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How OpenAI Optimized AI Agents for Scale: Inference, API, and Harness Layers at 10M Users
Engineering Leadership Gregor·July 29, 2026
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Summary
Companion piece to ByteByteGo's technical deep-dive, based on interviews with the same OpenAI engineers, covering model tiering, load balancing, WebSocket migration, prompt caching, and OpenAI's internal 'data agent' that generates dashboards on demand from a Slack thread or screenshot instead of requiring a data engineer.
Why this signal
Overlaps significantly with the ByteByteGo piece on the same interviews (rated higher as the more comprehensive technical version) — still adds the internal data-agent tooling pattern, which is a concrete idea for how Thomas Engineering could reduce ad hoc dashboard requests.
Original email
Engineering Leadership Gregor · 7/29/2026
How OpenAI Optimized AI Agents For Scale