
CodeFrog is a free desktop software quality testing tool for macOS and Windows that integrates with popular IDEs and AI coding agents like Claude Code, Cursor, and Augment. Geared towards developers and quality engineers, it provides a holistic view of application health by running 18 test categories—including accessibility (WCAG A/AA/AAA), security (OWASP Top 10), SEO, HTML validation, and code analysis—and synthesizes results into an A-F health score. This core value of consolidation saves hours of manual testing and tool switching, enabling faster iteration and higher quality releases.
Developers often struggle with fragmented testing processes, relying on multiple standalone tools for accessibility checks, security scanning, SEO audits, and code quality analysis. This fragmentation leads to inconsistent results, redundant work, and overlooked vulnerabilities. CodeFrog addresses this by providing a single application where all these tests can be executed against localhost, staging, or production environments. It automates WCAG compliance checks using axe-core, scans for OWASP Top 10 vulnerabilities, verifies semantic HTML, and performs static analysis with Semgrep and OpenGrep—all in one run. The problem of manually correlating results from different sources is replaced by a unified Mega Report that highlights critical issues first, saving developers time and reducing the risk of shipping flawed software.
Among CodeFrog's 18 test categories, accessibility testing is a standout feature, performing automated WCAG A/AA/AAA conformance checks using the industry-standard axe-core engine. This covers color contrast, keyboard navigation, ARIA attributes, and more, though manual review is recommended for full conformance. Complementing this is security scanning that covers security headers, CORS configuration, TLS settings, sensitive file exposure, and the OWASP Top 10. Both features work on local files and live URLs, enabling developers to catch issues before deployment. The integration of these two critical domains in a single interface means that a developer can fix accessibility barriers and eliminate security loopholes without context switching.
The Mega Report is the central output of CodeFrog, consolidating results from all 18 test types into one document with an A-F health grade. Each finding is classified by severity—critical, high, medium, low, or info—with point deductions weighted accordingly. The report can be exported to PDF or Markdown, making it easy to share with teams or import into project documentation. This scoring rubric provides an instant, quantifiable measure of software quality, allowing developers to track improvements over time. For example, a site that scores a C can be systematically improved by addressing the highest-severity findings, with each re-scan showing progress toward a higher grade.
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CodeFrog integrates with GitHub through PR automation, allowing developers to import comments from CodeRabbit and export them as Markdown for use with AI coding agents like Cursor, Augment, or Claude Code. This streamlines the code review feedback loop, embedding quality checks directly into the development workflow. Additionally, the on-device AI analysis feature, available on macOS, leverages Apple Intelligence to suggest fixes and improvement plans without sending any data off the device. This privacy-first approach ensures that sensitive code and project details remain local, appealing to security-conscious teams and organizations with strict data governance requirements.
CodeFrog operates as a native desktop application that can test both local files and remote URLs. The workflow is simple: select the target—whether it's a localhost server, a staging site, or a production domain—and initiate a Mega Report scan. The software runs all 18 test types in parallel, checking accessibility with axe-core, security with OWASP rules, SEO meta tags and sitemaps, HTML validity against W3C standards, and code quality via Semgrep, OpenGrep, and line counting. Within minutes, the consolidated report is generated, displaying an A-F health grade with detailed per-category breakdowns. The user can then export the report, import findings into GitHub PRs, or use AI suggestions to fix issues.
A developer preparing a website launch can run a pre-deployment Mega Report on the staging environment, catching missing meta descriptions, broken ARIA labels, and vulnerable security headers before going live. An engineering team using continuous integration can integrate CodeFrog's GitHub PR automation to automatically comment on pull requests with quality findings, ensuring code quality standards are maintained. For auditors, the PDF export provides a documented trail of compliance checks for WCAG and OWASP. After fixing critical issues and re-scanning, the A-F grade improves from a D to an A, demonstrating tangible progress and building confidence in the software's reliability and security.
CodeFrog is built for web developers, QA engineers, security auditors, and DevOps professionals working on macOS or Windows. It works with local and production environments and integrates with AI-powered coding tools. The free tier offers 10 Mega Report scans per month covering all 18 test types, with no credit card required. For teams needing unlimited scans, the Pro plan is available at $99 per year, adding PDF export, priority support, and unlimited projects. In summary, CodeFrog delivers a comprehensive, all-in-one software quality testing solution that simplifies auditing, accelerates development, and ensures higher quality releases.
Web developers, QA engineers, security auditors, DevOps professionals, and technical leads who need a unified platform to test accessibility, security, SEO, and code quality. This tool is ideal for teams using macOS or Windows, working with local or production environments, and leveraging AI coding agents like Cursor, Augment, or Claude Code. It also suits individuals and organizations requiring compliance documentation for WCAG and OWASP standards.
Updated 2026-02-28