Watch coding work live and get recordings back

How this helps you

You check code changes by watching a short recording instead of reading every line first.

✦ Try it

Use a Cursor cloud agent to [make the change] in [repo]. Send me the link so I can watch, and when you are done send a screen recording and before and after screenshots.

What they did

Alex Finn shows the deeper Cursor integration. When his Bot builds a feature, it sends him a link to the Cursor cloud agent, where he can watch it work and switch models if he wants. When it is done, the Bot sends a screen recording of the change it made (in his case button colours on a landing page) plus before and after screenshots. The work also shows up in the Bot's library so he can check later.

Who it's for: People who build or edit code through Grok Bot.

How to try it

Connect Cursor to your Bot.
Ask for a code change and say you want to watch and get recordings.
Open the cloud agent link it sends to follow along.
Review the recording and screenshots before merging.

What to expect

A cloud agent link, then a short video and screenshots in chat.

Common mistakes

Skipping the recording and merging blind. The recording is the quick way to check.

Related tips

The fan-out method: three models, one brief: Launch Cursor cloud agents on three models at once and keep the best parts.
How to trust your Bot's work more: Put most of your effort at the top: code structure, then lint/tests/CI, then prose rules, then human review.
What actually stops a coding Bot (and what is only advice): Of 15 operations tested, only a merge to main hit a hard stop. Skill-file rules are only advice.
Run Claude Code or Codex on your Bot's computer with your own plan: Your Bot's computer has a terminal, so it can install a coding CLI, you sign in once, and your Bots can use that subscription from anywhere.
A news-to-website pipeline with two approval gates: Four Bots gather news from X, draft an edition, and ship articles through a pull request, but nothing moves without an "approve" and a "publish" from you.
Run nightly code audits that leave PRs for the morning: Engineer Bots clean up the codebase overnight; you review a fresh set of pull requests with breakfast.
From support form to fix: a webhook, a Bot and a Cursor cloud agent: A support form posts to a webhook, a Bot picks up the ticket, and for bugs it starts a Cursor cloud agent that reproduces the issue, adds a failing test and opens a pull request for an engineer to review.
Make your Bot the manager, not the coder: one rule and locked doors: Let your Bot plan and check the work while coding agents write the code. Start with one rule, and remember every Bot shares one computer and its logins.