请问HN：对于一位经验丰富的开发者在开始新项目时，AI的配置应该是什么样的？
我已经在软件开发领域工作了超过20年，经历了不少风风雨雨。得益于我目前工作的慷慨福利，我开始接触大语言模型（LLM）领域，并对此印象深刻。然而，我们的项目基于遗留代码，因此LLM的影响在某种程度上是有限的。如果我要启动一个新项目（比如一个带后端的网页应用），那么目前的最佳实践是什么？在问题跟踪、持续集成、自动部署、代理、文档等方面，有没有一些可以直接部署的蓝图，让我能够站在前人的肩膀上？
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I have been working as a software developer for more than 20 years now. Been around the block a few times. Thanks to generous allowances in my current place, I've dipped my toes into LLM world and am quite impressed with it. However, we are on a legacy code base, LLM impact is limited in a sense. If I was to start a new project (let's say a web app with backend) - what is the state of the art for the setup? From Issue tracking, CI, automated deployments, agents, documentation etc - is there some blueprint I can just deploy and know that I am standing on the shoulders of giants?