An artificial intelligence pull request summary condenses a large diff into a human-readable overview. It can describe functional layers, important dependencies and the intended result while linking claims to relevant files.
A summary improves orientation but can omit or misinterpret details. Reviewers should use it as a map and verify important statements against the underlying code and tests.
