Supabase RLS Leak Demo vs Prelint
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Prelint leads with 664 upvotes
Reproduce a cross-tenant RLS leak and verify the fix
Supabase RLS Leak Demo is a focused, open-source testing tool designed for developers and founders working on multi-tenant applications. It provides a simple yet powerful fixture to simulate a cross-tenant Row-Level Security (RLS) leak in PostgreSQL, allowing users to verify whether their security policies are truly effective. By running a straightforward test suite with commands like 'npm ci && npm test', users can identify potential leaks and confirm their fixes—no need for Docker, cloud credentials, or production data. This makes it an excellent resource for teams committed to security and data integrity in multi-tenant SaaS platforms. The tool's unique value lies in its ability to demonstrate that a policy may appear correct but still harbor vulnerabilities, offering clear evidence before deploying to production.
Pros
- Simple setup with zero dependencies on Docker or cloud credentials
- Open-source and easy to run locally for immediate security testing
- Provides clear, reproducible evidence of security leaks and fixes
- Designed specifically for multi-tenant SaaS applications
- Helps teams validate security policies before deployment
Cons
- Limited to PostgreSQL and Supabase environments
- Primarily focused on RLS leak testing, not a comprehensive security suite
- Requires familiarity with SQL policies and testing practices
Best for
- • Testing and verifying multi-tenant data security policies
- • Demonstrating RLS vulnerabilities during security audits
- • Validating fixes for RLS leaks before production deployment
- • Educational tool for developers learning about RLS security
Pricing: Open source and free to use, with no costs involved. It is designed as a lightweight fixture for local testing and validation.
Prevent product drift in AI-written code
Prelint is an innovative AI-powered code review tool designed to ensure code quality and consistency in teams leveraging AI-generated code. By automatically reviewing pull requests against architectural decision records (ADRs), documentation, and past decisions, Prelint helps prevent product drift and maintains alignment with project standards. Its unique capability to catch issues early—especially in environments where multiple AI reviewers are used—makes it an essential addition for modern development workflows. With the ability to identify approximately 40% of issues before merging, Prelint significantly reduces bugs and rework, leading to more reliable and maintainable codebases. Ideal for software engineering teams seeking to integrate AI into their CI/CD pipeline, it offers a proactive approach to code validation that complements traditional review processes.
Pros
- Automates comprehensive code review against ADRs, docs, and past decisions
- Prevents product drift early in the development lifecycle
- Reduces post-deployment bugs and rework
- Enhances team collaboration by enforcing standards
- Effective in environments with multiple AI reviewers
Cons
- May require initial setup to align with specific ADRs and documentation
- Dependent on the quality of input data and existing documentation
- Potential false positives in complex or rapidly evolving projects
Best for
- • Reviewing AI-generated code to ensure adherence to project standards
- • Preventing feature creep and maintaining product consistency
- • Automating code review in CI/CD pipelines
- • Supporting teams using multiple AI code reviewers
Pricing: Likely operates on a subscription-based model, possibly with tiered plans based on team size or usage volume. A free tier or trial may be available to evaluate its capabilities before committing to paid plans.