编码

编码智能体 (coding agents)

概念 · 又名 coding agents / coding agent
本站收录 35 集 · 25 条金句 · 关联 10 个

集里怎么说它

① 提到它的金句

25 条

代码智能体非常善变、不可预测,它们经常犯错,然后当你真的很倒霉时,它们会发疯并试图销毁你的数据以及其余的一切。
Coding agents are really fickle, unpredictable, they often make mistakes, and then when you’re really unlucky, they’ll go crazy and try and nuke your data and all the rest of it.
—— 嘉宾 · [17:00]

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但这需要高水平品味的人类,就像世界上大概只有三个人,并且在四周内花费大约十万美元在这些编码智能体上,才能得到一个速度快 60 倍的解决方案。
But it requires the high-taste human, like there’s maybe three people in the world, and spend about $100,000 on these coding agents over a span of four weeks to get to a solution that’s 60x faster.
—— 嘉宾 · [41:10]

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再多的编码智能体也不会让 Nike 变成不是 Nike。
No amount of coding agents is going to make Nike not Nike.
—— Anish Acharya · [06:31]

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每个人都能使用编程智能体,而我们实际上在 API 优先的方式上加倍投入。
Everybody has access to coding agents, and we actually doubled down on that API-first approach.
—— Nachiket Paranjape · [09:19]

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所有企业端编程智能体的情况——想想 Cognition 或 Cursor 或 OpenAI 和 Anthropic 自己——是他们开始采用更多承诺消费结构,就像云服务商们过去 10 年所做的那样。
What’s happening with all the coding agents in the enterprise, think like Cognition or Cursor or OpenAI and Anthropic themselves, is that they are starting to adopt more commit structures like the CSPs have done for the past 10 years.
—— Andrew Garvin · [12:23]

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我喜欢这个问题,因为它是可验证的。这使得这个问题容易得多。这就是为什么编码智能体在许多方面容易得多。
I love this problem because it’s verifiable. And that makes the problem a lot easier. This is why coding agents are, in a lot of ways, a lot easier.
—— Ben Rudolph · [31:36]

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很容易说大多数人不想写代码,但我想法上的大转变是,编程智能体其实是一种与世界互动的通用方式。
I think it’s easy to say most people don’t want to make code, but the big change in my thinking is that coding agents are a way to interact with the world generally.
—— Anish Acharya · [51:57]

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我们用编程智能体大概两到三周就把它发布出来了,而且我们本可以更快。
We were able to ship this in like two to three weeks with coding agents, and we probably could have gone faster.
—— Jonathan Kelley · [11:03]

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关于使用编码智能体构建有雄心的软件,我的结语是:代码现在很廉价,但质量不是。
So my closing thoughts on using coding agents to build ambitious software is that code is now cheap, but quality is not.
—— Jonathan Kelley · [18:07]

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然后编码智能体和语音智能体来了,现在他们在给定的一天或一个月内生成的代码比以前多了几个数量级。
Then came coding agents and voice agents, and now they generate orders of magnitude more code than they previously did on a given day or month.
—— Charlie Guo · [09:30]

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人们思考应用的方式已经非常不同了,尤其是随着现在编码智能体加入进来,地球上突然每个人都是软件开发者了。
The way people are thinking about applications is very different, like especially with the rise of now coding agents coming in the mix, everyone suddenly is a software developer on the planet.
—— Samar Abbas · [01:47]

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而令人非常惊讶、表现突出的一点是,编程智能体可以一次性完成这件事。它们不需要额外的机器人数据就能用这些代码工作,因为它们已经在如此多的代码数据上训练过了。
And what was very surprising, what excelled was that coding agents can do this very one-shot. They did not need additional robot data in order to work with this code because they’re already trained on so much coding data.
—— Ham · [10:11]

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而且我可以用真正的编程智能体取代整个机器人学领域。
And I can displace all of robotics with actual coding agents.
—— Francois · [09:04]

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过去几年最大的惊喜之一,是编码智能体在不同领域之间的通用性。
One of the big surprises the last few years has been the generalizability of coding agents across different domains.
—— Han Mei · [00:00]

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软件工厂不只是一个编码智能体,甚至不是一群编码智能体,哪怕上千个也不算——因为生成代码、写代码,相比其他所有环节,是容易的部分。
Software Factory is not just coding agent, and it’s not even a swarm of coding agents, even thousands of agents, because generating code, writing code, that’s the easy part compared to all the others.
—— Tereza Tížková · [02:59]

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甚至在 Jev 之前,我都从没意识到:不管你用多少 AI 编码智能体,软件实际上并没有变得更好。也许你写得更快了。甚至可以说它在变得更糟,因为监督更少了。
And even before Jeff, it didn’t even occur to me that it doesn’t matter how much AI coding agents you use, the software actually isn’t getting better. Maybe you’re writing it faster. It’s arguably getting worse just because there’s less oversight.
—— Martin Casado · [34:25]

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OpenClaw 的创造者 Peter Steinberger 说,你不应该再去提示编码智能体了,你应该去设计那些提示你的智能体的循环。
Peter Steinberger, who is the creator of OpenClaw, says that you shouldn’t be prompting coding agents anymore, you should be designing the loops that prompt your agents.
—— Laurie Voss · [04:53]

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我们的工作不是阻止开发者使用编码智能体,而是确保他们可以随心所欲、尽其所愿地使用它,完全不受限制。
Our job is not to prevent the developer to use Coding Agent. Our job is to make sure they can use it as much as they want for as long as they want in a completely unlimited fashion.
—— Laurent · [02:17]

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你觉得我们会作为人类盯着这个看吗?绝对不会。但一个自主的框架、一个痴迷于 token 成本的自动化编码智能体,就会做到这一点。
Do you think we look at this as human? Absolutely not. But an autonomous harness, an automated coding agent that is obsessed with token costs is going to do just that.
—— Laurent · [06:46]

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代码编写智能体其实并不需要你在搜索 Google 时看到的那 10 条蓝色链接。
Coding agents don’t really need these 10 blue links that you see when you search Google.
—— Jakub Hojsan · [00:29]

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几乎是一夜之间,实际上已经没有人再手工集成 Stripe API 了。他们把编码智能体派去干这件事。
Overnight, relatively overnight, no one actually really integrates the Stripe API by hand anymore. They send their coding agent to do it.
—— John Collison · [10:25]

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他说,我们新的编码智能体能力默认都会流向「做错误的事情」。产品从好变坏的速度比以往任何时候都快。
He says that the default place for our new coding agent abilities to go to is work on the wrong things. Products go from good to bad faster than ever.
—— Kent C. Dodds · [18:41]

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我们看到很多智能体在写代码,即使它们不是编码智能体。
And we see a lot of agents writing code, even if they’re not coding agents.
—— 嘉宾 · [12:10]

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我是说,如果你用编码智能体写代码,很多情况下,你甚至不知道里面有什么。
I mean, if you write your code with a coding agent, in many cases, you don’t even know what’s inside it.
—— Alon Schindel · [32:21]

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创造软件的成本降低了,因此需求大幅增加,但这是针对一种非常特定的需求——能够高效管理编码智能体、而不是产出一大堆垃圾的人。
The sort of cost of software, creating software has gone down, therefore the demand has increased a lot, but for a very specific kind of demand for people who can manage coding agents productively instead of producing a whole bunch of slop.
—— Sean Wang · [48:55]

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