From coding agent to production worker
How do I automate work from Claude Code or Cursor in production?
To automate work from Claude Code or Cursor in production, use the coding agent to define and create the worker, then hand execution to a hosted runtime that can run on a schedule, webhook, or tool call.
Keep credentials, run history, and human approval in that runtime instead of relying on an open laptop or a long-lived terminal session.
Answered by Floom · Updated
Coding agents are good at turning a plain-language job into files, instructions, and tool calls. Production operation is a different responsibility: the work needs a durable place to run, a trigger, controlled access to services, and a clear record when a run succeeds or fails.
The clean handoff is to let Claude Code or Cursor help build and update the worker while a worker platform owns execution. That keeps development conversational without making a developer's terminal the production server.
How it works
Build in the agent, run in a worker platform
- 01
Describe the job
In Claude Code or Cursor, state the outcome, inputs, tools, schedule or trigger, approval boundary, and the output a successful run must produce.
- 02
Create the worker
Use Floom through MCP or its CLI so the coding agent can create the worker definition in the shared workspace rather than leaving a one-off local script.
- 03
Test with safe inputs
Run on sample or limited data, inspect the output, and confirm that actions requiring approval actually pause before they reach another system.
- 04
Enable the production trigger
Turn on the schedule, webhook, or tool call in Floom. The hosted worker continues running after the coding-agent session and laptop are closed.
At a glance
The handoff from a coding session to a production worker
| Concern | Claude Code or Cursor | Floom runtime |
|---|---|---|
| Primary role | Describe, create, inspect, and update | Host, trigger, and record runs |
| Lifetime | Interactive development session | Persistent scheduled or triggered worker |
| Credentials | Used during development when needed | Connected to the production worker scope |
| Risk control | Agent confirmation during building | Approval in Slack or by email before risky output |
| Team access | Developer's agent and repository | Shared workspace and visible runs |
Floom example
A concrete Floom example: a weekly client status worker
A developer can tell Claude Code or Cursor: build a worker that checks the approved project sources every Friday, drafts a client status update, and asks the account owner before sending it. The coding agent can use Floom's MCP server or CLI to create that worker from the request.
Floom hosts the resulting worker and runs it on the chosen schedule. The account owner receives the proposed update in Slack or by email, reviews it, and controls whether the outward-facing action continues.
The next week does not require the original coding session, an open terminal, or another reminder. The worker definition can still be inspected and changed from the coding agent when the process evolves.
Frequently asked questions
Short answers to the next questions.
- Does Claude Code or Cursor need to stay open after setup?
- No. The coding agent helps create or update the worker, while Floom hosts and runs it. Once the production trigger is enabled, the original terminal or editor session can close.
- How does a coding agent connect to Floom?
- Floom exposes an MCP server and a CLI. Claude Code, Cursor, and other compatible coding agents can use those interfaces to work with worker definitions and production controls.
- Can the production worker run on a schedule or webhook?
- Yes. Floom workers can run on a schedule, a webhook, or a tool call. Choose the narrow trigger that matches the job and test it before enabling the full workflow.
- How are risky production actions controlled?
- Put an approval boundary before the external action. Floom can ask the responsible person in Slack or by email, and the worker waits for that decision before continuing.
A worker for the repeated work
Describe the job. Keep the approval.
Floom runs AI workers in the background and asks before outward-facing work moves forward.