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ListingAI Application
ProviderSourcegraph
OriginUS
UpdatedFebruary 17, 2026Added February 17, 2026

Cody by Sourcegraph

by Sourcegraph

AI ApplicationLow Confidence

Cody is an AI-powered code assistant developed by Sourcegraph that helps developers write, understand, and fix code more efficiently. It provides context-aware code completions, explanations, and automated fixes by leveraging large language models trained on vast amounts of public and private code repositories. Cody integrates with popular IDEs (e.g., VS Code, JetBrains) and can be customized to understand an organization's specific codebase, making it a versatile tool for individual developers and enterprise teams. Cody also includes features like code navigation, documentation generation, and vulnerability detection.

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On this page
Transparency Score
60%
Moderate transparency
0·25·50·75100
Supply Chain
20/20
Compliance
10/20
Policy
25/25
Technical
0/25
Ethical & Operational
5/10
02Capabilities

Capabilities

  • 01Code Generation
  • 02Code Completion
  • 03Code Review
  • 04Documentation Generation
  • 05Vulnerability Detection
03What it sees

Data Categories

  • 01Code Snippets
  • 02Pii
  • 03User Content
  • 04Conversation Logs
  • 05Repository Metadata
04Behind the product

Vendor Information

Complete information about the vendor/provider of this AI application

Company Name
Sourcegraph
View all products →→
Legal Entity
Sourcegraph, Inc.
Website
sourcegraph.com
Email
support@sourcegraph.com
Registered Address
548 Market St PMB 20739., San Francisco, CA, 94104-5401, US
On the map

Where they operate

Registered headquarters of the provider entity.

Headquarters
05Regulation · EU AI Act

EU AI Act Provider Information

Disclosure published under EU AI Act articles covering provider identity, conformity, and transparency obligations.

Verification StatusUnverified
EU Authorized Representative

Not designated — provider is established within the Union.

Compliance Documents
  • CE Marking
    Not Applicable
Transparency disclosures
06Risk profile

Risks

Potential Risks

1 considerations identified

Review recommended before use

1High
These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.
07Network

Supply Chain Network

Visual representation of the vendor's digital supply chain relationships

08Paperwork

Policies & Documents

Legal, privacy, and compliance documentation

Legal & Terms

Acceptable Use Policy
Acceptable Use Policy

Privacy & Security

Privacy Policy
Privacy Policy

Compliance

AI Transparency
AI Transparency
European Union
09EU-based

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