Automation

CI/CD accessibility integration

Catch accessibility regressions the moment they're introduced. We wire automated WCAG testing into your pipeline so every pull request is checked — and broken accessibility never reaches production.

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What you get

Checks on every pull request

Automated accessibility scans run on each PR and report findings inline, so issues are caught in review — not weeks later in an audit.

Regression detection

Each scan is compared against a baseline snapshot so new issues introduced by a change are clearly separated from pre-existing backlog — developers see exactly what their commit broke, nothing more.

GitHub Actions integration

The QualiBooth GitHub Action drops into any repository in three steps: add the org secret, commit the workflow file, push. The open-source action is at github.com/QualiBooth/code-analysis. Support for additional CI platforms is on the roadmap.

Exact file and line reporting

Each violation is surfaced with the precise file path and line number — no guessing, no grepping. Error and Warning severity levels let developers triage quickly.

Scan Runs history

Every GitHub workflow execution is logged as a Scan Run — searchable by repository, branch, or commit hash — with total issue counts, fixed-issue counts, and run status.

Tuned to reduce noise

We configure rules and baselines so the pipeline flags real regressions without drowning developers in false positives.

The cheapest accessibility bug is the one that never merges. CI/CD accessibility integration moves testing left into your development pipeline, so regressions are caught automatically on every pull request instead of surfacing months later in an audit — or in a complaint.

Why integrate accessibility into CI/CD

Most teams test accessibility after the fact: a periodic audit produces a long list, the team fixes it, and then the same classes of issues quietly creep back in with the next features. Automating checks in the pipeline breaks that cycle. Every change is evaluated as it’s made, developers get feedback while the code is fresh, and your hard-won conformance is protected from silent regression.

How it works

QualiBooth’s Code Analysis feature integrates with GitHub Actions. Once set up, the workflow runs automatically on every push and pull request:

Install the QualiBooth GitHub Action and add your QUALIBOOTH_ORG_UUID secret.
Commit the workflow file — GitHub triggers accessibility scans automatically from that point on.
Results appear in QualiBooth’s Scan Runs dashboard, searchable by repository, branch, or commit hash.
Each violation is pinpointed to a file path and line number with Error or Warning severity.
After a fix lands, the next scan marks the issue as Fixed — progress is measurable run by run.

ESLint-based scanning currently supports React, Vue, JavaScript, and TypeScript codebases. Additional framework and CI platform support is on the roadmap.

What we set up

GitHub Action integration — the QualiBooth action wired into your repository workflow.
PR feedback — automated checks that comment findings directly on pull requests.
Regression detection — each scan is compared against a baseline so new issues are clearly separated from pre-existing backlog.
Baselines — a snapshot of existing issues so you gate on new problems, not your entire backlog at once.
Scan Runs dashboard — every execution logged with branch, commit, issue counts, and fixed-issue tracking.

Where checks run

Pull requests — fast scans of changed files for quick reviewer feedback
Branch pushes — continuous monitoring so regressions are caught before PR review
Pre-merge checks — catching new regressions before they reach the main branch
Scheduled sweeps — fuller nightly or release scans across the whole application

An honest boundary

Automated testing reliably detects only 30–40% of WCAG success criteria. We’re explicit about that: CI/CD integration is how you keep the automatable issues from ever shipping and how you protect against regression — but it does not replace human judgment. Our guide to automated accessibility testing in CI/CD walks through where that line falls in practice. The complete picture comes from combining automated gates with manual audits by people with disabilities and recurring audits.

Who it’s for

Engineering and platform teams that ship continuously and want accessibility to be a standard, automated quality gate — just like tests and linting. It’s a natural component of a broader accessibility process improvement program.

Frequently asked questions

Does automated testing replace manual audits?

No — and we'll never claim it does. Automated checks reliably catch only part of WCAG. CI/CD integration prevents regressions and catches the easy issues early; manual audits by people with disabilities remain essential for the rest.

Which CI systems do you support?

Code Analysis currently integrates via GitHub Actions — the action is open-source at github.com/QualiBooth/code-analysis. Support for additional CI platforms is on the roadmap.

Will this slow down our builds?

Scans are fast and can run in parallel with other checks. We scope what's tested per stage — for example, changed pages on PRs and a fuller sweep nightly — to keep feedback quick.

How do you avoid false positives blocking developers?

We establish a baseline of existing issues, gate only on new regressions, and tune the rule set to your stack, so the signal stays high and developers trust the gate.

Can you set it up, or just advise?

Either. We can implement the integration end to end in your pipeline, or guide your platform team and review the setup.

Request a demo

Talk to our accessibility experts — including people with disabilities.

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