The gap between what an engineer wants and what they have to write has always been the biggest friction point in infrastructure work. You know you need an RDS instance with read replicas, private subnet placement, automated backups, and encryption at rest — but expressing that as Terraform requires knowing the exact resource types, argument names, and provider-specific quirks. Conversational DevOps inverts this: you describe what you want, and the AI handles the translation.
DevOps Genie's infrastructure assistant works through a structured dialogue. You describe your intent in plain English — 'I need a PostgreSQL database for a staging environment, multi-AZ, accessible from the app tier, automated 7-day backups' — and the assistant asks clarifying questions about things that matter: which VPC, what instance size, should it use the existing parameter group or create a new one. Once it has enough context, it generates a complete Terraform module that follows your team's conventions, references your existing modules where appropriate, and includes the supporting resources like security groups, parameter groups, and subnet groups.
The output isn't just syntactically valid Terraform — it's code that passes your team's review standards because it was generated with knowledge of how your team writes infrastructure. The PR goes through your normal review process. Engineers review, comment, and merge exactly as they would with human-written code. The difference is that the first draft took 3 minutes of conversation instead of 2 hours of documentation hunting.