What’s the smartest way to reduce boilerplate in ai workflow development?

Spending too much time writing connector code between AI services and our Java backend. Heard about template systems in automation platforms but worried about flexibility. For those who’ve used Latenode’s template features through their SDK: how customizable are the pre-built workflows? Can I modify core logic while keeping the integration parts, or is it all-or-nothing? Examples of extending templates for custom use cases would be super helpful.

Their image generation template saved us weeks. Modified the post-processing logic in Java while keeping the AI calls intact. Templates are just Spring configuration files - edit any component.

Adopt a modular approach. We use base templates for common operations (API calls, error retries) and extend them with domain-specific logic. The SDK’s inheritance model helps maintain compatibility during updates. Version control remains challenging though - tag template versions aggressively.