Insights, tutorials, and updates on AI-powered development, security, and best practices
We're excited to announce guardrail, a comprehensive platform for adding safety guardrails to AI-powered development. Learn how guardrail helps teams ship faster while maintaining code quality and security standards.
AI assistants often generate placeholder or mock data that can accidentally make it to production. We built Reality Mode to detect and prevent this common issue. Here's how it works and why it matters.
Before you ship, run Ship Check. Our comprehensive validation system analyzes security, compliance, architecture, and code quality to give you a clear GO or NO-GO decision for deployment.
Learn how to integrate guardrail into your continuous integration and deployment workflows. We'll cover GitHub Actions, GitLab CI, and other popular CI/CD platforms.
AI-generated code introduces unique security challenges. This guide covers OWASP Top 10 compliance, dependency scanning, and other essential security practices when working with AI assistants.
A step-by-step guide to installing and configuring the guardrail MCP server for use with Claude Desktop, Cursor, and other AI assistants. Unlock professional guardrails directly in your development environment.