Become an AI-native
engineering org

Cross-agent observability to help you navigate your team's AI-adoption, figure out the best practices, and maintain large AI-generated codebases.

Track AI Code from Any Agent

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Claude Code
GitHub Copilot
Gemini
OpenCode
RovoDev
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% AI Code

83%

▲ up from 63% 1mo ago

Code Durability

2x

AI code churns 2x faster · ▼ down from 4x

Token Efficiency

100 : 18

lines generated that make it to production

Incident Rate

1.2x

more incidents from AI-generated code

Median Developer

1.2

agents at a time

62%

AI code

1.8x

faster per storypoint

Cross-agent observability from prompt to production

Git AI is the vendor-agnostic, open standard for tracking AI-generated code through the entire SDLC. The Self-Hosted Enterprise Edition provides leading observability into your Agents and the code they write.

  • Track AI-lines through the entire SDLC
  • PR level token costs, time savings, % AI code
  • Understand the full lifecycle of AI code
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This makes sure our CLI can accept stdin on any platform - @Claude

Save the plans, requirements, and decisions behind AI-code

Agents are expanding codebases faster than ever—but developers still have to maintain these systems. Git AI securely stores prompts so developers and agents can understand what each line is doing and how it got there.

  • The "why" for every line — intent stays with the code forever
  • Own your prompts — don't let vendors lock you in
  • Past prompts make agents smarter and more maintainable
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Your Developer Dashboard

73% of your Code is written with AI

Code DurabilitySolid!

85% in prod after 3wks

See what's working →

Parallel AgentsGreat!

2.1 agents at once

See what's working →

Agent Thrash

141 generated lines : 1 to prod

See 3 Suggestions →

PR Accepted Rate

72% (low)

See 1 Suggestion →

Build AI-native engineering teams

Tooling is 1% of the journey. Git AI helps your engineers prompt better and learn to manage multiple agents at once. Because we have observability into every interaction and the full lifecycle of AI-generated code, we can identify what works — and help you spread best practices faster.

  • Discover which prompting practices work best
  • Private dashboards for every engineer
  • Real data on what works — eval new tools with production signals
Book a Demo

Your Partners for this year's AI-initiatives

Accelerate your AI Journey with Data

This is the year to become an AI-native engineering org. Git AI can help you get there faster, without sacrificing quality, security, or maintainability.

Cloud or Self-HostedCross-Agent ObservabilityAdoption & License UsageCompare Agents & ModelsEval Tools You BuildSecure Prompt StoragePrompt AnalysisPast-Prompts as ContextRollout SupportMDM DistributionExport to Datalake + OTEL