Question 1

How much does GitHub Copilot actually improve productivity?

Accepted Answer

GitHub's own study found 55% faster task completion in controlled settings. Independent research shows 15-35% real-world gains in day-to-day development. The gains are highest for: boilerplate code, test generation, documentation, and repetitive CRUD operations. Complex architectural decisions see minimal AI benefit.

Question 2

Copilot vs Cursor vs Claude — which has the best ROI?

Accepted Answer

GitHub Copilot ($19/mo) excels at IDE autocomplete and fits naturally into existing workflows. Cursor ($20/mo) offers more agentic multi-file editing and is popular for greenfield development. Claude via API costs more but handles complex reasoning tasks. Most high-velocity teams use 2+ tools: Copilot for daily coding, Claude for architecture and review.

Question 3

How do I measure actual productivity gains?

Accepted Answer

Useful metrics: (1) Story points completed per sprint before/after; (2) PRs merged per developer per week; (3) Lines of production code shipped; (4) Time-to-feature from spec to deployed. Avoid vanity metrics like lines written. Run a 30-day trial with half the team as control group for clean comparison.

Question 4

Do junior vs senior developers benefit more?

Accepted Answer

Junior developers typically see 35-50% productivity gains — AI fills knowledge gaps, suggests best practices, explains unfamiliar APIs. Seniors see 15-25% gains but use AI for different tasks: generating test suites, writing documentation, and handling unfamiliar codebases. Teams report seniors recoup 10+ hours/week on administrative code tasks.

AI Code Assistant ROI Calculator — GitHub Copilot vs Cursor vs Claude

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