gate.cat vs Inspector
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Inspector leads with 621 upvotes
Blocks rm -rf before your AI agent can run it
gate.cat is an innovative security tool designed to safeguard AI coding agents from executing destructive commands such as 'rm -rf', 'DROP TABLE', or 'terraform destroy'. It acts as a deterministic, fail-closed veto system that inspects outgoing tool calls at the boundary, preventing irreversible actions before they occur. Its versatile integrations include Claude Code hooks, gated shell environments, and OpenAI-API proxies, making it highly adaptable for various AI development workflows. What sets gate.cat apart is its thorough validation process, having replayed over a million real agent commands with zero misses, and its transparency through publishing bypass maps that demonstrate its security coverage. The tool is open source under the Apache 2.0 license and is free forever, making it accessible to developers and organizations seeking to enhance AI safety and control while maintaining flexibility in their automation processes.
Pros
- Robust veto mechanism that prevents dangerous commands from executing
- Open source with transparent security validation and bypass maps
- Easy integration with popular AI tools like Claude and OpenAI APIs
- Free forever, reducing barriers for adoption
- Deterministic and fail-closed design enhances safety
Cons
- May require configuration and tuning for specific workflows
- Limited to command filtering; does not prevent all types of malicious activity
- Potential false positives if not properly calibrated
Best for
- • Securing AI code generation environments from executing destructive commands
- • Preventing accidental data loss during AI-driven automation
- • Enhancing safety controls in AI-powered DevOps pipelines
- • Monitoring and vetoing harmful commands in sandboxed AI testing setups
Pricing: Gate.cat is open source and free forever, making it accessible without any direct cost. Its deployment and integration may incur operational costs depending on the environment and scale, but the tool itself does not require paid plans.
Figma for Claude Code
Inspector reimagines the design-to-code workflow by integrating visual editing directly with AI-powered code generation. Designed for developers, designers, and product teams, it allows users to click on UI elements within a design interface, make visual adjustments, and have those changes automatically reflected in the underlying codebase. The tool connects seamlessly with popular AI agents like Claude Code, Codex, and Cursor, streamlining the often tedious handoff process between design and development. Its unique approach eliminates the need for manual code edits or back-and-forth communication, enabling rapid prototyping and iteration. By bridging the gap between visual design and code, Inspector enhances productivity and fosters a more collaborative workflow, making it ideal for teams seeking to accelerate their development cycles with AI-powered precision.
Pros
- Intuitive visual interface for code adjustments
- Seamless integration with popular AI coding agents
- Reduces manual coding and design handoff time
- Supports rapid prototyping and iteration
- Streamlines collaboration between designers and developers
Cons
- May have limitations with complex UI components
- Dependent on AI accuracy, which can vary
- Learning curve for users unfamiliar with AI-assisted editing
Best for
- • Quick UI tweaks during product development
- • Design validation and iteration without extensive code changes
- • Bridging the gap between design and development teams
- • Rapid prototyping of new features
Pricing: Likely operates on a freemium model, offering basic features for free with paid plans providing additional integrations and advanced editing capabilities; exact pricing details are not publicly specified.