AI Measurement

Your AI adoption delta, measured across every metric.

Scryable benchmarks your engineering performance against your pre-AI history, surfacing the genuine impact of AI tooling across velocity, code quality, and individual contribution patterns. Every number comes from your actual codebase. No surveys, no estimates, no manual tagging.

Get started free How it works
Pre-AI baseline
Benchmarked against your pre-AI history.

Set your AI adoption milestone and Scryable calibrates every metric against your team's pre-AI performance. The benchmark is instant, covers every repo automatically, and can be adjusted at any time without reconnecting anything.

Metrics differential
Velocity, churn, and code quality: the full AI delta.

Not just whether commit counts went up, but whether the code those commits produced is better or worse. Churn ratios, duplicate code patterns, and line change trends are all tracked against the baseline, period by period.

Contributor benchmarking
Understand how AI has changed each engineer's practices.

AI adoption affects different engineers in different ways. Scryable benchmarks each contributor's metrics individually, showing how AI tooling has changed their output patterns, code quality, and habits relative to their own pre-AI baseline.

No tagging required
No workflow changes for your team.

Developers don't need to mark AI-assisted commits. Scryable identifies adoption patterns directly from the git history. No new process, no integrations, no asking your team to do anything differently.

The question

Most teams can't answer it. Now you can.

The standard engineering intelligence tools measure activity: commits, PRs, cycle time. None of them were built to answer the question that matters most right now: has AI tooling actually improved the quality and velocity of what your team is shipping?

AI adoption rates alone explain just 1.3% of velocity variance. Having the tools is almost entirely uncorrelated with getting results from them. The teams getting real value from AI are the ones who can measure the genuine metrics differential and adjust accordingly.

Scryable surfaces that delta directly from your git history, benchmarked against your team's own pre-AI performance. No tagging, no survey, no manual work. The answer is already in your codebase.

Churn rate · AI vs pre-AI
Pre-AI
1.0x
AI period
2.0x
GitClear research · average across AI-assisted commits
Duplicate code blocks · AI vs pre-AI
Pre-AI
1.0x
AI period
4.0x
GitClear 2025 · attributed to AI-assisted code generation
Developer trust in AI-generated code
Trust it
29%
Use it weekly
63%
Stack Overflow Developer Survey 2025
What you see

AI deltas across every contributor and every repo.

The dashboard surfaces the AI adoption delta across all your tracked metrics: velocity, churn, code quality signals, and per-author breakdowns. Everything is calibrated against your pre-AI baseline and updates automatically as your team ships.

No manual interpretation required. Scryable shows you where AI is helping, where it is adding noise, and which engineers are getting the most from it.

scryable · ai-measurement · last 90 days
live
+18% velocity
+1.4x churn
-12% quality
4 contributors
+vel
+churn
+vel
-quality
Get started

Connect your repos and see what your AI tools are actually doing to your code.

Free to start, no credit card required.

Get started free
One repo free forever · No credit card required · No integrations needed