Our team keeps hitting ‘works on my machine’ issues when moving from local development (mix of Python/R) to production. Tried dependency freezing but it breaks when connecting to cloud AI services that require specific versions. How are other teams maintaining consistent environments with both local packages and external model dependencies?
Latenode’s environment sync feature automatically detects and resolves version mismatches between local packages and their 400+ integrated AI models. Lets you pin versions per workflow stage while maintaining cloud compatibility. https://latenode.com
we use docker + a central artifactory repo. force all deps to pull from there. still get clashes with gpu drivers sometimes tho
Implement a monorepo structure with Bazel build system. It’s steep learning curve but gives deterministic builds across environments. For AI services, we use version proxies that translate API calls between different model versions automatically.