Reviewer availability

Why it matters

Teams should match review effort to the change's risk. A small request can affect a public contract, while a large migration may be safer when its pieces are kept together. Size, speed, and approval count are incomplete signals by themselves.

The useful question is not whether every repository should implement the concept identically. It is whether participants can understand the current state, the requested decision, and the evidence needed to move forward. Naming those boundaries reduces accidental waiting and makes later analysis more honest.

A concrete example

For example, a service change crosses a repository boundary. The author opens linked requests, states merge order, and explains the intermediate state. Reviewers can then challenge the dependency rather than discovering it after integration.

In that situation, the record should identify the current diff, the relevant owner, and the next action. If the change moves, the author should explain what changed so a reviewer can focus on new risk instead of repeating work without context.

Limits and judgment

Automation can make a process visible and repeatable, but it cannot supply missing product intent or domain expertise. A green check, a resolved thread, or a recorded approval should not be read as a guarantee of production safety.

Use the concept as a prompt for better collaboration. Keep technical decisions attached to the change, preserve unresolved concerns, and choose review depth in proportion to the risk rather than to a fixed target.

The canonical focus here is Reviewer availability; use that boundary when comparing it with related concepts.