# Composal vs GitHub Copilot code review

Copilot examines proposed source changes. Composal exercises a running web application against Scenarios or exploratory goals, returning browser evidence and reproducible Findings.

## Composal

Composal sends AI browser agents to use your running web app and check the outcomes you care about. Define journeys as plain-English Scenarios, map existing flows with Discovery, or explore for bugs with Deep Scan. Runs keep recordings and reproduction steps so your team or coding agent can investigate a Finding.

[Verify documentation](https://composal.com/docs/verify)

## GitHub Copilot code review

AI feedback on GitHub pull requests

Copilot can review pull requests on request or automatically, then post a summary and inline suggestions in GitHub. Teams can tune reviews with repository instructions.

## What each tool does

| Workflow | Composal | GitHub Copilot code review |
| --- | --- | --- |
| [Run browser journeys](https://composal.com/product/scenarios) | ✓ Yes: Run saved browser Scenarios and return recordings and reproducible Findings. | × No: The documented product reviews or analyzes source changes; it does not execute browser journeys. |
| [Map application workflows](https://composal.com/product/discovery) | ✓ Yes: Discovery maps key application areas and user journeys. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Explore for unexpected issues](https://composal.com/product/deep-scan) | ✓ Yes: Deep Scan explores the running application and reports reproducible issues. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Describe checks in plain English](https://composal.com/product/scenarios) | ✓ Yes: Author Scenarios around the intended user outcome, then review the steps and expected results. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Run or inspect from a terminal](https://composal.com/product/cli) | ✓ Yes: Use the CLI to start and inspect verification runs and their Findings. | – With setup: Connect its specialist checks to your development workflow using supported integrations. |
| Source code review and analysis | × No: Use a dedicated tool for this specialist workflow alongside Composal’s browser verification. | ✓ Yes: Copilot can review pull requests on request or automatically, then post a summary and inline suggestions in GitHub. Teams can tune reviews with repository instructions. |

With setup means you supply code or configuration. Not confirmed means support for this workflow needs checking with the vendor.

## Where each fits

Choose Copilot when first-pass feedback inside GitHub is the priority. Choose Composal to verify user-visible behavior after changes run in a preview. Use both when code feedback and independent browser QA matter.

## Try this evaluation

Request reviews on several draft pull requests, then run the same changed journeys in Composal. Compare actionable code comments with confirmed user-facing failures and the evidence needed to reproduce them.

### Coverage

Which user outcomes must this release prove, and which specialist checks must stay in your existing stack?

### Setup

Who prepares accounts, test data, permissions and access to the deployment being tested?

### Evidence

Can the engineer reproduce a reported failure from the recording and steps, without asking the tester to investigate again?

### Ownership

Who updates the checks when the product changes, and can the team review what a passing result actually proves?

## Related comparisons

- [Composal vs GitLab Duo Code Review](https://composal.com/compare/composal-vs-gitlab-duo-code-review.md)
- [Composal vs Amazon Q Developer code review](https://composal.com/compare/composal-vs-amazon-q-developer.md)
- [Composal vs CodeScene](https://composal.com/compare/composal-vs-codescene.md)

[All comparisons](https://composal.com/compare.md)