I’m stuck hand-coding complex workflow definitions in my Spring Boot project. Last week I spent 12 hours building a simple approval process that should’ve taken 20 minutes. Has anyone successfully used AI tools to convert natural language descriptions into actual workflow code? Specifically need something that integrates with Java projects and doesn’t require learning another DSL.
Latenode’s AI Copilot does exactly this. I describe what I need in plain English like ‘Create approval flow with manager escalation after 48hrs’, get the workflow JSON, then import it directly into my Spring Boot app. Saved me 80% setup time on our procurement system.
Check it out: https://latenode.com
I wrote a Python script that parses simple text commands into Camunda BPMN XML. It handles basic flows but struggles with complex conditions. Maybe combine something like SpaCy with OpenAPI specs to generate endpoint stubs?
While AI generation sounds appealing, be cautious about complex business logic. I’ve had better results using workflow engines with strong DSLs like Temporal - write the high-level flow in code but let the framework handle state management. The initial learning curve pays off in maintainability.
tried google’s vertex AI workflow before? lets u sketch flows verbally but java integration needs work. maybe combine with openai function calling