正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Ex-OpenAI Researcher Jerry Tworek: Coding agents are the next level of abstraction in programming — a new language with different semantics "soon, almost no one will type code directly" The focus will shift to ensuring software reliability when humans are neither writing nor reading it

Haider.

61,876 subscribers

12,656 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Software engineers are going to love this. Input code in any language and GPT-4 will translate it to any other coding language. & It's free with your OpenAI key👇

Software engineers are going to love this. Input code in any language and GPT-4 will translate it to any other coding language. & It's free with your OpenAI key👇

Rowan Cheung

1,141,650 次观看 • 3 年前

Anthropic Boris Cherny says the role of programmers is shifting from writing code to orchestrating agents "it's more about reviewing code than writing code" complex tasks still require manual coding, but those windows are shrinking. eventually, managing agents will become the core of programming

Anthropic Boris Cherny says the role of programmers is shifting from writing code to orchestrating agents "it's more about reviewing code than writing code" complex tasks still require manual coding, but those windows are shrinking. eventually, managing agents will become the core of programming

Haider.

137,886 次观看 • 1 年前

🚨 OpenAI CEO Sam Altman confirms that Level-3 Agents are coming soon " The shift to level 2 took time, but it accelerates the development of level 3. This will enable impactful agent-based experiences that will greatly impact technology advancements in technology "

🚨 OpenAI CEO Sam Altman confirms that Level-3 Agents are coming soon " The shift to level 2 took time, but it accelerates the development of level 3. This will enable impactful agent-based experiences that will greatly impact technology advancements in technology "

Haider.

614,721 次观看 • 1 年前

Dynamic Software Interfaces Ankit Gupta Before AI, every user of a piece of software got the same interface. Coding agents are now good enough to let users become their own forward-deployed engineers. We think software companies will soon ship shared primitives with the full expectation that users will radically customize the final product themselves.

Dynamic Software Interfaces Ankit Gupta Before AI, every user of a piece of software got the same interface. Coding agents are now good enough to let users become their own forward-deployed engineers. We think software companies will soon ship shared primitives with the full expectation that users will radically customize the final product themselves.

Y Combinator

162,175 次观看 • 3 个月前

Anthropic's Boris Cherny says coding is moving to a higher level of abstraction A year ago, the workflow was writing code in an IDE, then prompting multiple Claude instances in parallel. Now, it is writing loops that prompt Claude and figure out what to do "the next transition is coming this year"

Anthropic's Boris Cherny says coding is moving to a higher level of abstraction A year ago, the workflow was writing code in an IDE, then prompting multiple Claude instances in parallel. Now, it is writing loops that prompt Claude and figure out what to do "the next transition is coming this year"

Haider.

526,552 次观看 • 1 个月前

Cursor CEO Michael Truell on the future of writing code: "Our goal with Cursor is to invent a new type of programming." "It looks like a world where you have a representation of the logic of your software that does look more like English." "You can imagine kind of an evolution of programming language towards pseudocode. You have written down the logic of the software, and you can edit that at a high level." "It won't be the impenetrable millions of lines of code, it'll instead be something that's much terser and easier to understand and easier to navigate." Michael Truell with Lenny Rachitsky on Lenny's Podcast

Cursor CEO Michael Truell on the future of writing code: "Our goal with Cursor is to invent a new type of programming." "It looks like a world where you have a representation of the logic of your software that does look more like English." "You can imagine kind of an evolution of programming language towards pseudocode. You have written down the logic of the software, and you can edit that at a high level." "It won't be the impenetrable millions of lines of code, it'll instead be something that's much terser and easier to understand and easier to navigate." Michael Truell with Lenny Rachitsky on Lenny's Podcast

a16z

1,014,854 次观看 • 1 个月前

Cursor CEO Michael Truell on the future of writing code: “ Our goal with Cursor is to invent a new type of programming.” “It looks like a world where you have a representation of the logic of your software that does look more like English.” “You can imagine kind of an evolution of programming language towards pseudocode. You have written down the logic of the software, and you can edit that at a high level.” “It won't be the impenetrable millions of lines of code, it'll instead be something that's much terser and easier to understand and easier to navigate.” Source: Michael Truell (CEO Cursor) with Lenny Rachitsky on Lenny's Podcast

Cursor CEO Michael Truell on the future of writing code: “ Our goal with Cursor is to invent a new type of programming.” “It looks like a world where you have a representation of the logic of your software that does look more like English.” “You can imagine kind of an evolution of programming language towards pseudocode. You have written down the logic of the software, and you can edit that at a high level.” “It won't be the impenetrable millions of lines of code, it'll instead be something that's much terser and easier to understand and easier to navigate.” Source: Michael Truell (CEO Cursor) with Lenny Rachitsky on Lenny's Podcast

a16z

812,698 次观看 • 8 个月前

The CTO of a $1.5B agent-native software company says we're moving towards a world where the entire team builds the product engineering system that powers your product instead of directly working on the product. They will modify the agents and the constitution of the agents to help them prioritize tasks per Eno Reyes. They will also modify the review system so that it reviews more accurately. It will be akin to a dark factory where the lights are off because it's all robots with no humans inside. In that world, there will be way more things for humans to be involved in because the debates around prioritization/product will be harder and require stronger judgment.

