# Composal vs GitHub CodeQL

By Composal. Sources reviewed: 2026-10-15.

CodeQL queries source models to identify code-level issues. Composal interacts with an application in a browser and records tested outcomes; neither form of evidence replaces the other.

## 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.ai/docs/verify)

## GitHub CodeQL

Semantic code queries for security and correctness analysis

CodeQL builds a database of code and runs queries to find security vulnerabilities and correctness issues. Teams can use standard or custom queries.

[Official product or project documentation](https://codeql.github.com/docs/codeql-overview/about-codeql/)

## Where each fits

Choose CodeQL when semantic queries, security scanning, or custom source analysis are needed. Choose Composal for hosted browser Scenarios, Discovery, and exploratory Findings tied to a live product.

## Try this evaluation

Enable an appropriate CodeQL query set for a changed endpoint, then test the endpoint’s web flow in Composal. Compare source findings with runtime outcomes and retain each result for the audience it serves.

### 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?

## Sources and scope

Prepared by Composal with AI-assisted research using the linked first-party product pages and documentation. These are workflow comparisons, not independent benchmarks or an exhaustive feature inventory. A documented capability is not a guarantee for every plan or environment; validate your own requirements in a trial.

- [GitHub CodeQL](https://codeql.github.com/docs/codeql-overview/about-codeql/)
- [Composal Verify](https://composal.ai/docs/verify)
- [Composal Deep Scan](https://composal.ai/product/deep-scan)

No comparative speed, price or accuracy score is claimed here. Product names belong to their respective owners.

## Related comparisons

- [Composal vs OWASP ZAP](https://composal.ai/compare/composal-vs-owasp-zap.md)
- [Composal vs Burp Suite](https://composal.ai/compare/composal-vs-burp-suite.md)
- [Composal vs JetBrains Qodana](https://composal.ai/compare/composal-vs-qodana.md)

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