swain.

Swain is an open source local AI security tool designed to monitor and analyze code written by machines, acting as a security lead that watches over automated code generation. It provides continuous scanning without requiring complex configuration, operating entirely locally to maintain privacy and avoid external quotas.

As machines increasingly write code autonomously, there is a growing need for oversight to ensure security vulnerabilities don't pass unnoticed. Swain addresses this problem by providing constant vigilance over code generation processes, catching hidden risks that might otherwise go undetected during rapid development cycles.

The tool operates with a single command interface, making it accessible and straightforward to implement in development workflows. This simplicity eliminates the barrier to entry for security scanning while maintaining powerful analysis capabilities.

Swain performs continuous scanning of launch-risk surfaces in codebases, examining files for potential vulnerabilities and security issues. It identifies findings across different file types and provides risk assessments with severity levels like 'medium' to help prioritize fixes.

All analysis happens locally without sending data to external servers, ensuring complete privacy and control over sensitive codebases. The tool requires no configuration files or complex setup procedures, working immediately after installation.

Swain follows a systematic workflow of profile, scan, analyze, and fix-first methodology. It profiles the codebase, scans for vulnerabilities, analyzes the findings, and then recommends which issues to address first based on severity and risk assessment.

Users benefit from automated security oversight that never blinks or gets distracted, providing constant protection against vulnerabilities in machine-generated code. The local operation ensures no data leaves the development environment, addressing privacy concerns while maintaining security standards.

Primary use cases include monitoring AI-assisted coding tools, scanning automatically generated API endpoints, checking billing and webhook implementations, and reviewing user authentication code. It's particularly valuable for teams using code generation in production environments.

The tool targets developers working with AI coding assistants, security engineers needing local scanning solutions, and teams prioritizing privacy in their development workflow. It integrates with existing codebases through simple command-line interface and works with various file types including Python files and webhook implementations.