Composal vs GitHub CodeQL

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.

See where each fits ↓

Two workflows, side by side

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 →

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.

Read GitHub CodeQL's product documentation ↗

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.

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