Thibault Sottiaux and Ed Bayes Discuss OpenAI and Codex

Thibault Sottiaux and Ed Bayes Discuss OpenAI and Codex

2 Min Read

AI coding agents are transforming the development, review, and maintenance of software. As large language model capabilities grow, the focus in software development is moving from code generation to planning, review, deployment, and coordination. This evolution is fostering a new category of agentic systems that function within limited environments, consider long-term implications, and integrate with tools like IDEs, version control systems, and issue trackers.

OpenAI is a leader in AI research and product innovation. In 2025, the company launched Codex, an agentic coding system designed to operate safely within sandboxed settings while integrating across the contemporary software development stack.

Thibault Sottiaux, the Codex engineering lead, and Ed Bayes, the Codex product designer, join Kevin Ball in this episode to discuss Codex’s construction, the collaborative growth of models and frameworks, future multi-agent systems, Codex’s open-source CLI, model specialization, latency and performance challenges, and more.

Kevin Ball, known as KBall, is the VP of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and was CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group via Latent Space.

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