Vibe Guardrails

Overview

Vibe Guardrails is a collection of 24 drop-in configuration rules and system prompts designed to prevent security vulnerabilities, architecture flaws, and unintended code deletions in AI-assisted development workflows. The toolkit provides structured instructions formatted for developer tools including Cursor, Claude Code, Lovable, Bolt, v0, and Replit. It aims to prevent common generative AI coding pitfalls, such as exposed API keys in frontend components, unconfigured database permissions, and client-side payment logic.

Key Features

• Multi-platform configuration files — Provides ready-to-use rule files formatted as `.cursor/rules/*.mdc`, `CLAUDE.md`, `AGENTS.md`, and raw text snippets for browser-based IDEs.
• Secrets and authentication guardrails — Enforces rules that prevent AI models from hardcoding credentials in client components or bypassing server-side authorization checks.
• Database and migration safety — Instructs AI assistants to enable Supabase Row Level Security policies by default and restrict database schema changes to reversible migration files.
• Code preservation rules — Constrains coding agents from silently deleting existing working features or modifying files outside explicitly requested task scopes.
• Security and deployment prompts — Includes specialized audit prompts for pre-launch security reviews, production deployment checklists, and API key leak remediation.
• Refactoring and debugging workflows — Delivers structured prompts designed to break repetitive AI debugging loops and explain complex or unfamiliar AI-generated codebases.

Who It's For

Vibe Guardrails is designed for independent developers, technical founders, and small software teams using AI coding assistants and rapid prototyping platforms to build web applications. It serves creators deploying production code via tools like Cursor, Lovable, or Replit who need standard baseline security checks without manual overhead. It is also suitable for solo builders seeking operational guardrails against regressions in AI-maintained codebases.

Notable Strengths

The product stands out for its multi-environment support, packaging rules across native configuration formats for both local IDEs and hosted agent tools. Pricing is straightforward and low-risk, offered as a single $19 one-time payment with an unconditional 30-day refund policy and a free three-rule starter tier. Additionally, the maintainers provide transparency by publishing raw test runs on GitHub, openly disclosing where specific rules succeeded and where certain rules remained untested or failed to modify AI behavior.