While ChatGPT cannot fully automate the entire deployment and operational lifecycle of event-driven systems, it can significantly accelerate several key aspects in startup projects. It excels at generating boilerplate code for event publishers and subscribers, designing event schemas and payloads, and suggesting architecture patterns for message queues or stream processing platforms. Furthermore, ChatGPT can assist with writing integration tests, documenting system flows, and even proposing initial error handling strategies based on best practices. However, it requires human oversight for complex business logic implementation, performance tuning, and production deployment specifics, making it a powerful development assistant rather than a complete autonomous solution for building robust event-driven architectures. More details: https://manager.taoic.com/adapi/jumplink?ad_id=36&link=https%3A%2F%2Fabcname.com.ua