CI/CD for LLM Applications: Why Deploying a Prompt Is Nothing Like Deploying Code
Your code ships through a pipeline: feature branch → pull request → automated tests → staging → production. Every step is gated. Nothing reaches users without passing the checks you've defined. It's boring in the best way.
Now imagine you need to update a system prompt. You edit the string in your dashboard, hit save, and the change is live immediately — no tests, no staging, no diff in version control, no way to roll back except by editing it back by hand. This is how most teams operate, and it's the reason prompt changes are the primary source of unexpected production outages for LLM applications.
The challenge isn't that teams are careless. It's that the discipline of continuous delivery was built for deterministic systems, and LLMs aren't deterministic. The entire mental model needs to be rebuilt from scratch.
