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notebooks/GenAI/AWS_Amazon_Q_Developer.ipynb

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"**Warning:** SageMaker Studio offers a wide range of machine learning functionalities, including tools for training and tuning models. However, deploying endpoints in SageMaker Studio can be very expensive. We strongly recommend using Amazon Bedrock for model testing and Generative AI (GenAI) work to manage costs more effectively.\n",
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"## Get Started",
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"\n",
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" In this tutorial, we will run through use cases that showcase many features Amazon Q Developer provides such as inline code completions, generating new code, and scanning for security vulnerabilities through the use of 'Quick Actions':\n",
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"\n",
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"- **/fix:** Corrects errors in code.\n"
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"- **/optimize:** Suggests optimization methods.\n"
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"- **/explain:** Explains code snippets and provides enhancement suggestions.\n"
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"- **/test:** Builds unit tests to evaluate and test code.\n"
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"* **/fix:** Corrects errors in code.\n"
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"* **/optimize:** Suggests optimization methods.\n"
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"* **/explain:** Explains code snippets and provides enhancement suggestions.\n"
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"* **/test:** Builds unit tests to evaluate and test code.\n"
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