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Estimate payback for Claude Code, Cursor, and Copilot seats
Payback Snapshot
Each developer only needs to save 0.27 hours per month to break even at this seat cost and hourly rate.
Monthly tool cost
$160
Monthly hours saved
80.0 h
Value created
$6,000
ROI
3,650%
How to use this result
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Get the Claude Code Production Pack — $29AI coding assistants — Claude Code, Cursor, and GitHub Copilot — each charge per seat per month. Whether the subscription pays for itself depends on three variables: the seat cost, the developer's hourly rate, and the actual hours saved per week. A simple ROI model quantifies the monthly value created (hours saved multiplied by hourly rate) against the tool cost, revealing the net gain or loss and the minimum hours-saved threshold that makes each plan worthwhile for your team size.
The calculator builds a linear ROI model with four inputs: monthly seat price (in USD), team size, developer hourly rate (fully-loaded), and expected weekly hours saved per developer. From these, it computes four outputs: total monthly tool cost (seat price multiplied by team size), monthly hours saved (weekly hours saved multiplied by team size multiplied by 4.33 weeks), monthly value created (monthly hours saved multiplied by hourly rate), and net monthly gain (value created minus tool cost).
The break-even hours-per-week figure is the weekly hours per developer at which value created equals tool cost, solving for hours: break-even = (seat price / hourly rate) / 4.33. This tells a developer or manager the minimum productivity lift needed to justify each seat at the specified hourly rate.
All calculations use client-side JavaScript with no API calls. The model is intentionally simple — a linear productivity multiplier — rather than incorporating compounding effects, learning curves, or task-specific productivity variations.
An engineering manager builds a business case for a GitHub Copilot Enterprise rollout by entering the team size, average hourly rate, and conservative productivity estimate to show the CFO a monthly ROI projection.
A developer evaluating Cursor Pro versus Team plans uses the calculator to find the team size at which the per-seat discount on the Team plan produces a meaningfully higher net gain.
A solo founder determines whether Claude Code at its current price pays for itself given their hourly consulting rate and the kinds of tasks they plan to use it for.
A startup CTO compares three AI coding tools side-by-side by running the calculator with each tool's seat price and their team's estimated productivity gain.
Set the monthly seat cost for the coding assistant you are evaluating
Enter team size, hourly rate, and expected weekly hours saved per developer
Review the monthly tool cost, value created, and net gain instantly
Use the break-even figure to decide how much time each developer must save to justify the spend
About the Coding Assistant ROI Calculator
It estimates monthly software spend, monthly hours saved, value created from that saved time, net gain after tool cost, and the break-even hours each developer needs to save.
Yes. The calculator is tool-agnostic. Use the seat cost and productivity assumptions that match the plan you are evaluating.
It tells you the minimum monthly time each developer must save for the tool to pay for itself. That makes budgeting and pilot decisions much easier.
Use the fully-loaded cost of a developer hour, not just salary. A developer earning $100,000/year works approximately 2,000 hours/year, giving a raw rate of $50/hr. Add employer taxes, benefits, and overhead (typically 30-40%) for a fully-loaded rate around $65-70/hr. For INR-based teams, adjust for local salary benchmarks.
Published productivity research (GitHub Next, McKinsey) suggests AI coding assistants save 1-3 hours per developer per week for typical software tasks, rising to 4-6 hours for repetitive code generation and boilerplate work. The break-even calculation shows what minimum is needed for each pricing plan.
Yes. Enter the plan's monthly seat price in the cost field and adjust the productivity assumption to match your team's expected usage intensity. Run the calculation for each plan tier to see the net gain difference.
The calculator does not include onboarding time, which typically represents 2-4 weeks of reduced productivity before developers become proficient. For a complete ROI picture, reduce the expected hours-saved figure by 20-30% in month 1 of adoption and factor in the full benefit from month 2 onward.
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