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AI Generates 90% of My Code | 052

In today’s episode, we welcome Natalie Pistunovich, host of the Go Time podcast, OpenAI Ambassador and Google Developer Expert for Go. She advises companies on how to make the most of AI and adopt it properly and also teaches the Cloud and Infrastructure course for B.Sc. students at the HTW Berlin. In this episode, we talk all about AI driven development and how is Go one of the best languages suited for code generation, the future of LLM’s and how can we boost the average developer’s job with AI, creating custom GPT’s, changes in the area of AI Chips, and a lot of other fascinating topics. Learn back-end development - ⁠https://boot.dev⁠ Listen on your favorite podcast player: ⁠https://www.backendbanter.fm ⁠Natalie's Twitter/X: ⁠  / nataliepis⁠   Timestamps: 00:00 Who is Natalie Pistunovich 01:33 AI Driven Development in Go 02:42 MLOps, AIOps 06:19 What is Natalie's talk more focused on? 09:01 What else makes Go a good language for AI generated code? 11:04 Autocomplete generating non-existing library names 12:02 Lazy LLM's? 12:52 How to boost software development with AI 14:24 On creating a custom GPT 15:54 Will GPT's help build better SaaS? 19:03 Future of the integration of LLM's and Developer Experience 21:35 Even in the future, we'll still want to inspect the output to production 25:48 What's the other side of the bidirectional relationship of Go and LLM's 27:12 Changes in the world of AI Chips 28:18 Is there any feature of Go that is suboptimal? 29:36 CPUs, GPUs and TPUs 33:18 Underestimating hardware and performance 35:04 Context window needs to scale to make AI useful for writing code 38:28 How does Natalie use AI in her workflow? 39:49 How much code does Natalie generate vs type out? 41:18 What makes it faster to generate code with ChatGPT instead of typing it out manually? 41:48 How does the feedback loop work with generating code through ChatGPT? 45:27 How does AI change the approach to training software developers today? 50:00 Memorizing syntax isn't be so important as much as understanding the interaction betweeen the systems 55:54 One more piece of advice regarding AI 56:47 Where to find Natalie