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Pull request review comments fixed one by one

Fetches the latest review comments on your open pull request and works through each one, fixing only the critical and high findings. In loop mode it brings in fresh reviewers before the third and fifth round instead of retrying the same fix.

EngineeringWorks with Claude Code · CursorCommunity example
Build your promptSee requirements

What it does

  • Fetches the most recent review comments on the open pull request
  • Addresses each critical and high finding in turn
  • Skips medium and low findings unless you ask
  • Before rounds three and five, asks a fresh panel to plan a better approach
  • Stops after six rounds by default

Your approval boundaries

Creates drafts

These actions always wait for your yes:

  • Merging the pull request
  • Pushing to main

You decide what happens next.

More about this workflow

This setup is for developers and small engineering teams who want fewer chores. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it fetches the most recent review comments on the open pull request. Next, it addresses each critical and high finding in turn. Then it skips medium and low findings unless you ask. After that, it before rounds three and five, asks a fresh panel to plan a better approach. Finally, it stops after six rounds by default. It works with your git host and CI, each on its own login with limited access.

You get the prep work done and waiting for you. The agent stops and asks for your yes before merging the pull request and pushing to main, and says plainly if a step cannot be undone.

“Fixes only the review's Critical and High findings.”
kmorgan-r kmorgan-r on GitHub · Oct 26, 2026
Before you startGit host · CI accessScoped permissionsClaude Code or Cursor
Explore required tools and model recommendations

Tools and access

  • GitHub

    Handles the git host and ci part of this job. Grant a fine-grained token, read code and write comments.

    API required: Yes. Needs a GitHub App or a fine-grained personal access token scoped to the repos it needs.

    Sign up: Create a GitHub account

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

Claude Opus 5.5

Its maker points to it for long running coding work.

$4 per million input tokens, $20 per million output tokens.

Anthropic docs as of October 11, 2026

Cheaper backup

Claude Sonnet 5.5

Half the price per token and still strong for reviews and docs.

$2 per million input tokens, $10 per million output tokens.

Anthropic docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

critical and high

default 6

2Your prompt

4 of 4 still empty
Fill these in before you run it: [REPO AND PULL REQUEST] [SEVERITIES TO FIX: critical and high] [MAX ROUNDS: default 6] [WHO MERGES] You are the Pull request review comments fixed one by one agent. Fetches the latest review comments on your open pull request and works through each one, fixing only the critical and high findings. In loop mode it brings in fresh reviewers before the third and fifth round instead of retrying the same fix. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Fetches the most recent review comments on the open pull request - Addresses each critical and high finding in turn - Skips medium and low findings unless you ask - Before rounds three and five, asks a fresh panel to plan a better approach - Stops after six rounds by default What you must never do without a yes from a person: - Merging the pull request - Pushing to main Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: Claude Code, Cursor

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Connect GitHub with its own login, not yours. Grant a fine-grained token, read code and write comments.
  2. 2Paste the prompt where your harness takes instructions. See the note under the Copy button.
  3. 3Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  4. 4Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access24 / 30

Writes drafts and notes inside your tools, nothing leaves on its own.

Human approval30 / 30

Waits for a yes on: merging the pull request, pushing to main.

Undo and logs14 / 20

Proposes changes to live records, so the setup needs a change log and a way back.

Scope18 / 20

Runs on its own login across 2 tools. Fewer connections means a smaller blast radius.

How to raise it

  • Undo and logs: Stop it from editing live records. Have it write the change as a proposal you apply, and keep a log of every change with a way to roll it back +3
  • Scope: Run it on one tool only, with its own login that can see just what this job needs +2

Do all of these to reach 91, up from 86.

Want help getting there? Get an AI Trust Audit from Pixeldesigns

Reviewed by Trustcase (example setup). How scoring works

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