Pando
Acts as a firewall between AI agents and code, sending only structural handles and signatures to the model while applying edits locally.
A code firewall for AI coding agents that lets models operate on a codebase's structure—handles and signatures—without exposing proprietary source code. It solves the problem of AI agents leaking sensitive code to LLM providers during routine edits. The product targets developers, engineering teams, and IT teams in companies of all sizes, especially those using frontier models like Claude or Codex. It is positioned as a boundary that enforces privacy by keeping source local, with structural edits applied locally, and offers a free tier for personal use.
Key features
- Sends only handles and signatures to LLM
- Applies structural edits locally
- Supports multiple languages (TypeScript, Python, etc.)
- Enforces no-send paths (e.g., crypto/, secrets/)
- Logs every byte that crosses the boundary
- Works with any MCP client
- Free for personal use
- No social media activity within the last 30 days
GTM channels
- Blog
- API
- Docs
ICP
- Software developers
- Engineering teams
- IT teams