Before you connect: evaluating AI tools that access your codebase

A framework for deciding which AI tools earn access to your repositories, and what to ask before they do

Every AI tool connected to your codebase is a trust decision, usually made fast and under pressure. This whitepaper gives you a framework: what to ask about model training, data isolation, agentic risk, and contractual protections, plus a full vendor checklist.

What’s inside:

• Four categories of risk to evaluate
• Structural security controls versus policy promises
• A vendor evaluation checklist
• How Flux’s architecture answers the same questions