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Sample article: the scenario, people and numbers are placeholders.

Explainer · Software delivery

Faster agents do not shorten a review queue

When changes arrive faster than people can review them, the line grows however quickly they were written. What shortens it is a change to the review process.

17.4 → 11.9 s
Same 12 demo changes, two review processes. Demonstration data.
· Editor, Enterprise AI Guide2 min read
AgentsSoftware deliveryGovernance

A coding agent can write a change in minutes. It cannot decide that the change is safe to ship. A reviewer makes that call, and every change waits in the same line for that reviewer.

Where the time goes

A review queue behaves like any queue. When changes arrive faster than reviewers clear them, the line grows for as long as they keep arriving. Faster writing makes them arrive sooner and changes nothing else.

Your team feels this as “the agent is fast but nothing ships”. The dashboard shows more pull requests opened per week and the same number merged. Engineers start reviewing in the evenings, and the reviews get shorter.

Same changes, two processes

The figure runs the same twelve demo changes through two review processes at once, on one time scale. Lane A sends every change to one reviewer. Lane B sends routine changes to automated checks and the rest to the reviewer.

Figure 1
Same changes, two review processes
Demonstration data. Concept, not measurement.
01 · Same changes, two lanes. Demo: twelve changes become ready for review, one every 0.9 s. Both lanes receive every change at the same moment.

Watch the moment arrivals stop. From then on both lines can only shrink, with or without a policy, because nothing new comes in. The figure gives that moment its own step so the drop is not credited to the process.

Separating inflow from process

The last change arrives at 10.5 s. With the same arrivals, lane B finishes at 11.9 s and lane A at 17.4 s. The process accounts for the whole gap, since inflow is identical in both lanes.

Lane B finishes 5.5 s earlier with the same twelve changes and the same arrival times.

A real team sees the same shape over days instead of seconds. The reviewer in lane A never catches up while changes keep coming; the reviewer in lane B only sees the changes that need judgement.

What to measure first

Your code host already records when a change was opened, when review was requested and when it merged. The gap between the last two is the wait. Split it by change type before you change anything.

Review wait by change type
Before policyAfter policy

Illustrative data · Sample numbers

If one or two change types make up most of the wait and a policy can decide them, you have found lane B. If every change needs judgement, more reviewers is the honest answer.

Questions

Anything a policy can decide without judgement, for example a dependency update inside a pinned range or a copy edit outside regulated text.
The owner of the policy that let it through. Name that person before you turn the policy on.

Drafted with AI assistance; reported, checked and edited by Sample Author.

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