

CodeFrog is a desktop application for macOS and Windows that serves as a comprehensive developer tool for testing and improving software health. It is designed for developers and engineers who need to ensure their applications meet quality standards across accessibility, security, SEO, and code quality, all from a single interface. Its main purpose is to complement your IDE and help you ship better software by automating reviews and identifying vulnerabilities.
In modern software development, ensuring quality across multiple dimensions like security and accessibility is critical but often requires juggling several specialized tools. This fragmentation can slow down development and lead to missed issues. CodeFrog addresses this problem by consolidating 18 categories of tests into one unified application, enabling developers to catch and fix bugs fast before they impact users or compliance requirements.
A core feature is the Mega Report, which consolidates results from all 18 test types into a single report with an A–F health grade. This report covers areas like accessibility, security, SEO, HTML validation, code analysis, and vulnerability scanning. Users can export these findings to Markdown or PDF for further review and integration into their workflows.
CodeFrog performs automated accessibility testing using the axe-core engine to check for WCAG A, AA, and AAA conformance. It also conducts security scanning that covers headers, CORS, TLS, sensitive files, and OWASP Top 10 vulnerabilities. For SEO, it tests elements like sitemaps, robots.txt, meta tags, heading hierarchy, and structured data.
The tool includes code analysis capabilities via static analysis with Semgrep and OpenGrep, along with line counting metrics. It scans dependencies for known CVEs using the Open Source Vulnerabilities (OSV) database and detects exposed secrets like API keys and passwords with Gitleaks integration. Additionally, it offers SSH server monitoring for connecting to servers, monitoring resources, and managing files via SFTP.
CodeFrog works by allowing users to test anything, anywhere—pointing it at localhost, staging, or production environments, and scanning local files or remote URLs. It generates instant health scores by running a Mega Report that grades across 18 test categories in minutes. The tool is built for AI-powered workflows, enabling export of GitHub PR comments to Markdown for import into AI coding agents like Cursor and Augment.
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Benefits for users include the ability to test and fix multiple quality aspects from one app, eliminating the need to juggle five different tools. Developers get immediate, actionable insights with A–F health grades, helping prioritize fixes. The tool respects user privacy with on-device AI analysis on macOS, where zero data leaves the machine, and it offers a generous free tier with 10 comprehensive scans per month.
Concrete use cases include running a Mega Report on a web application before launch to check for security headers, accessibility issues, and SEO meta tags. Developers can integrate it into their PR workflow by importing GitHub PR comments and exporting them as Markdown for AI agents to suggest fixes. Teams can use it for bulk domain security testing at scale via DNS API integration to monitor multiple properties. It is also used for ongoing monitoring of a live website's health, including checking for new vulnerabilities in dependencies or exposed secrets in the codebase.
The target users are developers and software engineers working on macOS and Windows applications who need to ensure quality, security, and accessibility. It integrates with AI coding agents like Claude Code, Cursor, and Augment, and works with GitHub for PR automation. The tech stack leverages tools like axe-core, Semgrep, Gitleaks, and OSV. Pricing includes a free forever plan with 10 Mega Report scans per month and a Pro plan at $99/year for unlimited scans, PDF export, and priority support.
In summary, CodeFrog provides a unified, efficient solution for comprehensive software testing, enabling developers to verify and improve their code's health across critical dimensions quickly and reliably.
CodeFrog is designed for developers and software engineers building applications on macOS and Windows who need to ensure comprehensive software quality. It targets individuals and teams looking to consolidate their testing tools for accessibility, security, SEO, and code analysis into a single, efficient application. The tool is ideal for those integrating AI-powered workflows, as it supports exporting data for AI coding agents like Cursor and Augment. It also serves users who require testing on various environments, from localhost to production, and value privacy with on-device AI analysis.