AI coding analytics

Understand your AI Code

Automatically track AI-generated code, model efficiency, and how tools like Cursor or Claude impact your team’s velocity.

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What you can measure

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-generated lines

Track how much code is being produced with AI across repos, projects, developers, and teams.

AI rework rate

Track how often AI-generated code requires manual fixes to identify quality bottlenecks and model hallucinations.

Model ROI & efficiency

Compare average tokens per line across models to balance output quality against API costs.

Prompt length over time

Understand how developers interact with AI tools by measuring the amount of input and context they give AI.

Supported today Claude Codex Copilot Cursor VS Code Claude Code

Why it matters

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.

Used by 500k+ developers

WakaTime is the only tool that shows me the ROI on AI. I can see how much code is AI-generated, right down to the file level.

TJ Holowaychuk

Creator of Express.js

WakaTime is brilliant! It tells me which models produce the most code using the least amount of tokens.

Maya Wright

Software engineer

You can't optimize what you don't measure. WakaTime gives me the data to decide which AI models actually help me ship faster.

Robert Adams