diff-tour Guides Reviews of AI-Written Code

diff-tour targets the most neglected problem in AI-assisted development: understanding code well enough to own and review it. Its strongest idea is making review a guided learning experience, though teams must weigh LLM cost and repository privacy.

• –Validates referenced files and line numbers, while rendering code directly from Git rather than trusting model-generated snippets
• –Surfaces the reasoning behind changes, including surrounding files and design tradeoffs absent from a raw diff
• –Read-only execution and restricted CLI permissions reduce the risk of the review tool modifying the repository
• –Tours take roughly 2–5 minutes and consume the user’s existing AI CLI plan, making cost meaningful for frequent use
• –Early-release status, experimental provider support, and sending tracked code to an external LLM remain adoption considerations