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Build a Specialist Reviewer Subagent

Separate implementation from a reviewer focused on correctness, security or regressions.

7 min
The short answer

A reviewer should receive the expected behavior and diff, but not inherit the implementer’s untested assumptions.

01

The decision behind the technique

Independent review reduces self-confirmation and lets instructions focus on a narrow risk domain. The reviewer’s job is to find reproducible issues, not to praise the patch.

A reviewer should receive the expected behavior and diff, but not inherit the implementer’s untested assumptions.

02

A practical step-by-step workflow

Use this sequence as a default, then tighten or expand it only when the evidence changes.

  • Choose one specialty and its threat model
  • Forbid edits during the review
  • Require severity, evidence and a tight location
  • Reproduce the finding before asking for a fix
03

Failure boundary and finish line

A specialist reviewer does not replace the general integration checks for the final user flow.

Finish when another person can reproduce the check against the exact final state.

Frequently asked questions

What should I do first?+

Choose one specialty and its threat model

What is the main failure mode?+

A specialist reviewer does not replace the general integration checks for the final user flow.

OFFICIAL SOURCES

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This guide provides general information, not an OpenAI allowance promise or support decision. Your account and official pages govern actual usage, benefits and recovery times.