Remove public preview markers for Copilot Coding Agent (now GA) (#58494)
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: timrogers <116134+timrogers@users.noreply.github.com> Co-authored-by: Tim Rogers <me@timrogers.co.uk> Co-authored-by: Sarita Iyer <66540150+saritai@users.noreply.github.com> Co-authored-by: Tim Rogers <timrogers@github.com>
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@@ -37,7 +37,7 @@ The use of AI tools is increasingly becoming a standard part of a software devel
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* **Deployment**:
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* **{% data variables.copilot.copilot_chat_short %}** can help you configure continuous integration and continuous deployment (CI/CD) pipelines.
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* **Operation**:
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* **{% data variables.copilot.copilot_coding_agent %}** ({% data variables.release-phases.public_preview %}) can raise pull requests for open issues.
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* **{% data variables.copilot.copilot_coding_agent %}** can raise pull requests for open issues.
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* **{% data variables.copilot.copilot_chat_short %}** can help with tasks you're working on yourself.
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## Planning
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@@ -125,7 +125,7 @@ The deployment phase involves preparing your code for production and ensuring a
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During the operation phase, the focus is on maintaining and monitoring your application in production to ensure it runs smoothly and meets user expectations. This phase often involves tasks like debugging production issues, optimizing performance, and ensuring system reliability.
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You can use the **{% data variables.copilot.copilot_coding_agent %}** ({% data variables.release-phases.public_preview %}) as an autonomous agent that can help maintain and improve your application in production. Assign a {% data variables.product.github %} issue to {% data variables.product.prodname_copilot_short %}, and it will autonomously explore the repository, identify potential fixes, and create a pull request with the proposed changes. Then it will automatically request a review from you.
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You can use the **{% data variables.copilot.copilot_coding_agent %}** as an autonomous agent that can help maintain and improve your application in production. Assign a {% data variables.product.github %} issue to {% data variables.product.prodname_copilot_short %}, and it will autonomously explore the repository, identify potential fixes, and create a pull request with the proposed changes. Then it will automatically request a review from you.
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For issues you're tackling yourself, use **{% data variables.copilot.copilot_chat_short %}** for help analyzing logs, debugging issues, and suggesting optimizations. For example:
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@@ -158,7 +158,7 @@ To integrate agentic AI features effectively into your workstreams, you'll need
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| Custom instructions | [AUTOTITLE](/copilot/customizing-copilot/adding-repository-custom-instructions-for-github-copilot?tool=vscode) |
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| {% data variables.copilot.copilot_code-review_short %} | [AUTOTITLE](/copilot/how-tos/agents/copilot-code-review/automatic-code-review) |
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| {% data variables.copilot.copilot_custom_agents %} | [AUTOTITLE](/copilot/concepts/agents/coding-agent/about-custom-agents) |
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| {% data variables.copilot.copilot_coding_agent %} ({% data variables.release-phases.public_preview %}) | [AUTOTITLE](/copilot/rolling-out-github-copilot-at-scale/enabling-developers/using-copilot-coding-agent-in-org) |
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| {% data variables.copilot.copilot_coding_agent %} | [AUTOTITLE](/copilot/rolling-out-github-copilot-at-scale/enabling-developers/using-copilot-coding-agent-in-org) |
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| {% data variables.copilot.copilot_autofix_short %} | [AUTOTITLE](/code-security/code-scanning/enabling-code-scanning/configuring-default-setup-for-code-scanning) |
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{% endrowheaders %}
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