CodeGate
Secure AI coding workflows with local privacy controls
Target Audience
- Software developers using AI assistants
- Open-source contributors
- Security-conscious engineering teams
Hashtags
Overview
CodeGate acts as a privacy shield between developers and AI coding tools. It runs locally on your machine to prevent secret leaks while using multiple LLMs and coding assistants. Gives teams open-source transparency for security controls without slowing down development. Works silently in the background, only alerting you to actual security risks in real-time.
Key Features
Local Operation
Keeps data on your device, never transmits to cloud
Open Source
Fully transparent security implementation anyone can audit
Background Protection
Works invisibly until actual security risks emerge
Multi-LLM Support
Manages multiple AI coding assistants simultaneously
Secret Leakage Alerts
Immediately flags exposed API keys/credentials
Use Cases
Secure AI-assisted coding sessions
Prevent API key leakage to LLMs
Collaborate on open-source security rules
Manage multiple coding assistants safely
Pros & Cons
Pros
- Data never leaves local environment
- Open-source transparency builds trust
- Works with multiple LLMs simultaneously
- Non-intrusive 'set and forget' operation
Cons
- Requires Docker/self-hosted setup (technical barrier)
- No cloud-hosted option for teams preferring SaaS
- Primarily focused on developers (limited non-tech use)
Frequently Asked Questions
How is CodeGate different from other AI security tools?
Runs locally instead of cloud-based, built by developers for daily coding workflows, and fully open-source for transparency
Does CodeGate replace my existing coding assistants?
No, it acts as a protective layer between your assistants and LLMs while you work
Can enterprises use CodeGate?
Yes, contact Stacklok at [email protected] for enterprise implementation support
Reviews for CodeGate
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