Drew
① 他说过的话
8 条
我们曾达到一周大约 850 个 PR 的峰值，其中 85-90% 完全由智能体处理。
指向原始笔记的链接
We hit a peak of something like 850 PRs in a week, and 85-90% of those were handled by agents entirely.
—— Drew · [00:00]
就像如果你把家里打理得井井有条，智能体就会给你超能力；如果你不负责任，它们会给你反超能力，对吧？
指向原始笔记的链接
Like if you’re keeping your house in order, agents give you superpowers. If you’re being irresponsible, they give you anti-superpowers, right?
—— Drew · [03:54]
于是你开始获得复利式的收益，你开始看到智能体让你的生产率以超过单纯线性的速度向上拐升。
指向原始笔记的链接
And so you start to get compounding gains, you start to see agents sort of inflecting your productivity upwards faster than just linear.
—— Drew · [05:57]
Tesla 的哲学是：你撞上这堵墙，是因为你跳过了——你试图不锻炼就练出大块肌肉，或者试图不吃蔬菜就变得健康。
指向原始笔记的链接
The Tesla philosophy is because you’re hitting this wall because you jumped past the, you know, you tried to get to the big muscles without working out, or you tried to uh get healthy without eating your vegetables.
—— Drew · [17:57]
而且实际上，这种特异性——能够精确调整你正在审查的内容——在你走向工厂的过程中变得越来越重要，因为说真的，工厂将要产出的量，你必须让人类退出代码审查的循环。
指向原始笔记的链接
And in fact, this specificity, you know, being able to tune exactly what you’re reviewing becomes increasingly important as you move towards factory because really the volume a factory is going to put out, you have to get humans out of the loop for code review.
—— Drew · [20:02]
你可以把它理解为一种方式：把你的技能转化成、或者说基于它们创建出非常聚焦、高准确率、非常快、非常便宜的「LM as judge」工具。
指向原始笔记的链接
You can think of it as a way of turning your skills into or creating off of them very focused, high accuracy, very fast, very cheap LM as judge tools
—— Drew · [29:03]
具体性基本上是所有质量的标尺。比如如果你能给智能体一个非常具体的任务，让它对要做什么有清晰的指示，那就会比一个泛泛的『这样去找代码坏味道』要好。
指向原始笔记的链接
Specificity basically is the ruler of all quality. Like if you can have a very specific task that the agent has clear instructions on what to do, it’s gonna be better than a generic here’s how to look for code smells.
—— Drew · [42:17]
可以这么说，你会不断地做循环，直到你有太多的循环，以至于你的大部分工作都在维护循环、以及构建用来观察它们的循环。
指向原始笔记的链接
It’s sort of, you’re going to keep working on loops until you have so many loops that most of your work is in maintaining loops and building loops to observe them.
—— Drew · [44:52]
② 出现在这些集
1 集
- 《从技能到循环再到工厂:软件工厂实战路线图》 — 作为联合主持
③ 他谈到的
点进去有真内容 —— 本页主要出口
Simon Maple · Guy Fajani · TESL · 技能 · 循环 · Factory · Tesla 智能体 · 代码审查 · 验证器 · 上下文