Skip to content
[ aicodereview.io ]

Review practice · Updated 2026-09-17

Blast radius

How much of a system a given change can affect if it is wrong — the practical measure of how carefully it should be reviewed.

What it is

A twenty-line change to a shared authentication helper has a larger blast radius than a two-hundred-line change to an internal admin page. Line count measures effort; blast radius measures risk, and they routinely point in opposite directions.

Why review should be proportional to it

Teams that review everything with equal intensity tend to under-review the dangerous changes and over-review the safe ones, because attention follows diff size. Making risk explicit — through ownership rules, path-scoped severity, or simply a convention about which directories get two reviewers — puts the attention where the exposure is.

How tools can help, and where they fall short

Blast radius is a structural property: who calls this, what depends on that, how far the change propagates. Tools with real code-graph retrieval can approximate it; tools working from the diff alone cannot see it at all, which is why they treat every change as equally consequential.

The configuration equivalent is per-path rules. If a tool can only apply one rule set to an entire organisation, it cannot express that the payments directory deserves more scrutiny than the marketing site.

Common mistakes

  • Using diff size as a proxy for risk.
  • Applying uniform review policy across a monorepo with wildly different risk profiles inside it.
  • Forgetting that configuration and infrastructure changes often have the largest radius of all.

[ Tools where this matters ]

[ Related terms ]

[ Read next ]

See which tools actually deliver this

Scored against 9 standards, with the source for every claim.

Open the directory [↗]