AI-Native Developer Analytics

Measurable Engineering Performance Efficiency Sustainability insights

Rotate your phone to view the slideshow

Turn your device horizontally for the interactive preview.

Problems GitMe Solves

The invisible engineering gaps — now visible.

Bottlenecks and blind spots surface quietly — until GitMe brings them to light.

How it works

From setup to clarity in a few minutes.

Connect Git providers once, let GitMe’s AI classify every change, and unlock a live map of impact across teams, tools, and initiatives.

  1. 1

    Connect repositories securely

    Authenticate GitMe with your Git platform to enable secure sync. GitMe safely analyzes commit history using end-to-end encryption.

    Start integration
  2. 2

    Let AI interpret every commit

    Our models parse diffs, estimate Real Effort Value minutes, label 13 contribution categories, and detect AI assistance for each change.

  3. 3

    Align around real-time insights

    GitMe transforms engineering data into actionable intelligence. Dashboards highlight progress, risks, and impact — empowering executives, team leads, and developers with data-driven insights on performance, efficiency, and sustainability.

Trust Signal

Trust Ledger: the proof behind GitMe.

A quick snapshot of the scale and accuracy behind GitMe’s signal.

Signal depth

0

Commits analyzed with GitMe.

Performance coverage

0

Developers whose performance narratives are backed by GitMe.

Industry proof

0

Industry cases validated.

Correlation strength

0

0.96 correlation between GitMe’s REV score and real effort.

Any Questions? Look Here

Bring clarity to every engineering conversation.

We built GitMe to replace manual reporting and biased scorecards with trustworthy analytics. Browse the answers below, or reach out and we’ll tailor a walkthrough for your team.

Is GitMe a replacement for DORA metrics?

Yes — GitMe replaces scattered DORA dashboards with a single AI-driven contribution model.

Does GitMe work with any Git provider?

Yes — GitHub, GitLab, Bitbucket, and self-hosted instances connect in minutes with read-only scopes.

How does GitMe measure developer contribution?

It blends semantic diff analysis, AI-usage detection, and collaboration signals to surface the effort behind each change.

Is the analysis objective and bias-free?

Yes — impact areas are weighted consistently so everyone can rely on objective, data-first insights.