The CTO of a $1.5B agent-native software company says we're moving towards a world where the entire team builds the product engineering system that powers your product instead of directly working on the product. They will modify the agents and the constitution of the agents to help them prioritize tasks per Eno Reyes. They will also modify the review system so that it reviews more accurately. It will be akin to a dark factory where the lights are off because it's all robots with no humans inside. In that world, there will be way more things for humans to be involved in because the debates around prioritization/product will be harder and require stronger judgment.

Ivan Burazin

64,497 次观看 • 3 个月前

OpenAI Greg Brockman says we're about 80% of the way to AGI Today's models are already stronger than him at writing software, and with the right context, they can outperform most humans — even on low-level tasks like writing kernels "the last 20% is being human at a keyboard"

OpenAI Greg Brockman says we're about 80% of the way to AGI Today's models are already stronger than him at writing software, and with the right context, they can outperform most humans — even on low-level tasks like writing kernels "the last 20% is being human at a keyboard"

Haider.

28,277 次观看 • 2 个月前

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.

Extraordinary

19,241 次观看 • 4 个月前

How will AI change writing? For clues, look at the current state of software development. Marc Andreessen says: "The new coding interface is you've got your code and a chatbot. The Copilot is reading your code and giving you real-time comments. Or the chatbot is actually writing the code for you, and then you're giving it feedback. We had this old concept in the old days called pair programming, where you'd put two coders together in front of the same keyboard, and they could talk to each other and write code together. But now you're just going to have pair programming happening much more broadly, which is human plus machine. And by the way, this hasn't happened yet, but I think the same thing will happen for every other form of writing. So I think prose writing and fiction writing and all kinds of professional authors will be working in this format where you'll have this continuous dialogue going with an AI while you're in charge of the overall product." — Marc Andreessen 🇺🇸 (Recorded in 2024)

How will AI change writing? For clues, look at the current state of software development. Marc Andreessen says: "The new coding interface is you've got your code and a chatbot. The Copilot is reading your code and giving you real-time comments. Or the chatbot is actually writing the code for you, and then you're giving it feedback. We had this old concept in the old days called pair programming, where you'd put two coders together in front of the same keyboard, and they could talk to each other and write code together. But now you're just going to have pair programming happening much more broadly, which is human plus machine. And by the way, this hasn't happened yet, but I think the same thing will happen for every other form of writing. So I think prose writing and fiction writing and all kinds of professional authors will be working in this format where you'll have this continuous dialogue going with an AI while you're in charge of the overall product." — Marc Andreessen 🇺🇸 (Recorded in 2024)

David Perell Clips

13,101 次观看 • 3 个月前

Many software products are adding AI copilots, mostly assistants that can find answers, take actions, etc. But just like how coding is moving to autonomous agents, a similar shift will happen in-product. We've pioneered the use of long-running agents via Decagon Duet. [1/4]👇

Many software products are adding AI copilots, mostly assistants that can find answers, take actions, etc. But just like how coding is moving to autonomous agents, a similar shift will happen in-product. We've pioneered the use of long-running agents via Decagon Duet. [1/4]👇

Jesse Zhang

10,358 次观看 • 3 个月前

Introducing Claude Engineer 2.0, with agents! 🚀 Biggest update yet with the addition of a code editor and code execution agents, and dynamic editing. When editing files (especially large ones), Engineer will direct a coding agent, and the agent will provide changes in batches. Batches are smartly selected based on file complexity. The code execution agent will run the code and check for issues. It can even start processes (like live servers) and end them. It's insanely powerful! 🔥

Introducing Claude Engineer 2.0, with agents! 🚀 Biggest update yet with the addition of a code editor and code execution agents, and dynamic editing. When editing files (especially large ones), Engineer will direct a coding agent, and the agent will provide changes in batches. Batches are smartly selected based on file complexity. The code execution agent will run the code and check for issues. It can even start processes (like live servers) and end them. It's insanely powerful! 🔥

Pietro Schirano

393,470 次观看 • 2 年前

The new Factory software AI agents just combined OpenAI’s Codex, Devin, and Cursor into one product. They are fully autonomous agents called Droids that perform deep code research, technical docs, and do autonomous end-to-end coding. Here’s how it works (with real examples)👇:

The new Factory software AI agents just combined OpenAI’s Codex, Devin, and Cursor into one product. They are fully autonomous agents called Droids that perform deep code research, technical docs, and do autonomous end-to-end coding. Here’s how it works (with real examples)👇:

Alvaro Cintas

94,866 次观看 • 1 年前

I am pleased to see the passage of the Second Reading of the Terminally Ill Bill today, which will enable in-depth committee analysis and consideration. This process will address key concerns, ensuring we are well-informed when casting the final vote next year.

