Practical AI

AI-generated code with OpenAI Codex

Nov 30, 2021

Natalie Pistunovich, a developer advocate at AeroSpike and an OpenAI ambassador, shares her insights on the revolutionary Codex model and GitHub Copilot. She discusses how AI tools like GPT-3 enhance coding workflows, making software development more efficient and collaborative. The conversation dives into the training challenges of AI, the importance of MLOps, and how Codex is transforming coding practices. They explore amusing anecdotes about automatic code generation and the future of AI in engineering teams.

46:37

Creator website

Episode guests

Natalie Pistunovich

AI Chapters

Episode notes

Intro

2min

Empowering Developers with AI

12min

Navigating AI Training and NLP Advances

4min

Exploring GitHub Copilot's Code Completion Features

2min

Harnessing Go and Codex for Efficient Coding

11min

Maximizing AI in Engineering Teams

13min

Exploring AI Innovations in Coding

2min

Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.

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Featuring:

Natalie Pistunovich – GitHub, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

Show Notes:

Something missing or broken? PRs welcome!

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