ROI Vibe Coding Estimator
Calculate the annual return on investment (ROI) for your team of Cursor, ClaudePro and GitHub Copilot. Hours saved by type of tasks, payback periods and detailed break down. Zero client side calls required.
The velocity estimates are based on public benchmarks (Cursor demos, GitHub Copilot research 2024, Marcello Ascani AI Engineering S5). Actual results vary by context, team maturity and codebase type. This tool does not constitute human resources or financial advice.
Team and Costs
Task Distribution
Indicates how the team distributes time among different types of activities, with a total sum equal to 100%. Velocity gains for each type are based on public benchmarks.
AI Tools Selected
1620 € /year teamEstimated Annual Return on Investment (ROI)
Time Saved by Type of Task
Velocity base: Greenfield +30%, Maintenance +20%, Refactor +40%, Code Review +15%, Docs +80%. Scala with the velocity multiplier set to x.1.0
Return on Investment Timeframe
The investment in AI tool recovers with the current parameters in Less than a month
Come utilizzare Vibe Coding ROI Estimator
Configure Team and Costs
Indicate team size, average RAL rating, working days/year and daily production hours, or load one of the pre-configured scenarios (only dev or team 20).
Set Task Distribution
Start your team's time tracking again with greenfield, maintenance, refactor, code review and documentation: the total must be 100%. Each type of task has a different base velocity gain.
Select AI tools used
Choose from Cursor Pro, Claude Pro, GitHub Copilot and other available tools: Annual cost for the team is automatically calculated based on the number of developers.
Read ROI, saved hours and payback.
Result shows annual net ROI, total time saved, developer-specific savings, economic value of saved time, cost of tools, and payback period in months.
Suggerimenti
- Start from a velocity multiplier of 1.0x to the first simulation: represents search values without optimism, useful as a conservative baseline before increasing it.
- Expect a higher ROI if the team primarily works on documentation or refactoring: tasks with high velocity gains of +80% and +40%.
- Compare the "only dev" and "team 20" scenarios to see how the payback period changes with team size before investing in AI licenses.
Domande frequenti
Where do values for velocity come from by type of task?
Concise UI label translation: I gain base are based on public benchmarks (demo Cursor, GitHub Copilot 2024) and scaled with a velocity multiplier you set manually based on your team's real experience with AI tools.
What does velocity multiplier represent?
It's a base gain correction factor: 1.0x means use search values as is, higher values (1.5x-2.5x) represent highly experienced teams in daily AI coding tool usage. Values over 2.5x are considered unrealistic and will trigger a warning.
How is the cost of the used team calculated for ROI?
The tool starts with the RAL (Annual Lord's Allowance) average for developers and applies a 1.4x factor for overhead costs (employee contributions, INAIL, etc.), then distributes it over annual productive hours (working days × productive hours per day) to get a realistic hourly cost.
What does payback period mean?
The estimated time needed, in months, to repay the annual subscription cost of the tools with the economic value of the hours saved thanks to AI tools. A short payback period (a few weeks or 1-2 months) indicates a quick return on investment.
Is this estimate a guarantee of real results?
No. Estimates are based on public benchmarks and your input parameters, but real results vary by team maturity, codebase type, and organizational context. The tool is not HR or financial consulting: use it as a starting point for evaluation, not guaranteed prediction.