AI coding agents are transforming software development by altering how software is created, reviewed, and maintained. As large language model capabilities grow, the focus in software development is shifting from code generation to planning, review, deployment, and coordination. This change is leading to the emergence of agentic systems that function in constrained environments, plan over extended periods, and integrate with tools like IDEs, version control, and issue trackers.
OpenAI is a leader in AI research and product innovation. In 2025, they launched Codex, an agentic coding system designed to operate securely in sandboxed environments while collaborating 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 co-evolution of models and harnesses, multi-agent futures, Codex’s open-source CLI, model specialization, latency and performance considerations, among other topics.
Kevin Ball, or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, started the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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