Cross-agent observability from prompt to production

Git AI is the vendor-agnostic, open standard for tracking AI-generated code through the entire SDLC. Sign up for full observability into your Agents and the code they write.

Agents (Weekly Active)

Active users by coding tool.

Sep
Oct
Nov
Dec
Jan
Feb
ToolActive UsersAI Accepted Rate
Claude Code
47235.2%
Cursor
38427.9%
GitHub Copilot
29121.7%

Better Data, unified

Git AI provides full visibility into every Agent Session — what was generated, what was accepted, and what made it to production. All your agents, all your repos, one place.

  • Unified Dashboards — data from every agent in one place
  • Cost & token tracking across all providers and models
  • Full accounting of the AI-code in your repositories
Code Journey
12kGenerated4.2kCommitted3.1kPR Review2.4kMerged1.0kProduction884Durable (2wks)
For every 12 lines generated, 1 makes it to production↗ trending up
AI code is 16% less durable than human code↘ trending down
AI code is 21% more likely to cause an incident↘ trending down

Track AI-Code through the entire SDLC

Get insights into the durability, quality and reliability of AI-generated code as it moves from commit to PR to merge to production.

  • Authorship tracking — know which agent generated every line and who approved it
  • Incident correlation — connect production issues back to AI-generated code
  • Code durability — measure how long AI code survives before being removed or rewritten
Team Breakdown
Team% AIGen→ProdReadiness
Platform
72%
8:1
92
Payments
58%
22:1
81
Mobile
45%
41:1
74
Infra
63%
115:1
65

Breakdown by Repo, Team, Agents, Models

Spot differences between the codebases and teams that get the most from AI and those that don't. Identify what's working and scale it.

  • Track Agent Readiness of your repositories — see which codebases benefit most from AI
  • Compare models and agents — find the best tools for each type of work
Cost per PR
#1247Fix auth token refresh
codex$15.31
#1244
$▓.▓▓
#1241
$▓.▓▓
#1238
$▓.▓▓

Understand Costs

See which licenses are fully used, which are sitting idle, and what you're actually getting for your AI spend.

  • Cost per PR — see token spend broken down by agent, model, and repository
  • Token tracking — monitor usage across providers with unified reporting
  • License management — identify underutilized seats and optimize spend
Why Git AI?
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No workflow changesJust install the Git extension. Developers and agents commit the way they always have — everything just works.

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Git AI doesn't guessThe Coding Agents call Git AI and tell it exactly which lines they generated, resulting in the most accurate AI attribution possible.

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Agent Transcripts stored securlyGit AI links each line of AI-code to the prompt that generated it. Those prompts are stored in secure cloud or self-hosted prompt stores -- keeping your repos lean, free of sensitive information, and giving you control over your data.

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Git Native & Open standardGit AI built the open standard for tracking AI-generated code with Git Notes.

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Local-firstWorks offline. No API keys required.

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Rollout everywhereThe Git AI extension can be installed via MDM making it easy to deploy across your team.

Agent Analytics

Claude, Copilot, Cursor

Coding Agent dashboards don't have the data. They know token usage, LoC generated, but they don't track how many of those lines got committed, through code review, and into production.

Dev Productivity Tools

Jellyfish, LinearB

Developer Productivity tools ingest the poor data onto the dashboards and charge you for it.

Git AI for Teams

Unified dashboards that track AI code through the entire SDLC. Just install a Git Extension on every machine.

One dashboard for every agent
Line Level Attribution
Measure AI Code Accepted Rate
Measure AI Code Churn in PRs
Measure AI Code Durability + Quality in Production
Compare Agents and models

Enterprise Observability

See what AI is really doing in your codebase

Real data on how your team uses AI, what it costs, and whether the code it writes holds up in production.