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AI Code Review Cost Calculator

Estimate review hours and compare manual review with an AI-assisted workflow using assumptions you control.

Import your recent PR volume

Paste a public repository and we will ask GitHub for recent pull requests, then count non-bot PRs merged in the last 30 days.

Quick starts:

Review assumptions

Merged per month
min/PR
min/PR
USD/hr
Model or vendor estimate
per PR
70%

The remaining 30% of pull requests use the full manual review time.

Cost comparison

96 PRs / month
Manual baseline$4,480
AI-assisted workflow$2,822

Estimated monthly savings

$1,658

Hours returned

22.4 / month

Annual impact

$19,891

Break-even cost

$27 per assisted PR

This estimate excludes setup time, subscription minimums, tax, and the value of defects found.

How do you calculate code review cost?

Manual review cost is monthly pull requests multiplied by review minutes and loaded hourly engineering cost. Assisted pull requests use the reduced time assumption and add the AI service cost per PR.

The break-even result shows the maximum assisted-review service cost that still saves modeled labor. Use your own measured review time and adoption rate; this calculator does not include setup, subscription minimums, tax, or the value of defects found.

If pricing is what brought you here, our comparison of open-source AI code review tools covers the per-seat versus bring-your-own-key trade-off in detail.

Frequently asked questions

Is per-seat or usage-based code review pricing cheaper?
It depends on your PR volume per developer. Per-seat pricing favors teams that open many pull requests per person; usage-based or bring-your-own-key pricing favors teams with fewer, larger PRs. Model both with your real monthly numbers before deciding.
What does human code review actually cost?
At a loaded cost of $75–150 per engineering hour, a 30-minute review costs $37–75 before context switching. A team merging 200 PRs a month spends thousands of dollars of engineering time on review alone, which is the baseline any tool should be compared against.
Are the calculator's default numbers right for my team?
Treat them as conservative starting points. Replace review minutes, hourly cost, and adoption rate with measured values from your own workflow; the result is only as honest as its inputs.

Try Scopy AI on your next pull request

Accurate, open-source AI code reviewer that understands your project. Self-host it or start in the cloud.