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Book Overview & Buying
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Table Of Contents
The GitHub Copilot Handbook
By :
In this chapter, we showed the different ways to change the narrative when talking about GitHub Copilot. Instead of focusing on just producing more code more quickly, we want to focus on the impact these new tools have on our development process. We discussed the ethical usage of GitHub Copilot by looking at both the ethical objections to blindly trusting what LLMs produce, as well as the ethical impact of just accepting everything and stopping to think for yourself. To really get the benefits from generative AI, you need to have a solid (DevOps) foundation in place. This will guard you against a lot of failure modes and elevate the trust you have in the incoming changes. We then looked at expanding the use of AI to everyone in the team that is not an engineer by trade: from stakeholders to product owners/managers, and even your end users. Finally, we looked at how AI-enhanced engineering teams leverage all the features of GitHub Copilot in their development processes.
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