Developers accumulate code snippets from three sources: their own experience, Stack Overflow, and increasingly, AI tools. The problem is that these three sources carry different reliability profiles and different legal considerations, but most snippet managers treat them identically.
A snippet you wrote and have used in production five times is different from a snippet Claude Code generated that you copied and haven't fully verified. A snippet from Stack Overflow with 847 upvotes and a 2022 answer date is different from one generated by GPT-4 that may contain a hallucinated function. Mixing these without metadata loses the context that makes snippets trustworthy.
GitIntel's snippet layer automatically tags snippets extracted from your git history with their AI attribution — so when you search your library, you see which snippets have human-authored provenance vs AI origin. For AI-generated snippets, it notes which tool generated them and when, giving you a lightweight audit trail without requiring manual annotation.
This matters particularly for snippets used in security-sensitive contexts (authentication, input validation, cryptography), where knowing whether a snippet was human-reviewed or AI-generated informs how much additional verification it needs.