Production AI Institute · Public record
<- AI Data Use Index
Request a clearer disclosure

People should not have to stitch together five policy pages to get one answer.

Choose a product and generate a calm, useful ask: support email, public post, or procurement questions. The point is clearer answers, not louder theatre.

Email or support ticket

For people who want a calm, serious answer from the provider.

Hello Sourcegraph team,

I am trying to understand the public data-use posture for Sourcegraph Cody.

Could you publish or point me to one plain-language disclosure that clearly states:
- whether prompts, files, chats, or other user content are used to train or improve AI models
- whether the answer depends on user or administrator settings
- how to opt out where applicable
- what is said about retention and human review

The Production AI Institute's AI Data Use Index currently records the public answer as: "Sourcegraph says it and its partner LLMs do not use customer code to train models, and partner LLMs operate under zero-retention terms for inputs, outputs, and code context subject to a narrow abuse-prevention exception."

A clearer single disclosure would help users, buyers, and reviewers understand the product without stitching together multiple policy pages.

Thank you.

Public post

For people who want to ask in public without sounding unserious.

I want a clearer public answer from Sourcegraph about how Sourcegraph Cody uses people's data for AI training, opt-outs, retention, and human review.

Current public summary from the PAI AI Data Use Index:
"Sourcegraph says it and its partner LLMs do not use customer code to train models, and partner LLMs operate under zero-retention terms for inputs, outputs, and code context subject to a narrow abuse-prevention exception."

People should not have to guess.
https://www.productionai.institute/ai-data-use/sourcegraph-cody

Buyer questions

For organisations that need procurement-grade clarity before approval.

Ask Sourcegraph to answer these questions for Sourcegraph Cody:

1. What exact customer or user data categories may be used to train or improve AI models?
2. Which defaults apply by plan, region, or account type?
3. Which settings change the answer, and who controls them?
4. What retention applies to prompts, files, outputs, and metadata?
5. When can humans review the content?
6. Where is the single public disclosure a buyer can rely on?

PAI reference: https://www.productionai.institute/ai-data-use/sourcegraph-cody