Ruby for All

How We Use ChatGPT

Sep 28, 2023

Hosts discuss their experiences and uses of ChatGPT, including writing performance reviews and explaining code. They explore the potential of AI in podcast creation and share experiments with AI personas. The hosts also discuss Co-Pilot, its uses in writing tests, and the Whisper from OpenAI. They delve into using ChatGPT for learning coding skills and explore AI-based terminals and Co-Pilot Labs. They highlight the benefits and limitations of using ChatGPT in coding education. Lastly, they discuss the experiences of using ChatGPT as a knowledgeable software engineer and mention tools like Writers Brew and Readwise for learning complex concepts.

31:11

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Quick takeaways

ChatGPT is a versatile tool that can assist with writing performance reviews and generating code snippets, improving code quality and suggesting structured tests.

The integration of AI tools like ChatGPT and Copilot into various industries is inevitable and can save time, enhance learning, and improve code quality.

Deep dives

Using ChatGPT for performance reviews and writing assistance

ChatGPT is a powerful tool that can assist in writing performance reviews. By providing it with writing samples and desired reading levels, it generates helpful and succinct reviews. It is also useful for generating code snippets, improving code quality, and suggesting structured tests. However, it is important to remember that ChatGPT is a tool and not a replacement for developers. Utilizing it as an educational tool or for proof of concept is beneficial, but understanding the code and maintaining it still requires human expertise.

Introduction

2min

Fascination with AI and Its Impact

5min

Using OpenAI language models, Co-Pilot, and Co-Pilot Labs for code suggestions and generation

5min

Using Chat GPT as an Educational Tool for Coding Skills

9min

Using ChatGPT, Honey Badger Sponsor, and Automating Chapter Notes

4min

Using ChatGPT: Learning complex concepts and task automation

7min

Welcome to Ruby for All Season 2! This was the last episode we recorded before the break that we wanted to share.

Today’s episode of Ruby for All is mix of personal experiences, tech discussions, and the ever-evolving world of artificial intelligence. Andrew and Julie dive deep into their utilization of ChatGPT, an artificial intelligence tool that assists with tasks such as writing performance reviews and explaining code functions, and they envision a future where the integration of AI into workflows becomes a standard. Andrew, a long-time AI enthusiast, brings up the topic of OpenAI’s Whisper, and the exciting possibility of creating AI-driven podcast episodes. They share their experiments with AI personas and how giving a ‘character’ to the AI can improve its output. Andrew and Julie also have a conversation sharing their different uses of ChatGPT. Join us as we continue exploring the fascinating world of Ruby and AI. Hit download to hear more!

[00:01:18] Julie and Andrew discuss their uses of ChatGPT. Julie uses it for writing performance reviews, while Andrew is a heavy user of the tool and its API.

[00:04:00] Andrew mentions the Whisper from OpenAI and the possibility of using it to recreate podcasts episodes purely from AI, using the hosts’ past audio data.

[00:05:37] Andrew asks Julie about her experience with Copilot, he tells us what it does, and he finds it most helpful for writing tests.

[00:09:23] We hear about the use of “brushes” in Copilot labs, a GitHub project. Brushes can explain code, translate it into other languages, generate tests, and more. He also tells us about how he uses Warp.

[00:11:19] Julie and Andrew agree that ChatGPT and Copilot are useful for learning and improving code, especially for those early in their careers. However, the AI can sometimes provide inaccurate information.

[00:14:42] Andrew thinks using the AI to teach oneself how to code could be effective but cautions against relying solely on copy-pasting generated code.

[00:16:07] Julie wonders if ChatGPT or AI is going to replace tech jobs, and Andrew doesn’t believe it will. He does mention new professions like “prompt engineering” have emerged with the arrival of AI, with high earning standards.

[00:17:58] We hear the difference between few-shot prompting and one-shot prompting in ChatGPT. Julie has experimented with asking ChatGPT to act a knowledgeable senior software engineer, and Andrew mentions the new “browsing mode” in GPT-4.

[00:22:19] Andrew uses the AI for making chapter notes for the podcast, saving him a lot of time.

[00:24:10] Julie uses AI to help her understand complex concepts like Redux, Sagas, and React. Andrew tells us about an app he uses called Writers Brew, which has a feature to convert summaries into bullet points, and Reader from Readwise, to analyze and summarize articles, generate flashcards, and thought-provoking questions.

[00:26:11] Andrew goes through some recent questions he’s asked ChatGPT recently including explaining complex code functions, creating CSS selectors, and creating titles for code snippets.

[00:27:38] Julie shares a shortcut she uses that Andrew wasn’t aware of, she asks ChatGPT to explain code an follows up with clarifying questions, and she uses it to develop SMART goals for advancing at work.

[00:28:31] Andrew notes that ChatGPT is from OpenAI and utilizes the GPT-4 or GPT-3.5. language models, there’s also Google Bard, and other language models such as, Hugging Face and AI Playground that you can explore.

Panelists:

Andrew Mason

Julie J.

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