Tomer Tunguz 评 OpenAI Codex 从实习生晋升为高级工程师
Congratulations, Robot. You've Been Promoted!
OpenAI Dev Day 上 Codex 工程负责人 Thibault 宣布 Codex 已是高级工程师，从实习生到高级工程师约用了一年。92% 的技术员工每天使用 Codex，使用者比不使用 AI 的人多提交 72% 的 pull request。
作者借 OpenAI Dev Day 的数据拆解 architect-implementer 协作模式，读者可以借鉴这套与 Codex 分工的方法。
In short : OpenAI's Codex went from intern to senior engineer in 12 months. At 92% adoption & 72% more pull requests, the architect-implementer workflow proves AI has graduated beyond junior-level work.
Watching the OpenAI Dev Day videos, I listened as Thibault, engineering lead for Codex, announced “Codex is now a senior engineer.”
AI entered the organization as an intern - uncertain & inexperienced. Over the summer, engineering leaders said treat it like a junior engineer.
Congratulations, Robot. You’ve been promoted - again! From intern to senior engineer in about a year. Quite the trajectory.
Other data points :
- 92% of technical staff use Codex daily
- those staff generate 72% more pull requests (code submissions) than those who don’t use AI
The team shared more. The best design patterns for collaborating with Codex are architect-implementer systems & closed feedback loops.
ARCHITECT-IMPLEMENTER
I wrote about architect-implementer architectures on Monday. The pattern splits work between two separate robots : the first designs the solution, the second executes it.
Ask a robot to write the plan document. You’ll refine your thinking as you review it. The robot manages progress through each step.
The counterintuitive part? The second robot shouldn’t see the first robot’s context. Fresh discerning digital eyes catch more errors.
CLOSED FEEDBACK LOOPS
In the plan, designing the tests / hurdles that a robot must pass to complete the task is critical. The robot runs the tests, fixes the code, runs the tests again, and repeats until passing. These tests can be visual (evaluate screenshots), functional (does the code run), or logical (does the code meet the requirements). Then a third robot reviews for quality & style.
The record at OpenAI is 7 hours of autonomous execution, 150M tokens, and 15K lines of code refactored with this design pattern. Pretty remarkable even for a senior engineer.
Congratulations, Robot. Keep climbing that ladder.
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来源：Tomer Tunguz 博客（VC 分析） · tomtunguz.com