AI coding tools can be safe for proprietary code, but "can be" is doing real work in that sentence. Safety depends on two things you have to verify per tool: whether your code is stored or used to train models, and how the tool isolates changes from your main branch. Assume nothing. Read the terms.
What to check before trusting one with your IP:
- Data policy — best when storage, training, and retention are stated in writing.
- Isolation — best with tools that sandbox changes from production code.
- Deployment options — best for sensitive shops that need extra control.
Verdent uses Git worktree separation, so agents work apart from your main codebase and changes stay reviewable. For proprietary code, also confirm current storage, training-use, and retention terms in Verdent's official policy rather than relying on a blog summary.
The question to put to any vendor: where does my code go, and can an agent reach production without my approval? Clear answers signal a tool built for proprietary work. Vague ones are their own warning.
Vet the data terms first, test isolation on a non-sensitive repo, then scale trust deliberately. With IP, that order matters.
