Merge pull request #10 from ymansiaux/move_thinkr_content

update ia

docs/index.html

@@ -235,7 +235,7 @@ <h3 class="no-anchor listing-title">
 </a>
 </div>
 </div>
-<div class="quarto-post image-right" data-index="1" data-categories="development,package,ia" data-listing-date-sort="1731106800000" data-listing-file-modified-sort="1731150126464" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="8" data-listing-word-count-sort="1480">
+<div class="quarto-post image-right" data-index="1" data-categories="development,package,ia" data-listing-date-sort="1731106800000" data-listing-file-modified-sort="1731150579695" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="8" data-listing-word-count-sort="1480">
 <div class="thumbnail">
 <p><a href="./posts/iaforr/index.html" class="no-external"></a></p><a href="./posts/iaforr/index.html" class="no-external">
 <p><img loading="lazy" src="./posts/iaforr/image.jpg" class="thumbnail-image"></p>

docs/posts/iaforr/index.html

@@ -208,7 +208,7 @@ <h3 class="anchored" data-anchor-id="github-copilot-in-rstudio">GitHub Copilot i
 </section>
 <section id="github-copilot-in-vscode" class="level3">
 <h3 class="anchored" data-anchor-id="github-copilot-in-vscode">GitHub Copilot in VSCode</h3>
-<p>To use GitHub Copilot in VSCode, install the GitHub Copilot extension. Once the extension is installed, enable Copilot by logging into your GitHub account.</p>
+<p>To use GitHub Copilot in VSCode, install the <a href="https://marketplace.visualstudio.com/items?itemName=GitHub.copilot">GitHub Copilot extension</a>. Once the extension is installed, enable Copilot by logging into your GitHub account.</p>
 </section>
 <section id="github-copilot-in-positron" class="level3">
 <h3 class="anchored" data-anchor-id="github-copilot-in-positron">GitHub Copilot in Positron</h3>
@@ -313,7 +313,8 @@ <h3 class="anchored" data-anchor-id="did-you-know-that-some-r-specific-gpts-are-
 <section id="conclusion" class="level2">
 <h2 class="anchored" data-anchor-id="conclusion">Conclusion</h2>
 <p>For R programmers, GitHub Copilot and ChatGPT can complement each other effectively. Copilot shines for in-context code generation, while ChatGPT is ideal for answering questions, exploring R libraries, and understanding errors. By combining these tools, R developers can boost productivity, streamline repetitive coding tasks, and expand their knowledge—all while enhancing their coding efficiency and accuracy.</p>
-<p>The main takeaway is that these tools are here to help you, not replace you. They can save you time and provide new insights, but they can’t replace your expertise and creativity. Always review the generated code, documentation, and tests to ensure they meet your project’s requirements. Have fun !</p>
+<p>The main takeaway is that these tools are here to help you, not replace you. They can save you time and provide new insights, but they can’t replace your expertise and creativity. Always review the generated code, documentation, and tests to ensure they meet your project’s requirements.</p>
+<p>Have fun !</p>
 </section>
 <section id="ressources" class="level2">
 <h2 class="anchored" data-anchor-id="ressources">Ressources</h2>

docs/search.json

@@ -284,7 +284,7 @@
     "href": "posts/iaforr/index.html#conclusion",
     "title": "How Github Copilot and ChatGPT have changed my life as an R developer",
     "section": "Conclusion",
-    "text": "Conclusion\nFor R programmers, GitHub Copilot and ChatGPT can complement each other effectively. Copilot shines for in-context code generation, while ChatGPT is ideal for answering questions, exploring R libraries, and understanding errors. By combining these tools, R developers can boost productivity, streamline repetitive coding tasks, and expand their knowledge—all while enhancing their coding efficiency and accuracy.\nThe main takeaway is that these tools are here to help you, not replace you. They can save you time and provide new insights, but they can’t replace your expertise and creativity. Always review the generated code, documentation, and tests to ensure they meet your project’s requirements. Have fun !"
+    "text": "Conclusion\nFor R programmers, GitHub Copilot and ChatGPT can complement each other effectively. Copilot shines for in-context code generation, while ChatGPT is ideal for answering questions, exploring R libraries, and understanding errors. By combining these tools, R developers can boost productivity, streamline repetitive coding tasks, and expand their knowledge—all while enhancing their coding efficiency and accuracy.\nThe main takeaway is that these tools are here to help you, not replace you. They can save you time and provide new insights, but they can’t replace your expertise and creativity. Always review the generated code, documentation, and tests to ensure they meet your project’s requirements.\nHave fun !"
   },
   {
     "objectID": "posts/iaforr/index.html#ressources",

posts/iaforr/index.qmd

@@ -31,7 +31,7 @@ If you want Copilot to base its suggestions not only on the current file but als
 
 ### GitHub Copilot in VSCode
 
-To use GitHub Copilot in VSCode, install the GitHub Copilot extension. Once the extension is installed, enable Copilot by logging into your GitHub account.
+To use GitHub Copilot in VSCode, install the [GitHub Copilot extension](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot). Once the extension is installed, enable Copilot by logging into your GitHub account.
 
 ### GitHub Copilot in Positron
 
@@ -182,7 +182,9 @@ Among the many R-specific GPT's available, I recommend using R Wizard, which see
 
 For R programmers, GitHub Copilot and ChatGPT can complement each other effectively. Copilot shines for in-context code generation, while ChatGPT is ideal for answering questions, exploring R libraries, and understanding errors. By combining these tools, R developers can boost productivity, streamline repetitive coding tasks, and expand their knowledge—all while enhancing their coding efficiency and accuracy.
 
-The main takeaway is that these tools are here to help you, not replace you. They can save you time and provide new insights, but they can't replace your expertise and creativity. Always review the generated code, documentation, and tests to ensure they meet your project’s requirements. Have fun !
+The main takeaway is that these tools are here to help you, not replace you. They can save you time and provide new insights, but they can't replace your expertise and creativity. Always review the generated code, documentation, and tests to ensure they meet your project’s requirements. 
+
+Have fun !
 
 ## Ressources