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docs: added note on outdated blog posts (#1171)

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Angie Jones
2025-02-10 11:15:52 -06:00
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documentation/blog/2024-11-22-screenshot-driven-development/index.md
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@@ -15,6 +15,10 @@ However, I didn't want to spend hours implementing the CSS for each design trend
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:::warning Goose Beta Version
This post was written about a beta version of Goose and the commands and flow may have changed.
:::
### My original calendar:
![calendar](screenshot-calendar-og.png)

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documentation/blog/2024-12-06-previewing-goose-v10-beta/index.md
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@@ -27,7 +27,7 @@ Goose will remember previous interactions to better understand ongoing projects.
### 3. Improved Plugin System
In Goose v1.0, the Goose toolkit system is being replaced with Systems. Systems are modular daemons that Goose can interact with dynamically. As a result, Goose will be able to support more complex plugins and integrations. This will make it easier to extend Goose with new features and functionality.
In Goose v1.0, the Goose toolkit system is being replaced with Extensions. Extensions are modular daemons that Goose can interact with dynamically. As a result, Goose will be able to support more complex plugins and integrations. This will make it easier to extend Goose with new features and functionality.
### 4. Headless mode

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documentation/blog/2024-12-10-connecting-ai-agents-to-your-systems-with-mcp/index.md
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### The MCP Open Standard
Anthropic is leading the charge with the [Model Context Protocol (MCP)](https://modelcontextprotocol.io), an open standard that enables large language model (LLM) applications to connect with external systems, providing the necessary context for more informed and relevant AI interactions.

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documentation/blog/2024-12-11-resolving-ci-issues-with-goose-a-practical-walkthrough/index.md
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![CI](goose-github-ci.png)
Running into Continuous Integration (CI) failures in pull requests can be quite frustrating but they happen very often. In this post, we leverage the GitHub CLI (`gh`) using Goose to simplify your CI debugging process, fetch detailed information about failed CI runs & annotations directly from GitHub, and even apply fixes directly.
Running into Continuous Integration (CI) failures in pull requests can be quite frustrating but they happen very often. In this post, we leverage the GitHub CLI (`gh`) using Goose to simplify your CI debugging process, fetch detailed information about failed CI runs and annotations directly from GitHub, and even apply fixes directly.
<!-- truncate -->
:::warning Goose Beta Version
This post was written about a beta version of Goose and the commands and flow may have changed.
:::
## Getting Started