Understand your AI Code
Automatically track AI-generated code, model efficiency, and how tools like Cursor or Claude impact your team’s velocity.
A clearer view of AI output, quality, and cost
WakaTime turns AI coding activity into clear metrics for developers, teams, and company-wide decision making.
AI Cost
Track AI spend across every model and agent, with a per-developer breakdown so teams stay on budget and spot the costliest agents.
AI Adoption
Monitor AI adoption across your company — which agents devs are using and how many lines are AI-generated vs human-written.
AI Effectiveness
See how often devs modify AI-generated code. Prove AI is shipping, not creating more work.
Model efficiency
Compare average tokens per line and prompt length across models to balance output quality against API costs.
Per-agent breakdown
See which agents are doing the work — lines changed, tokens spent, and estimated cost split out by Claude Code, Cursor, Codex, and more.
Prompt length
Understand how developers interact with AI tools by measuring the amount of input and context they give AI.
Works with all your tools
Claude Code
Codex
Continue
Cody
Roo Code
OpenCode
GitHub Copilot
Cursor
Windsurf
Qoder
Kiro
Cline
Gemini
Pi
Goose
Turn AI metrics into clear
engineering decisions
Developers
See which AI tools actually help you ship faster, where they introduce rework, and how your habits are changing over time.
Team leads
Understand adoption, output, and trends across the team without relying on anecdotes, surveys, or self-reported usage.
Decision Makers
Justify your AI spend with objective data. Evaluate tool adoption and ROI to build a data-driven AI integration strategy.
What devs are saying
