Repo sync

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Docs changelog
 
+**26 August 2025**
+
+xAI Grok Code Fast 1 is now available in public preview for GitHub Copilot. Grok Code Fast 1 is slowly rolling out to all paid Copilot plans and you will be able to access the model in Visual Studio Code (Agent, Ask, and Edit modes).
+
+See [Supported AI models in GitHub Copilot](https://docs.github.com/en/copilot/reference/ai-models/supported-models).
+
+<hr>
+
 **15 August 2025**
 
 When interacting with the GitHub MCP server for a public repository, push protection blocks secrets from appearing in AI-generated responses and also prevents secrets from being included in any actions you perform, such as creating an issue.

content/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/about-secret-risk-assessment.md

@@ -33,8 +33,6 @@ Regularly assessing your exposure to leaked secrets is good practice to help ide
 
 ## About {% data variables.product.prodname_secret_risk_assessment %}
 
-{% data reusables.secret-risk-assessment.public-preview-note %}
-
 {% ifversion fpt %}
 
 >[!TIP] This report is only available if you are on the {% data variables.product.prodname_team %} plan. For information about the plan and how to upgrade, see [{% data variables.product.prodname_team %}](/get-started/learning-about-github/githubs-plans#github-team) and [Upgrading your organization's plan](/billing/managing-the-plan-for-your-github-account/upgrading-your-accounts-plan#upgrading-your-organizations-plan).
@@ -45,12 +43,12 @@ Regularly assessing your exposure to leaked secrets is good practice to help ide
 
 The {% data variables.product.prodname_secret_risk_assessment %} report provides the following insights:
 
-   * **Total secrets**—Aggregate count of exposed secrets detected within the organization.
-   * **Public leaks**—Distinct secrets found in your organization's public repositories.
-   * **Preventable leaks**—Secrets that could have been protected, using {% data variables.product.prodname_GH_secret_protection %} features such as {% data variables.product.prodname_secret_scanning %} and push protection.
-   * **Secret locations**—Locations that are scanned for the report. {% data reusables.secret-risk-assessment.what-is-scanned %}
-   * **Secret categories**—Distribution of the types of secrets that are leaked. Secrets can be partner secrets, which are strings that match secrets issued by service providers in our partner program, or generic secrets, which are non-provider patterns such as SSH keys, database connection strings, and JSON web tokens.
-   * **Repositories with leaks**—Repositories where leaked secrets were detected, out of all the repositories scanned.
+* **Total secrets**—Aggregate count of exposed secrets detected within the organization.
+* **Public leaks**—Distinct secrets found in your organization's public repositories.
+* **Preventable leaks**—Secrets that could have been protected, using {% data variables.product.prodname_GH_secret_protection %} features such as {% data variables.product.prodname_secret_scanning %} and push protection.
+* **Secret locations**—Locations that are scanned for the report. {% data reusables.secret-risk-assessment.what-is-scanned %}
+* **Secret categories**—Distribution of the types of secrets that are leaked. Secrets can be partner secrets, which are strings that match secrets issued by service providers in our partner program, or generic secrets, which are non-provider patterns such as SSH keys, database connection strings, and JSON web tokens.
+* **Repositories with leaks**—Repositories where leaked secrets were detected, out of all the repositories scanned.
 
 {% data reusables.security-overview.secret-risk-assessment-report-generation-cadence %}
 

content/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/choosing-github-secret-protection.md

@@ -69,8 +69,6 @@ In addition, repository administrators can enable security features at the repos
 
 ## Enabling {% data variables.product.prodname_secret_protection %} from the {% data variables.product.prodname_secret_risk_assessment %}
 
-{% data reusables.secret-risk-assessment.public-preview-note %}
-
 {% data reusables.organizations.navigate-to-org %}
 {% data reusables.organizations.security-overview %}
 {% data reusables.security-overview.open-assessments-view %}

content/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/interpreting-secret-risk-assessment-results.md

@@ -16,8 +16,6 @@ topics:
 
 The {% data variables.product.prodname_secret_risk_assessment %} dashboard displays point-in-time insights into the secrets detected in your organization. {% data reusables.secret-risk-assessment.link-conceptual-information %}
 
-{% data reusables.secret-risk-assessment.public-preview-note %}
-
 ## Prerequisites
 
 You need to generate a {% data variables.product.prodname_secret_risk_assessment %} report and wait for the scan to complete before being able to view and export the results. See [AUTOTITLE](/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/viewing-the-secret-risk-assessment-report-for-your-organization#generating-an-initial-secret-risk-assessment) and [Exporting the {% data variables.product.prodname_secret_risk_assessment %} to CSV](/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/viewing-the-secret-risk-assessment-report-for-your-organization#exporting-the-secret-risk-assessment-to-csv).

content/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/viewing-the-secret-risk-assessment-report-for-your-organization.md

@@ -20,8 +20,6 @@ topics:
 
 You can generate the {% data variables.product.prodname_secret_risk_assessment %} report for your organization, review it, and export the results to CSV.
 
