Subvolts take AI is becoming a true coding partner, capable of complex tasks and collaborative development. Sep 15, 2025 - Developers
- Learn how AI is evolving into a collaborative coding partner, capable of complex tasks and code review.
- Business
- Understand how AI advancements like GPT-5 Codex agents can transform software development cycles and efficiency.
This episode features OpenAI leadership discussing the significant evolution of their AI coding tools and future development.
The future of coding with AI - Episode 6
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
The OpenAI Podcast's sixth episode, "The future of coding with AI," features Greg Brockman and Thibault Sottiaux discussing Codex's evolution. They explore AI as a coding collaborator, agentic coding, code review advancements, and the future of software development. The conversation touches on GPT-5 Codex agents, multi-agent systems, and the outlook for coding in the AI era.
Imagine AI helping people write computer programs like a skilled assistant. This episode explains how AI tools are getting better at writing, fixing, and reviewing code, making software creation faster and more collaborative.
This episode offers insight into how AI is transforming software development, moving beyond simple code generation to complex collaborative tasks. It's for developers and tech leaders interested in the practical applications of advanced AI models like GPT-5 Codex. The discussion aligns with OpenAI's focus on agentic AI and building more capable AI systems, reflecting the broader industry trend towards AI-assisted creation and problem-solving.
- HostAndrew Mayne
- GuestGreg Brockmanco-founder, OpenAI
- GuestThibault SottiauxCodex engineering lead, OpenAI
- Episode Title: The future of coding with AI - Episode 6
- Show: The OpenAI Podcast
- Length: 51 minutes
- AI coding with GPT-3: Mentioned as the first sparks of AI coding.
- GPT-5 Codex agents: Discussed as capable of working for hours on complex refactorings.
- Agentic coding: A key topic discussed in the episode.
What happens when AI becomes a true coding collaborator? OpenAI co-founder Greg Brockman and Codex engineering lead Thibault Sottiaux talk about the evolution of Codex—from the first glimpses of AI writing code, to today’s GPT-5 Codex agents that can work for hours on complex refactorings. They discuss building “harnesses,” the rise of agentic coding, code review breakthroughs, and how AI may transform software development in the years ahead.
1:15 – The first sparks of AI coding with GPT-3
2:20 – Why coding became OpenAI’s deepest focus area
4:00 – What a “harness” is and why it matters for agents
5:30 – Lessons from GitHub Copilot and latency tradeoffs
8:20 – From terminal prototypes to agentic software engineers
19:30 – agents.md and the future of collaborative coding
22:55 – Refactoring, code review, and breakthrough use cases
29:45 – Launching GPT-5 Codex and the road to multi-agent systems
35:00 – Security and the 2030 outlook
43:00 – Compute scarcity
46:30 – Should you still learn to code in the AI era?
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- Codex
- Thibault Sottiaux
- An AI system that translates natural language into code.
- harnesses
- Greg Brockman
- Tools or frameworks that help AI agents perform tasks.
- agentic coding
- Thibault Sottiaux
- AI systems that can autonomously work on coding tasks.
- refactorings
- Greg Brockman
- Improving the internal structure of existing code without changing its external behavior.
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Questions people ask
- When did AI first start writing code?
- The episode mentions the first sparks of AI coding with GPT-3, discussed around the 1:15 mark.
- What is a 'harness' in the context of AI agents?
- A 'harness' is discussed as something important for AI agents, with more details provided around the 4:00 mark.
- Should people still learn to code with AI advancements?
- The episode addresses whether one should still learn to code in the AI era, with discussion starting at 46:30.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to OpenAI.