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Ken Huang maps OpenAI's 'Codex as a platform' post to a harness-engineering discipline, reading 100+ Rust crates to do it
OpenAI published 'Codex as a platform: build on the open agent harness' on August 19, arguing the reusable asset inside Codex is not the chat surface but the harness that gathers context, invokes tools, enforces sandbox and approval boundaries, and carries state across multi-turn sessions. Huang's August 21 analysis treats this as a frontier lab admitting agent building is its own engineering discipline, and works through the openai/codex repo (100+ crates, tens of thousands of lines of Rust) to extract concrete architectural patterns. His argument is that classical software assumptions break when the model picks branch paths at runtime, so the job becomes bounding, observing and governing an unpredictable runtime.
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