-{% data reusables.secret-risk-assessment.public-preview-note %}
-
 ## Generating an initial {% data variables.product.prodname_secret_risk_assessment %}
 
 {% data reusables.organizations.navigate-to-org %}

content/copilot/reference/ai-models/model-comparison.md

@@ -21,33 +21,37 @@ contentType: reference
 
 ### Recommended models by task
 
+{% data reusables.copilot.grok-promo-period %}
+
 Use this table to find a suitable model quickly, see more detail in the sections below.
 
-| Model | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
-|-------|-----------|-------------------------------|--------------------------|------------------|
-| {% data variables.copilot.copilot_gpt_41 %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision | [{% data variables.copilot.copilot_gpt_41 %} model card](https://openai.com/index/gpt-4-1/)|
-| {% data variables.copilot.copilot_gpt_5_mini %}       | Deep reasoning and debugging | Well-defined tasks and precise prompts | Reasoning | Not available |
-| {% data variables.copilot.copilot_gpt_5 %}            | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_gpt_5 %} model card](https://cdn.openai.com/pdf/8124a3ce-ab78-4f06-96eb-49ea29ffb52f/gpt5-system-card-aug7.pdf) |
-| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_o3 %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
-| {% data variables.copilot.copilot_o4_mini %} | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Lower latency | [{% data variables.copilot.copilot_o4_mini %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
-| {% data variables.copilot.copilot_claude_opus_41 %}   | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus_41 %} model card](https://assets.anthropic.com/m/4c024b86c698d3d4/original/Claude-4-1-System-Card.pdf) |
-| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
-| {% data variables.copilot.copilot_claude_sonnet_35 %} | Fast help with simple or repetitive tasks | Quick responses for code, syntax, and documentation | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_35 %} model card](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) |
-| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_37 %} model card](https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf) |
-| {% data variables.copilot.copilot_claude_sonnet_40 %} | Deep reasoning and debugging | Performance and practicality, perfectly balanced for coding workflows | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_40 %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
-| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision | [{% data variables.copilot.copilot_gemini_25_pro %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro.pdf) |
-| {% data variables.copilot.copilot_gemini_flash %} | Working with visuals (diagrams, screenshots) | Real-time responses and visual reasoning for UI and diagram-based tasks | Vision | [{% data variables.copilot.copilot_gemini_flash %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2-flash.pdf) |
+| Model                                                 | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
+|-------------------------------------------------------|-----------|-------------------------------|-----------------------|------------------|
+| {% data variables.copilot.copilot_gpt_41 %}           | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision    | [{% data variables.copilot.copilot_gpt_41 %} model card](https://openai.com/index/gpt-4-1/)|
+| {% data variables.copilot.copilot_gpt_5_mini %}       | Deep reasoning and debugging | Well-defined tasks and precise prompts | Reasoning, vision     | Not available |
+| {% data variables.copilot.copilot_gpt_5 %}            | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning             | [{% data variables.copilot.copilot_gpt_5 %} model card](https://cdn.openai.com/pdf/8124a3ce-ab78-4f06-96eb-49ea29ffb52f/gpt5-system-card-aug7.pdf) |
+| {% data variables.copilot.copilot_o3 %}               | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning             | [{% data variables.copilot.copilot_o3 %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
+| {% data variables.copilot.copilot_o4_mini %}          | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Lower latency         | [{% data variables.copilot.copilot_o4_mini %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
+| {% data variables.copilot.copilot_claude_opus_41 %}   | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision     | [{% data variables.copilot.copilot_claude_opus_41 %} model card](https://assets.anthropic.com/m/4c024b86c698d3d4/original/Claude-4-1-System-Card.pdf) |
+| {% data variables.copilot.copilot_claude_opus %}      | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision     | [{% data variables.copilot.copilot_claude_opus %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
+| {% data variables.copilot.copilot_claude_sonnet_35 %} | Fast help with simple or repetitive tasks | Quick responses for code, syntax, and documentation | Agent mode, vision    | [{% data variables.copilot.copilot_claude_sonnet_35 %} model card](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) |
+| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision    | [{% data variables.copilot.copilot_claude_sonnet_37 %} model card](https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf) |
+| {% data variables.copilot.copilot_claude_sonnet_40 %} | Deep reasoning and debugging | Performance and practicality, perfectly balanced for coding workflows | Agent mode, vision    | [{% data variables.copilot.copilot_claude_sonnet_40 %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
+| {% data variables.copilot.copilot_gemini_25_pro %}    | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision     | [{% data variables.copilot.copilot_gemini_25_pro %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro.pdf) |
+| {% data variables.copilot.copilot_gemini_flash %}     | Working with visuals (diagrams, screenshots) | Real-time responses and visual reasoning for UI and diagram-based tasks | Vision                | [{% data variables.copilot.copilot_gemini_flash %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2-flash.pdf) |
+| {% data variables.copilot.copilot_grok_code %}        | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode      | [{% data variables.copilot.copilot_grok_code %} model card](https://data.x.ai/2025-08-20-grok-4-model-card.pdf)|
 
