment life-cycle. The integration of log analysis enables the LLM to detect and address issues efficiently,reducing the number of iterations required to produce functional and robust services. This process automatesthe generation of microservices and also simplifies the debugging and refinement phases, allowing developersto focus on higher-level design and integration tasks. This system has the potential to benefit software devel-opers, architects, and organizations to speed up software development cycles and reducing manual effort. Toassess the potential of the system, we conducted surveys with six industry practitioners. After surveying prac-titioners, the system demonstrated notable advantages in enhancing development speed, automating repetitivetasks, and simplifying the prototyping process. While experienced developers appreciated its efficiency forspecific tasks, some expressed concerns about its limitations in handling advanced customizations and larger-scale projects. The code is publicly available at https://github.com/sirbh/code-gen.