Engineering intelligence

Uncover AI's impact on velocity & code quality.

Scryable measures the real impact of your AI tools — on velocity, code quality, and the engineers using them.

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One repo free forever · No credit card required

scryable · api-service + web-dashboard · Mar 10 → Apr 10 ◉ fresh · 2m ago
What's actually happening

The truth is in your git history.

Every commit tells a story. Scryable reads them all — surfacing velocity trends, quality signals, and whether your AI tools are producing the outcomes you're paying for.

Most decisions about AI tooling are made on instinct: which tools to adopt, for which tasks, at which points in the workflow. There is rarely a baseline to compare against, rarely a way to separate genuine velocity gains from noise, and rarely a clear picture of what has changed in the code itself. Scryable builds that baseline from your git history and shows you what is actually there.

scryable · api-service · last 90 days
live
The adoption gap

Having the tools doesn't mean getting results.

Teams that adopt AI across many wide parts of the SDLC have been shown to have lower velocity than those who focus AI usage in just a couple of areas.

The teams winning with AI are the ones measuring what is actually working, and not flying blind. Tracking velocity before and after, watching for churn, and adjusting based on what they find are good indicators of success. Scryable gives you the insights to do that.

Teams that treat AI as a strategic priority see 40-50% higher velocity than those that treat it as an operational add-on.
Commit volume typically rises +18% in the first 60 days after AI adoption, but average churn ratio rises by 1.38x when that adoption goes unmeasured.
How it works

Three steps. No integrations required.

STEP 01
Point it at your repos.
Connect your GitHub or GitLab organisation. Scryable reads your commit history — no code execution, no agent, no access to your production systems.
STEP 02
Scryable reads the history.
We analyse every commit: who wrote it, what changed, how it relates to what came before and after. AI-assisted output is identified without requiring any commit metadata.
STEP 03
Understand how AI has impacted your core metrics.
Amongst many other metrics, the dashboard shows velocity, quality signals, churn, per-author breakdowns, and the AI adoption delta.
Features

Explore what Scryable measures.

Core · AI Measurement
AI deltas across all your metrics.
Understand how core metrics have been impacted by your AI adoption: velocity, quality, and churn compared against your pre-AI baseline.
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Signal · Quality
Code churn, rework, and duplicate detection.
Speed without quality is faster debt accumulation. Track the signals that tell you whether AI output is landing cleanly.
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Signal · Adoption
Who's using AI, and how.
Per-author breakdowns show you where AI-assisted output is concentrated, who's adapting well, and where coaching might help.
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Core · Reporting
Built for engineering leaders and their stakeholders.
Shareable views and plain-language summaries you can put in front of a CTO without translation.
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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