I am pleased to see the passage of the Second Reading of the Terminally Ill Bill today, which will enable in-depth committee analysis and consideration. This process will address key concerns, ensuring we are well-informed when casting the final vote next year.

Richard Tice MP 🇬🇧

46,579 次观看 • 1 年前

🚨 OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it Every 📧 for a few days, and I’m impressed. I invited Alexander Embiricos (ben davies), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I: What Codex is and how it works Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel. Codex is built to have "taste" OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code. Why an “abundance mindset” is best for interacting with agents Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds. How OpenAI is thinking about agents Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. OpenAI’s vision for the future of programming In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding. Watch below!

Dan Shipper 📧

145,487 次观看 • 1 年前

Sam Altman says soon everyone will be a software engineer and he might be right Sam Altman just casually dropped one of the biggest takes about the future of work and software and people are still sleeping on it. Here’s the core idea, and it’s honestly wild: Natural language is the new syntax You won’t write code. You’ll describe what you want in plain English. Talking to computers becomes the default programming interface. The end of the “army of developers” No product managers writing specs. No giant dev teams for v1. You describe the app and the AI builds it. The overnight app You explain your idea, go to sleep, and the AI spends the night writing, testing, and wiring everything together. You wake up and the product exists. Coffee optional but recommended ☕ Autonomous software agents For complex systems, AI agents live inside the codebase itself. They crawl the repo, fix bugs, write tests, refactor code, and commit changes on their own. A digital workforce that never sleeps Not copilots. Not autocomplete. Actual agents doing ongoing engineering work without supervision. Beyond coding: total company automation Once software is automated, the same logic applies to operations, planning, and even parts of management. Code is just the first domino. If this plays out, “learning to code” becomes less important than learning to think clearly, describe intent, and spot good ideas. Question for you 👀 If everyone can build software, what actually becomes scarce: ideas, taste, or execution?

Sam Altman says soon everyone will be a software engineer and he might be right Sam Altman just casually dropped one of the biggest takes about the future of work and software and people are still sleeping on it. Here’s the core idea, and it’s honestly wild: Natural language is the new syntax You won’t write code. You’ll describe what you want in plain English. Talking to computers becomes the default programming interface. The end of the “army of developers” No product managers writing specs. No giant dev teams for v1. You describe the app and the AI builds it. The overnight app You explain your idea, go to sleep, and the AI spends the night writing, testing, and wiring everything together. You wake up and the product exists. Coffee optional but recommended ☕ Autonomous software agents For complex systems, AI agents live inside the codebase itself. They crawl the repo, fix bugs, write tests, refactor code, and commit changes on their own. A digital workforce that never sleeps Not copilots. Not autocomplete. Actual agents doing ongoing engineering work without supervision. Beyond coding: total company automation Once software is automated, the same logic applies to operations, planning, and even parts of management. Code is just the first domino. If this plays out, “learning to code” becomes less important than learning to think clearly, describe intent, and spot good ideas. Question for you 👀 If everyone can build software, what actually becomes scarce: ideas, taste, or execution?

VraserX e/acc

70,655 次观看 • 6 个月前

A masterclass from Jeremy Howard on why AI coding tools can be a trap -- and what 45 years of programming taught him that most vibe coders will never learn. - AI coding tools exploit gambling psychology - The difference between typing code and software engineering - Enterprise coding AND prompt-only vibe coding are "inhumane" i.e. disconnecting humans from understanding-building - AI tools remove the "desirable difficulty" you need to build deep mental models. Out on MLST now!

A masterclass from Jeremy Howard on why AI coding tools can be a trap -- and what 45 years of programming taught him that most vibe coders will never learn. - AI coding tools exploit gambling psychology - The difference between typing code and software engineering - Enterprise coding AND prompt-only vibe coding are "inhumane" i.e. disconnecting humans from understanding-building - AI tools remove the "desirable difficulty" you need to build deep mental models. Out on MLST now!

Machine Learning Street Talk

169,851 次观看 • 4 个月前

Last week I sat down with Ankit and did a brain dump. 1. A software factory is essentially a CNC machine or a woodworking shop. Without training, many people will cut off their hands. 2. Building a true “dark factory” as fully automated software production with no humans in the loop means solving autonomous verification first 3. Code review was mostly broken even before AI happened. 4. Agent maintainability is replacing human maintainability as the real measure of code quality 5. Nobody Knows What Engineering Orgs Will Look Like 6. Programming Languages Will Converge, and the Next One Won't Be for Humans 7. The Craft Is More Important Than Ever

Last week I sat down with Ankit and did a brain dump. 1. A software factory is essentially a CNC machine or a woodworking shop. Without training, many people will cut off their hands. 2. Building a true “dark factory” as fully automated software production with no humans in the loop means solving autonomous verification first 3. Code review was mostly broken even before AI happened. 4. Agent maintainability is replacing human maintainability as the real measure of code quality 5. Nobody Knows What Engineering Orgs Will Look Like 6. Programming Languages Will Converge, and the Next One Won't Be for Humans 7. The Craft Is More Important Than Ever

geoff

12,938 次观看 • 1 个月前