From the course: OpenAI API and MCP Development

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Debugging and reviewing code with AI suggestions

Debugging and reviewing code with AI suggestions

From the course: OpenAI API and MCP Development

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Debugging and reviewing code with AI suggestions

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GitHub Models offers a set of built-in features to support prompt iteration, evaluation, and also AI integration. So we could see that after using several features and built-in tools in the Playground, and we're gonna discover also that GitHub Models also supports reusable prompts. And we could test already this tool, the Prompt Editor, to iterate over the same prompts using several language models, and then compare their results in order to select which language model could be the best suitable for our specific use case and business needs, for example. We're gonna see how to actually be able to reuse prompts and run a prompt within our own development environments. For example, we're gonna see how to create and use prompt files in VS Code. And I'm gonna show you how to do it also within Codespaces. So let's look at how we can create a prompt file. Basically, we want to define and configure instructions to send to the language models. And what is interesting is that we're going to be…

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