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		<title>Using GitHub Copilot in your IDE: Tips, tricks, and best practices</title>
		<link>https://noise.getoto.net/2024/03/25/how-to-use-github-copilot-in-your-ide-tips-tricks-and-best-practices/</link>
		
		<dc:creator><![CDATA[Kedasha Kerr]]></dc:creator>
		<pubDate>Mon, 25 Mar 2024 17:06:19 +0000</pubDate>
				<category><![CDATA[AI Insights]]></category>
		<category><![CDATA[Engineering]]></category>
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					<description><![CDATA[<p>GitHub Copilot is a powerful AI assistant. Learn practical strategies to get the most out of GitHub Copilot to generate the most relevant and useful code suggestions in your editor.</p>
<p>The post <a href="https://github.blog/2024-03-25-how-to-use-github-copilot-in-your-ide-tips-tricks-and-best-practices/">Using GitHub Copilot in your IDE: Tips, tricks, and best practices</a> appeared first on <a href="https://github.blog/">The GitHub Blog</a>.</p>]]></description>
		
		
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		<title>How to use GitHub Copilot: Prompts, tips, and use cases</title>
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		<dc:creator><![CDATA[Rizel Scarlett]]></dc:creator>
		<pubDate>Tue, 20 Jun 2023 16:00:08 +0000</pubDate>
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		<category><![CDATA[GitHub Copilot]]></category>
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					<description><![CDATA[In this prompt guide for GitHub Copilot, two GitHub developer advocates, Rizel and Michelle, will share examples and best practices for communicating your desired results to the AI pair programmer.]]></description>
		
		
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		<title>How I used GitHub Copilot to build a browser extension</title>
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		<dc:creator><![CDATA[Rizel Scarlett]]></dc:creator>
		<pubDate>Fri, 12 May 2023 16:00:32 +0000</pubDate>
				<category><![CDATA[education]]></category>
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		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[GitHub Copilot]]></category>
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					<description><![CDATA[Here’s how, in seven steps, I built my first browser extension with GitHub Copilot—and my three major takeaways about learning and pair programming in the age of AI.]]></description>
		
		
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		<title>Build a semantic search engine for tabular columns with Transformers and Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2023/03/01/build-a-semantic-search-engine-for-tabular-columns-with-transformers-and-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Kachi Odoemene]]></dc:creator>
		<pubDate>Wed, 01 Mar 2023 19:52:28 +0000</pubDate>
				<category><![CDATA[Amazon ML Solutions Lab]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[embedding]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[python]]></category>
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					<description><![CDATA[Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. The inability to accurately find and analyze data from disparate sources represents a potential efficiency killer for everyone from data scientists, medical researchers, academics, to financial and government analysts. Conventional […]]]></description>
		
		
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		<title>Using serverless backends to iterate quickly on web apps – part 3</title>
		<link>https://noise.getoto.net/2020/08/31/using-serverless-backends-to-iterate-quickly-on-web-apps-part-3/</link>
		
		<dc:creator><![CDATA[James Beswick]]></dc:creator>
		<pubDate>Mon, 31 Aug 2020 14:23:17 +0000</pubDate>
				<category><![CDATA[Amazon Rekognition]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Serverless Application Model]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Tutorial]]></category>
		<category><![CDATA[Vue.js]]></category>
		<category><![CDATA[Web app]]></category>
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					<description><![CDATA[Previously in this series, you deploy a simple workflow for processing image uploads in the Happy Path web application. In this post, you add progressively more complex functionality by deploying new versions of workflows.]]></description>
		
		
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