Question 1

How do I calculate the ROI of an AI coding tool?

Accepted Answer

Compare the value of the time it saves against what it costs. The value is the hours each developer saves per week, times the number of developers who actually use it, times a bit over four to turn weeks into a month, times the developer's fully loaded hourly cost — salary plus benefits, overhead and taxes, which is usually one and a half to two times base pay. The cost is the seat price times your seat count, and any one-time setup or training on top. Subtract the cost from the value and you have the monthly net; divide the value by the cost and you have the ROI multiple. Because a seat costs a few tens of dollars a month and an hour of developer time costs far more, the multiple is usually large — the interesting question is not whether the ratio clears one, but whether the hours-saved figure you plugged in is honest.

Question 2

How many hours does an AI coding assistant actually save?

Accepted Answer

Reported figures vary widely and depend heavily on the task, the language and the developer's seniority. Controlled studies and vendor surveys land anywhere from under an hour to several hours per developer per week, with the biggest gains on boilerplate, tests, unfamiliar APIs and first drafts, and the smallest — sometimes negative — on complex, high-context work where reviewing a wrong suggestion costs more than writing the code yourself. The honest way to use this calculator is to enter a conservative number you can defend, run it, then note how low the break-even is: because a seat is so cheap relative to an hour of engineering, the tool usually pays for itself if it saves each developer even a few minutes a week. That low bar is exactly why the decision hinges on adoption — a seat nobody opens saves zero hours and is pure cost.

Question 3

What is the break-even for a coding subscription?

Accepted Answer

The break-even is the number of hours per week each seat has to save to cover its own price, and it is the seat cost divided by the loaded hourly rate times about four and a third weeks per month. At a fifty-dollar loaded hourly cost, a twenty-dollar seat breaks even at roughly seven minutes of saved time per week — anything above that is profit. This is why the ROI multiples on coding tools look enormous: the break-even sits so far below any plausible time saving that the ratio is dominated by the hours figure. This calculator prints the break-even in hours per week so you can sanity-check the decision against a number that does not depend on optimistic productivity claims — if you doubt a seat saves even a few minutes a week for the people using it, that is the real signal, not the ROI multiple.

Question 4

Should I account for adoption and setup cost?

Accepted Answer

Yes, both, because they are where the honest ROI leaks away. Adoption matters because you pay for every seat but only the developers who genuinely use the tool save time; a fifty-person licence where half the team never opens it earns half the value at full cost, so the calculator lets you set a utilization percentage that scales the hours saved without scaling the bill. Setup and training cost is a one-time hit — the hours spent learning the tool, wiring it into the workflow, and tuning it — that the monthly net has to earn back before the tool is truly in the black; the calculator turns that into a payback period so you can see how many months of net value it takes to recoup. Both push the real ROI below the headline figure, and both are worth entering conservatively rather than assuming full adoption from day one.

AIコーディングツールROI計算機

毎月の価値はどこから来るのか

時間の節約に応じて ROI がどのように拡大するか

サブスクリプションには丸め誤差があります。時間がすべてだ

この計算機の仕組み

よくある質問

AI コーディングツールの ROI はどのように計算すればよいですか?

AI コーディングアシスタントは実際に何時間を節約しますか?

コーディングサブスクリプションの損益分岐点はいくらですか?

導入とセットアップのコストを考慮する必要がありますか?