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cursor-pr-discipline
Keep AI-assisted PRs scoped, reviewable, and human-decided
AI-assisted PRs tend to expand beyond the original request. cursor-pr-discipline is a free set of Cursor Project Rules (.mdc files) that help keep PRs scoped, reviewable, and human-decided. Free Pack on GitHub includes: - no-unrequested-changes.mdc - one-pr-one-topic.mdc - classify-before-merging.mdc Pro Pack v0 on Gumroad ($29) adds execution result triage, AI review triage, and human merge decision log templates.
I'm a solo founder building this at night and on my days off.
I kept watching Cursor do exactly what I asked — and then a little more.
A refactor I didn't request. A helper function I didn't need. A small extra change that made sense in isolation.
By the time I noticed, the PR was much harder to review than it should have been.
So I built a small set of .mdc rules for myself.
The goal is simple:
Help keep AI-assisted PRs scoped, reviewable, and human-decided.
The Free Pack is on GitHub — no signup, no email, just the files.
The Pro Pack adds triage templates for cases where AI review output or execution results need a human decision before the next step.
If you're using Cursor solo or in a small team, I'd genuinely love to hear how you handle PR scope today.
About cursor-pr-discipline on Product Hunt
“Keep AI-assisted PRs scoped, reviewable, and human-decided”
cursor-pr-discipline was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #155 on the daily leaderboard. AI-assisted PRs tend to expand beyond the original request. cursor-pr-discipline is a free set of Cursor Project Rules (.mdc files) that help keep PRs scoped, reviewable, and human-decided. Free Pack on GitHub includes: - no-unrequested-changes.mdc - one-pr-one-topic.mdc - classify-before-merging.mdc Pro Pack v0 on Gumroad ($29) adds execution result triage, AI review triage, and human merge decision log templates.
On the analytics side, cursor-pr-discipline competes within Productivity, Open Source, Developer Tools and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how cursor-pr-discipline performed against the three products that launched closest to it on the same day.
Who hunted cursor-pr-discipline?
cursor-pr-discipline was hunted by Hideaki Kubo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of cursor-pr-discipline including community comment highlights and product details, visit the product overview.
I'm a solo founder building this at night and on my days off.
I kept watching Cursor do exactly what I asked — and then a little more.
A refactor I didn't request.
A helper function I didn't need.
A small extra change that made sense in isolation.
By the time I noticed, the PR was much harder to review than it should have been.
So I built a small set of .mdc rules for myself.
The goal is simple:
Help keep AI-assisted PRs scoped, reviewable, and human-decided.
The Free Pack is on GitHub — no signup, no email, just the files.
The Pro Pack adds triage templates for cases where AI review output or execution results need a human decision before the next step.
If you're using Cursor solo or in a small team, I'd genuinely love to hear how you handle PR scope today.