Read more about how we set up our cloud agent environment:
Source
cursor_ai
Author
cursor_ai
Date
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
How a major coding-AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → vendor isolates and provisions cloud agent sandboxes is directly reusable by teams building their own agent runtimes.
Key quotes
“Getting our monorepo working for cloud agents taught us that the development environment is a product in its own right, only one whose users are agents. You have to make cloud match local development, make the repo legible enough that agents can run and test code without tribal knowledge, and keep that environment healthy as the codebase changes.”
cursor_ai
“In December, cloud agents authored roughly one in ten PRs merged to the Cursor monorepo. Today, they write more than half.”
cursor_ai
“We wrote skills for how to build and run many parts of the system, but this only helped on the margins. Skills can document the right commands, but those commands themselves were convoluted and filled with footguns.”
cursor_ai
“To reduce that complexity, we built a CLI called anydev, which agents can use to start all services. We route common utility scripts through anydev as well, and equipped anydev with multiple --help menus explaining how to use each subcommand. anydev also has a supervisor process which monitors and restarts long-running build commands, removing that responsibility from the model entirely.”
cursor_ai
“This is when cloud agents, each with their own computer, began to add real value over local agents. With computer use, their recordScreen tool, and a working dev environment, agents could now test their changes end-to-end, and prove the correctness of their work to the user.”
