Show HN: Rigour – Open-source quality gates for AI coding agents (rigour.run)

Rigour has been introduced as an open-source tool designed to enhance code quality for AI coding agents, focusing on real-time detection of issues like hallucinated imports and hardcoded secrets before the code is deployed. This tool emerged from an audit of OpenClaw, an AI agent with over 180,000 GitHub stars, identifying significant vulnerabilities within its extensive codebase. Rigour claims to deliver comprehensive coverage against the OWASP LLM Top 10 risks and employs LLM-powered analysis to ensure adherence to best practices across multiple programming languages—including Go, TypeScript, Python, Java, C#, and Rust. The significance of Rigour lies in its potential to improve the safety and reliability of AI-generated code, particularly in regulated industries such as healthcare, fintech, and government. With preset configurations for compliance standards like HIPAA and SOC2, Rigour streamlines the enforcement of quality gates tailored to specific sectors. Its innovative features, such as persistent memory for AI context and detailed trend analysis, allow organizations to maintain high-quality standards while coordinating multiple AI agents effectively. As AI technologies increasingly integrate into critical applications, tools like Rigour represent essential steps toward ensuring code safety and regulatory compliance.