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CHANGELOG.md

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# Docs changelog
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**26 August 2025**
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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).
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See [Supported AI models in GitHub Copilot](https://docs.github.com/en/copilot/reference/ai-models/supported-models).
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<hr>
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**15 August 2025**
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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

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## About {% data variables.product.prodname_secret_risk_assessment %}
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{% data reusables.secret-risk-assessment.public-preview-note %}
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{% ifversion fpt %}
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>[!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).
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The {% data variables.product.prodname_secret_risk_assessment %} report provides the following insights:
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* **Total secrets**—Aggregate count of exposed secrets detected within the organization.
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* **Public leaks**—Distinct secrets found in your organization's public repositories.
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* **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.
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* **Secret locations**—Locations that are scanned for the report. {% data reusables.secret-risk-assessment.what-is-scanned %}
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* **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.
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* **Repositories with leaks**—Repositories where leaked secrets were detected, out of all the repositories scanned.
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* **Total secrets**—Aggregate count of exposed secrets detected within the organization.
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* **Public leaks**—Distinct secrets found in your organization's public repositories.
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* **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.
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* **Secret locations**—Locations that are scanned for the report. {% data reusables.secret-risk-assessment.what-is-scanned %}
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* **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.
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* **Repositories with leaks**—Repositories where leaked secrets were detected, out of all the repositories scanned.
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{% data reusables.security-overview.secret-risk-assessment-report-generation-cadence %}
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content/code-security/securing-your-organization/understanding-your-organizations-exposure-to-leaked-secrets/choosing-github-secret-protection.md

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## Enabling {% data variables.product.prodname_secret_protection %} from the {% data variables.product.prodname_secret_risk_assessment %}
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{% data reusables.secret-risk-assessment.public-preview-note %}
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{% data reusables.organizations.navigate-to-org %}
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{% data reusables.organizations.security-overview %}
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{% 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

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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 %}
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{% data reusables.secret-risk-assessment.public-preview-note %}
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## Prerequisites
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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

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

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

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Use this table to find a suitable model quickly, see more detail in the sections below.
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| Model | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
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|-------------------------------------------------------|-----------|-------------------------------|-------------------------|------------------|
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| {% 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/)|
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| {% data variables.copilot.copilot_gpt_5_mini %} | Deep reasoning and debugging | Well-defined tasks and precise prompts | Reasoning, vision | Not available |
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| {% 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) |
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| {% 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/) |
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| {% 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/) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% data variables.copilot.copilot_grok_code %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision | [{% data variables.copilot.copilot_grok_code %} model card](https://data.x.ai/2025-08-20-grok-4-model-card.pdf)|
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|-------------------------------------------------------|-----------|-------------------------------|-----------------------|------------------|
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| {% 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/)|
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| {% data variables.copilot.copilot_gpt_5_mini %} | Deep reasoning and debugging | Well-defined tasks and precise prompts | Reasoning, vision | Not available |
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| {% 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) |
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| {% 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/) |
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| {% 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/) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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) |
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| {% 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)|
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## Task: General-purpose coding and writing
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content/issues/guides.md

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- /issues/planning-and-tracking-with-projects/creating-projects/creating-a-project
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- /issues/tracking-your-work-with-issues/using-issues/managing-issue-types-in-an-organization
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- /issues/tracking-your-work-with-issues/using-issues/adding-sub-issues
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- /issues/tracking-your-work-with-issues/using-issues/creating-issue-dependencies
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- /issues/tracking-your-work-with-issues/using-issues/filtering-and-searching-issues-and-pull-requests
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- /issues/tracking-your-work-with-issues/using-issues/viewing-all-of-your-issues-and-pull-requests
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- /issues/using-labels-and-milestones-to-track-work/managing-labels

content/issues/planning-and-tracking-with-projects/learning-about-projects/best-practices-for-projects.md

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Breaking a large issue into smaller issues makes the work more manageable and enables team members to work in parallel. It also leads to smaller pull requests, which are easier to review.
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To ensure efficient progress, clearly define which issues are blocked by, or blocking, other issues. See [AUTOTITLE](/free-pro-team@latest/issues/tracking-your-work-with-issues/using-issues/creating-issue-dependencies).
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To track how smaller issues fit into the larger goal, use milestones or labels. For more information, see [AUTOTITLE](/issues/using-labels-and-milestones-to-track-work/about-milestones) and [AUTOTITLE](/issues/using-labels-and-milestones-to-track-work/managing-labels).
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{% ifversion sub-issues %}
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{% data reusables.issues.about-sub-issues %} See [AUTOTITLE](/issues/tracking-your-work-with-issues/using-issues/adding-sub-issues) and [AUTOTITLE](/issues/tracking-your-work-with-issues/using-issues/browsing-sub-issues).
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To ensure efficient progress, clearly define which issues are blocked by, or blocking, other issues. See [AUTOTITLE](/free-pro-team@latest/issues/tracking-your-work-with-issues/using-issues/creating-issue-dependencies).
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To track how smaller issues fit into the larger goal, use milestones or labels. For more information, see [AUTOTITLE](/issues/using-labels-and-milestones-to-track-work/about-milestones) and [AUTOTITLE](/issues/using-labels-and-milestones-to-track-work/managing-labels).
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## Make use of the description, README, and status updates to share information about a project
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Use your project's description and README to share information about the project.

content/issues/tracking-your-work-with-issues/learning-about-issues/about-issues.md

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You can define blocking relationships between issues using issue dependencies. Issue dependencies let you identify issues that are blocked by, or blocking, other work. See [AUTOTITLE](/free-pro-team@latest/issues/tracking-your-work-with-issues/using-issues/creating-issue-dependencies).
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## Metadata on issues
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You can add metadata to your issues, including {% ifversion issue-types %}issue types, {% endif %}labels and milestones to organize your issues.
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See {% ifversion issue-types %}[AUTOTITLE](/issues/tracking-your-work-with-issues/using-issues/managing-issue-types-in-an-organization), {% endif %}[AUTOTITLE](/issues/using-labels-and-milestones-to-track-work/managing-labels) and [AUTOTITLE](/issues/using-labels-and-milestones-to-track-work/about-milestones).
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Issues integrate with your work all across {% data variables.product.github %}. Mentioning an issue in another issue or pull request will create references between them and using keywords, like `fixes:`, in your pull requests will automatically close the associated issues. See [AUTOTITLE](/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue).
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{% ifversion fpt or ghec %} See [AUTOTITLE](/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) and [AUTOTITLE](/issues/tracking-your-work-with-issues/assigning-issues-and-pull-requests-to-other-github-users).
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content/issues/tracking-your-work-with-issues/learning-about-issues/planning-and-tracking-work-for-your-team-or-project.md

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![Screenshot of an issue called "Front-end work for Project Octocat." In the right sidebar, in the "Labels" section, the "front-end" label is applied.](/assets/images/help/issues/quickstart-add-label-to-issue.png)
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## Showing which issues are blocked by, or blocking, other work
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By creating issue dependencies, you can easily see and communicate which issues are blocked by, or blocking, other issues. This helps streamline coordination, prevent bottlenecks and increase transparency across the team. See [AUTOTITLE](/free-pro-team@latest/issues/tracking-your-work-with-issues/using-issues/creating-issue-dependencies).
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