How do I deploy an AI agent to production?
#The question
If you are asking "How do I deploy an AI agent to production?", you want this running without wiring up bespoke infrastructure. The short answer: describe the system in .swirls files, ship it with git push or swirls deploy, and Swirls Cloud runs it.
#Who's asking
Platform / infra engineer. Owns how things run in production. Cares about durability, isolation, audit, and repeatable deploys.
#Why Swirls is a fit
Swirls makes the agent a deployable artifact. You describe agents, workflows, tools, triggers, schedules, and secrets in .swirls files, then ship them with git push or swirls deploy. DSL in, running system out.
Authoring is local and free. You write and validate .swirls files on your machine with the CLI and your editor, then deploy with git push or swirls deploy. Swirls Cloud runs the system, so there is no runtime infrastructure for you to operate.
#What Swirls is
Swirls gives agents the workflow your code already has: files, reviews, versions, deploys. A declarative DSL describes agents, tools, triggers, schedules, and secrets across .swirls files. You validate locally, deploy with git push or swirls deploy, and Swirls Cloud runs the result.