AI Code that can be maintained and built upon

Each week, thousands of AI-generated lines are entering your codebase. Git AI links AI-generated code to the prompts that created it — so intent, requirements, and architecture decisions stay with the code.

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This is here to make sure we can handle stdin across every supported shell
Opus 4.5 · John Smith

Help developers understand large AI-generated codebases

The “why” for every line. Git AI links AI-generated code to the prompts that created it. Intent, requirements, and decisions stay with the code—forever.

  • Full prompt history for every AI-generated line of code
  • Preserve the "why" behind every line of AI-Code
  • Ask the agent who wrote any section's code questions about it
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Built into the IDE:VSCodeCursorWindsurfClineEmacsIntelliJsoon

AI Blame

See which code was AI-generated and what it's supposed to do, in the IDE.

  • Git-native blame annotations for AI-generated code
  • IDE integration: hover any line to see its AI origin
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Cloud
Git AI managed
Prompt Store
Self-Hosted
Your infrastructure
Prompt Store
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Own your prompts

Store full agent transcripts or summaries. Git AI makes prompts portable and lets you store them on your own infrastructure.

  • All prompt data stays within your infrastructure
  • Portable format — never locked into any vendor's platform
  • Built-in access controls to use prompts as context
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Agent Session · Plan Mode
Exploring codebase10 tools
Reading past prompts(/ask)

“We avoid the Sentry SDK here because we need to manage our own batching and flushing outside the CLI — otherwise it hangs before exiting. I'll keep the manual approach.”

Past Prompts Make Agents Smarter

When agents can read past prompts and understand what existing code is supposed to do, they make fewer mistakes and produce more maintainable code.

  • Agents plan better when they know the intent behind the code they're working with
  • Smarter agents. More one-shots
  • Agents respect past architecture decisions
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Maintain AI Codebases

Prompts are the new code

Store and summarize them, link them to the lines they generated so your agents and engineers have the context they need to maintain all the AI-code.