AI Coding Tool ROI Calculator – Estimate Your Productivity Gains

Calculate your team's savings with GitHub Copilot or other AI coding tools. Free ROI estimator for engineering leaders evaluating AI development tools.

Include salary, benefits, overhead. Fully loaded cost.
Research shows 1.5–3 hours is realistic. GitHub reports 55% faster task completion.
What % of AI suggestions your team actually uses. Industry average: 70–80%.
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Monthly net savings
Monthly tool cost—
Hours saved per month (team)—
Monthly value of time saved—
ROI—
Payback period—

How to Use This Calculator

  1. Enter your Number of developers
  2. Enter your Loaded hourly cost per developer
  3. Enter your Copilot tier
  4. Enter your Estimated hours saved per developer per week
  5. Enter your AI suggestion acceptance rate
  6. Click Calculate to see your result
  7. Review the breakdown below the result

Frequently Asked Questions

How was the 'hours saved' estimate derived?
GitHub's 2023 productivity study found developers completed tasks 55% faster with Copilot. Adjusted for real-world adoption and mixed task types, 1.5–3 hrs/week per developer is the realistic range.
What is 'loaded hourly cost'?
Salary divided by annual hours, plus benefits (30–40% of salary), plus overhead (office, tools, HR). A $120K/yr developer typically costs $85–100/hr fully loaded.
Does this account for ramp-up time?
No — expect 2–4 weeks of learning curve where productivity is neutral or slightly negative. Factor this into your first-quarter ROI expectations.
How do I measure actual hours saved?
Track task completion time before and after for the same task types. GitHub Copilot's admin dashboard shows acceptance rates per team. Tools like LinearB or DX measure developer efficiency.