AI coding brokers are quickly reshaping how software program is constructed, reviewed, and maintained. As massive language mannequin capabilities proceed to extend, the bottleneck in software program improvement is shifting away from code technology towards planning, evaluation, deployment, and coordination. This shift is driving a brand new class of agentic methods that function inside constrained environments, purpose over very long time horizons, and combine throughout instruments like IDEs, model management methods, and challenge trackers.
OpenAI is on the forefront of AI analysis and product improvement. In 2025, the corporate launched Codex, which is an agentic coding system designed to work safely inside sandboxed environments whereas collaborating throughout the fashionable software program improvement stack.
Thibault Sottiaux is the Codex engineering lead and Ed Bayes is the Codex product designer. On this episode, they be part of Kevin Ball to debate how Codex is constructed, the co-evolution of fashions and harnesses, multi-agent futures, Codex’s open-source CLI, mannequin specialization, latency and efficiency issues, and rather more.
Kevin Ball or KBall, is the vp of engineering at Mento and an impartial coach for engineers and engineering leaders. He co-founded and served as CTO for 2 corporations, based the San Diego JavaScript meetup, and organizes the AI inaction dialogue group by way of Latent Area.
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