Autofix Overview
Autofix is a cutting-edge AI-powered code review agent designed to elevate software quality and security. It goes beyond traditional static analysis by employing a novel hybrid architecture that combines over 5,000 deterministic checkers with an intelligent AI review agent. This unique approach enables Autofix to detect a wide array of issues, including critical security vulnerabilities, sensitive hardcoded secrets, and various code quality problems, with industry-leading accuracy. It not only identifies issues but also generates verified remediation patches, streamlining the development workflow and ensuring production-grade software.
How to use Autofix
To get started with Autofix, users can install the terminal-based tool with a simple command on supported platforms (macOS, Linux). Once installed, navigate to any Git repository and run autofix. The interactive terminal UI will guide you through selecting what to review (uncommitted changes, last commit, or entire branch). Autofix will then analyze your codebase, present findings, and allow you to interactively apply suggested fixes, acknowledge secrets, or request changes to proposed solutions. For integration with AI coding agents like Claude Code or OpenAI Codex, Autofix can be added as an MCP server or plugin, enabling direct code review within your AI development environment.
Core Features of Autofix
- Hybrid Static Analysis + AI Review: Leverages 5,000+ deterministic checkers and static code metadata to seed the AI agent, ensuring high accuracy in issue detection and filtering false positives.
- Secrets Detection & Validation: Features an industry-leading secrets detection engine with built-in validation for over 165 API providers, minimizing false positives through its open-source secrets classifier, Narada.
- Advanced Code Quality Analysis: Reports on key metrics such as cyclomatic complexity, documentation coverage, and dead code, helping improve overall code health.
- OSS Vulnerability Review: Scans third-party dependencies for CVEs, with upcoming capabilities for automated version upgrades and refactors.
- Interactive Terminal Agent: Provides an interactive command-line interface for reviewing vulnerabilities and applying fixes one by one.
- Verified Patches: Automatically generates clean, validated git patches for identified issues, ready to be applied to the codebase.
- Integration Capabilities: Seamlessly integrates with popular AI coding agents like Claude Code and OpenAI Codex, and supports any Model Context Protocol (MCP) compatible client via its API.
Use Cases for Autofix
Autofix is ideal for development teams and individual developers who aim to enhance the security and quality of their codebase, especially when working with AI-generated code. It can be used for pre-commit checks to prevent vulnerabilities from entering the main branch, for pull request reviews to ensure code quality before merging, and for continuous security scanning of existing repositories. Teams utilizing AI coding assistants can deploy Autofix as a specialized agent to catch security flaws and anti-patterns that generic LLMs might miss, ensuring that AI-generated code meets production standards.
Advantages of Autofix
Autofix stands out with its superior accuracy in detecting security vulnerabilities and hardcoded secrets, as demonstrated by its leading performance on benchmarks like the OpenSSF CVE Benchmark (81.21% accuracy) and proprietary secrets detection tests (92.78% F1 score). Its hybrid architecture effectively balances high recall with low false positives, a critical advantage for security-sensitive development. The pay-as-you-go pricing model offers transparency and cost-efficiency, charging only for lines of code reviewed and fixed. Furthermore, its SOC 2 Type II certification and commitment to not training on user code underscore its strong privacy and security posture, making it a trustworthy solution for enterprise-grade software development.
Pricing and Plans
Autofix operates on a transparent pay-as-you-go model, with no monthly or hidden fees. Users can start with $10 in free credits. Pricing is based on usage: $8 per 100,000 lines of code reviewed and $4 per 1,000 lines of code patched. For larger organizations or specific needs, custom access plans are available by contacting sales.
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