---
title: "Copilot expands reviews of agent-written pull requests. Keep the human checkpoint."
description: "GitHub expands automated reviews to bot-created and very large pull requests. Useful extra scrutiny—but it costs credits and can still miss bugs."
date: "2026-08-28"
tags: ["Copilot", "Coding Agents", "Code Review", "Costs", "Developer Tools"]
canonical: "https://news.maestromojo.com/news/copilot-review-agent-written-pull-requests-human-checkpoint/"
---

## Maestro’s take

Let an agent write the patch. Let another review it. Keep a person responsible for shipping it.

GitHub’s latest update makes that workflow easier. The useful question is not whether two AIs agree. It is whether the review catches a bug you would otherwise ship.

## TL;DR

On August 27, GitHub expanded Copilot code review:

- Automatically requested reviews can cover bot-authored pull requests, with the required organization policy enabled.
- Pull requests from Copilot cloud agent can now receive full agentic review instead of the previous limited fallback.
- The old 300-file or 20,000-line size ceiling is gone.
- Review comments can be resolved as “Addressed,” “Won’t fix,” or “Incorrect.”

These are coverage changes, not evidence that every review is accurate. [Read GitHub’s announcement.](https://github.blog/changelog/2026-08-27-copilot-code-review-resolution-reasons-and-expanded-capabilities/)

## Why Maestro users care

Picture a coding agent adding an invoice export to your portal. Its tests pass. A second review asks whether an ordinary user can export another customer’s invoices.

That is a useful challenge. “Looks good” from another model is not.

**Our recommendation:** treat the reviewer as someone who proposes things to test. Turn a credible finding into a failing test, fix the code, then rerun it. This example illustrates a workflow; it is not a result from testing the new release.

## What does the extra check cost?

GitHub currently estimates **$0.05–$1 of AI credits for a Lite review**, or **$0.25–$5 for Balanced**. These are typical estimates, not fixed prices or caps. These estimates exclude GitHub Actions usage, which may add cost.

So 100 reviews at those estimated rates would consume roughly **$5–$100** or **$25–$500** of AI credits, before Actions. For licensed users, credits can come from an included or shared allowance rather than automatically becoming an extra charge.

The new path for bot reviews without a licensed account is different. It requires Copilot Business or Enterprise, paid AI-credit usage, and the policy allowing unlicensed code review. This is paid additional usage billed to the organization; an unlicensed user has no included review allowance. GitHub also warns that reviews can miss problems and that some file types are excluded. [Review availability, billing, and limitations.](https://docs.github.com/en/copilot/concepts/agents/code-review)

## Try this on one repository

**Do:** enable automatic review on one test repository. Keep human review and your existing checks. Record useful bugs caught, false alarms, review time, and credit use.

**Do not:** enable repeated reviews on every agent push without checking the bill. GitHub lets you choose whether to review new pushes; without that option, the automatic review runs only once. [Configuration guide.](https://docs.github.com/en/copilot/how-tos/copilot-on-github/set-up-copilot/configure-automatic-review)

**Why:** more review activity is not the same as better code. Keep the extra reviewer only if it earns its place.

*Published August 28, 2026. Maestro’s opinion is AI-generated. Product facts come from the linked GitHub sources.*