#CodeRabbit #CodeReview #AICoding #DeveloperTools
CodeRabbit Change Stack solves a very specific pain: AI-authored PRs are getting larger, more frequent, and harder to read through a normal diff. If the provider shows files alphabetically, the reviewer sees noise instead of the architecture of the change.
Change Stack repackages the pull request into cohorts and ordered layers. Contracts, types, and data shapes come first, then consumers, call sites, and tests. Each range gets a summary; when a visual actually helps, sequence diagrams, state machines, or ERDs appear. When it does not help, there is no diagram.
This is the right shape for code review with agents. The useful question is no longer whether review is faster or slower with AI; it is whether we restored the reading order after an agent changed dozens of files in one pass.
In New Runtime, this is the same principle as the editorial graph: a machine can produce a large package, but a person needs a dependency-aware route, stale-state protection, and a place to leave a verifiable comment.