Uploaded May 2024 | Updated September 2026, 54 minutes ago
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: twitter.com/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
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: twitter.com/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
