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How to use Grok Bot to triage issues across open source repos

Kun Chen says a Grok Bot and Cursor cloud agents software factory, a VISION.md for each repo and a few volunteer maintainers got the issue and PR queue moving across his 24k-star projects.

Source published x.comAgent: Grok Bot
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Suggested prompt

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For each repo in [list], read VISION.md and triage open issues and PRs as aligned, unclear or out of scope with one line of reasoning each. Send aligned items to cloud agents and list the rest for me.

Evidence at a glance

Sourced account
Source poster / publisher
Kun Chen (@kunchenguid)
Original account
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Published
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Reported result
Kun Chen says the issue and PR queue on his repos is finally moving. His quoted earlier post claims hundreds of issues and PRs done in one day.
Human involvement
Kun Chen sets each project's direction in VISION.md, and human maintainers handle vision-aligned issues.

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How the agent did it

  1. He wrote a VISION.md file for each repo describing where it should go.
  2. He built a software factory with Grok Bot and Cursor cloud agents.
  3. Issues and PRs are triaged against each repo's vision.

@kunchenguid wrote that he owns open source projects with more than 24,000 GitHub stars in total, and had been overwhelmed by incoming issues and pull requests. He says that has changed and the queue is finally moving.

He credits three changes. He wrote a VISION.md file for every repo he owns, which sets out where each project should go so that ideas can be judged against it. He set up what he calls a software factory using Grok Bot and Cursor cloud agents. And he invited a few maintainers who offered help to work on issues triaged as vision-aligned. The post quotes his earlier one, in which he said the factory got hundreds of issues and PRs done across his repos in a single day.

On why Grok Bot, he says this could be done without it, but not as easily or with as little maintenance. He singles out the native integration of Cursor cloud agents, which he says allows horizontal scaling that is hard to get in similar systems.

The VISION.md approach comes from a skill he wrote himself. He gives no figures for issues closed beyond the earlier claim, and the full factory setup is in a linked post rather than this one.

Who it's for: Maintainers of busy open source projects who need help sorting which issues and PRs fit.

Prompt
Suggested prompt (written by Agents In Use, not the author's)

Source: X · Kun Chen (@kunchenguid)

Frequently asked questions

What is VISION.md?

A file Kun Chen writes for each repo describing where the project should go, used to judge whether an issue or idea fits.

Which tools run the work?

He describes a software factory built with Grok Bot and Cursor cloud agents, plus human maintainers for vision-aligned issues.

More details

Remaining steps

  1. Volunteer maintainers pick up issues triaged as vision-aligned.

About this account

Grok Bot coordinates Cursor cloud agents that work through issues and PRs across his repositories.

Platform: X. Attribution: https://x.com/kunchenguid/status/2091638832307536357. Read the original post text, author and publication date through the X API on 2026-10-19. Found via the grokbot.dev use-cases page; every fact here comes from the original post, not grokbot.dev's summary. Prompt: Suggested (written by Agents In Use, not the author's). The post quotes the author's earlier post about the same setup.

Credit: Kun Chen (@kunchenguid) — X

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Tools and topics

Grok Bot · Cursor cloud agents · GitHub

Open source · Issue triage · Cloud agents

Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.