 ## Task: General-purpose coding and writing
 
 Use these models for common development tasks that require a balance of quality, speed, and cost efficiency. These models are a good default when you don't have specific requirements.
 
-| Model | Why it's a good fit |
-|-------|---------------------|
-| {% data variables.copilot.copilot_gpt_41 %} | Reliable default for most coding and writing tasks. Fast, accurate, and works well across languages and frameworks. |
-| {% data variables.copilot.copilot_claude_sonnet_37 %} | Produces clear, structured output. Follows formatting instructions and maintains consistent style. |
-| {% data variables.copilot.copilot_gemini_flash %}     | Fast and cost-effective. Well suited for quick questions, short code snippets, and lightweight writing tasks. |
-| {% data variables.copilot.copilot_o4_mini %}          | Optimized for speed and cost efficiency. Ideal for real-time suggestions with low usage overhead. |
+| Model                                                 | Why it's a good fit                                                                                                  |
+|-------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------|
+| {% data variables.copilot.copilot_gpt_41 %}           | Reliable default for most coding and writing tasks. Fast, accurate, and works well across languages and frameworks.  |
+| {% data variables.copilot.copilot_claude_sonnet_37 %} | Produces clear, structured output. Follows formatting instructions and maintains consistent style.                   |
+| {% data variables.copilot.copilot_gemini_flash %}     | Fast and cost-effective. Well suited for quick questions, short code snippets, and lightweight writing tasks.        |
+| {% data variables.copilot.copilot_o4_mini %}          | Optimized for speed and cost efficiency. Ideal for real-time suggestions with low usage overhead.                    |
+| {% data variables.copilot.copilot_grok_code %}        | Specialized for coding tasks. Performs well on code generation, and debugging across multiple languages.             |
 
 ### When to use these models
 

content/copilot/reference/ai-models/model-hosting.md

@@ -63,3 +63,22 @@ Used for:
 To provide better service quality and reduce latency, {% data variables.product.github %} uses [prompt caching](https://cloud.google.com/vertex-ai/generative-ai/docs/data-governance#customer_data_retention_and_achieving_zero_data_retention).
 
 When using {% data variables.copilot.copilot_gemini %} models, input prompts and output completions continue to run through {% data variables.product.prodname_copilot %}'s content filters for public code matching, when applied, along with those for harmful or offensive content.
+
+## xAI models
+
+{% data reusables.copilot.grok-promo-period %}
+
+{% data variables.copilot.copilot_grok_code %} is hosted by xAI when used in {% data variables.product.prodname_copilot %}.
+
+xAI operates {% data variables.copilot.copilot_grok_code %} in {% data variables.product.prodname_copilot %} under a zero data retention API policy. This means xAI commits that user content (both inputs sent to the model and outputs generated by the model):
+
+Will **not** be:
+* Logged for any purpose, including human review
+* Saved to disk or retained in any form, including as metadata
+* Accessible by xAI personnel
+
+Will **only**:
+* Exist temporarily in RAM for the minimum time required to process and respond to each request
+* Be immediately deleted from memory once the response is delivered
+
+When using xAI, input prompts and output completions continue to run through {% data variables.product.prodname_copilot %}'s content filters for public code matching, when applied, along with those for harmful or offensive content.