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Cognition CEO Scott Wu says a quarter of Cognition's pull requests come from Devin -- and it'll be more than half by year-end. Each engineer runs up to five Devins at once. “Devin lets engineers go from bricklayer to architect.” The future of software isn't writing code -- it’s...

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vitrupo

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14,898 просмотров • 1 год назад •via X (Twitter)

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Фото профиля vitrupo
vitrupo1 год назад

Cognition CEO Scott Wu on Lenny's Podcast:

Фото профиля SecBriefs | Making Cybersecurity Simple
SecBriefs | Making Cybersecurity Simple1 год назад

Quantum computers can break today’s encryption in seconds.🔑 Quantum tech will reshape our digital lives. Governments & hackers are preparing for the quantum era. How about you?🛡️ Don’t get left behind!🧠 Cybersecurity Dictionary for Everyone can help:

Фото профиля Mr C.O.D 🦅💰
Mr C.O.D 🦅💰1 год назад

@MirraTerminal

Фото профиля 𝓨𝓸𝓾𝓼𝓮𝓯
𝓨𝓸𝓾𝓼𝓮𝓯1 год назад

@grok ترجم ما في الفيديو الى العربية

Фото профиля 5chStereo
5chStereo1 год назад

oh please! it’s can’t even do Sidebar layout properly.

Фото профиля Zeeshan
Zeeshan1 год назад

Couldn’t disagree more. Some of our mid level engineers who produce the best work on their own will be terrified if they’re asked to do this.

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New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:
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New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:

Lenny Rachitsky

251,809 просмотров • 1 год назад

Mark Zuckerberg says half of Llama's development will soon be done by AI, not people. Satya Nadella says we'll need to reimagine the infrastructure AI agents use -- from sandboxes to repos. The remaining human engineers? “They'll be more like tech leads with their own little army of agents.”
1:47

Mark Zuckerberg says half of Llama's development will soon be done by AI, not people. Satya Nadella says we'll need to reimagine the infrastructure AI agents use -- from sandboxes to repos. The remaining human engineers? “They'll be more like tech leads with their own little army of agents.”

vitrupo

73,652 просмотров • 1 год назад

BREAKING: Devin now writes ~95% of Devin's code Scott Wu (Scott Wu), CEO of Cognition says the abundance era of AI is real & coming soon.. FULL INTERVIEW Cog Stats: › $2.5B raised, $26B valuation › $500M+ run rate, up from $37M LY › Customer usage is up 11x-12x in 6 months › Total code shipped inside Cognition has grown 7x › Devin writes ~95% of Cog's code, up from 89% at May Series D › The entire Windsurf acquisition was negotiated over 1 weekend, ~40 people buying a 200 person company with $82M of ARR › Goldman Sachs, Mercedes-Benz, Citi, Dell, Santander, NASA, the US Navy & the US Army all run Devin R I P : "The tokenmaxx era lasted from January to May of 2026, roughly." "I'm excited to have AI that allows me to spend all of my time & focus on the things that I care about & take care of the rest. I think the abundance era is real, & I think we'll be there pretty soon." Recorded 7 July 2026. On 23 July 2026 Cognition acquired Poke maker The Interaction Company 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Scott Wu, Co-Founder & CEO at Cognition (01:00) The Identity crisis of building Devin (01:42) How Cognition 7X-ed its output in 6 months (02:55) The Metric every AI company gets wrong (04:18) Cognition's 12x growth curve (07:46) The Windsurf acquisition (13:26) Scaling overnight: Cognition's hardest week (15:11) The strategy behind the integration of Cognition products (17:23) Cognition's M&A playbook (20:01) Why the DMV is Cognition's next big target (22:59) Why Cognition bet against AI centralization (25:09) Why enterprises refuse to bet on a single AI lab (28:32) Scott's honest take on Superintelligence (32:36) Is Silicon Valley losing its mind over the AI gold rush? (33:26) Devin's origin story (37:17) The question Scott thinks nobody's asking yet (39:59) Poker with Peter Thiel & Napoleon ? (41:24) Scott's vision for the next year
43:24

BREAKING: Devin now writes ~95% of Devin's code Scott Wu (Scott Wu), CEO of Cognition says the abundance era of AI is real & coming soon.. FULL INTERVIEW Cog Stats: › $2.5B raised, $26B valuation › $500M+ run rate, up from $37M LY › Customer usage is up 11x-12x in 6 months › Total code shipped inside Cognition has grown 7x › Devin writes ~95% of Cog's code, up from 89% at May Series D › The entire Windsurf acquisition was negotiated over 1 weekend, ~40 people buying a 200 person company with $82M of ARR › Goldman Sachs, Mercedes-Benz, Citi, Dell, Santander, NASA, the US Navy & the US Army all run Devin R I P : "The tokenmaxx era lasted from January to May of 2026, roughly." "I'm excited to have AI that allows me to spend all of my time & focus on the things that I care about & take care of the rest. I think the abundance era is real, & I think we'll be there pretty soon." Recorded 7 July 2026. On 23 July 2026 Cognition acquired Poke maker The Interaction Company 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Scott Wu, Co-Founder & CEO at Cognition (01:00) The Identity crisis of building Devin (01:42) How Cognition 7X-ed its output in 6 months (02:55) The Metric every AI company gets wrong (04:18) Cognition's 12x growth curve (07:46) The Windsurf acquisition (13:26) Scaling overnight: Cognition's hardest week (15:11) The strategy behind the integration of Cognition products (17:23) Cognition's M&A playbook (20:01) Why the DMV is Cognition's next big target (22:59) Why Cognition bet against AI centralization (25:09) Why enterprises refuse to bet on a single AI lab (28:32) Scott's honest take on Superintelligence (32:36) Is Silicon Valley losing its mind over the AI gold rush? (33:26) Devin's origin story (37:17) The question Scott thinks nobody's asking yet (39:59) Poker with Peter Thiel & Napoleon ? (41:24) Scott's vision for the next year

Molly O’Shea

671,821 просмотров • 17 дней назад

“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.
2:29

“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.

Jon Hernandez

16,681 просмотров • 3 месяцев назад

AI has changed software engineering more in the last 3 years than it has changed in the previous 30. What’s needed is not a debate about whether it’s going away—instead it’s a serious discussion about its future: What are the new primitives, techniques, and best practices for software engineering in the age of AI. That’s why I brought Scott Wu (Scott Wu) on AI & I. He’s the founder of Cognition, the company behind the world’s first autonomous AI coding agent, Devin. Cognition got to $73M ARR in less than 2 years—and they just acquired Windsurf to accelerate their growth. I had Scott on the show to talk about where the programming goes from here. We get into: - What the new tools and workflows are for AI engineers. In the near term, Scott sees software engineering defined by a spectrum of tools. At one end are AI features that speed up coding, like tab complete; at the other are agentic systems, like Devin, that can take on tasks independently. Until engineers can operate entirely at the higher layer of abstraction, he argues, both are essential. - Why Scott thinks AGI is already here. By the benchmarks of a decade ago—passing the Turing test, solving hard math problems, and operating agentically—AGI is already here. The line keeps moving, he argues, because humans constantly redefine work around what machines can’t yet do. - Why developers will turn into product architects. Scott sees the long-term future of software engineering as a steady climb up the ladder of abstraction. Just as programming went from assembly to languages like Python and JavaScript, he thinks the future is humans focusing on the product, while AI agents execute. - How Devin stacks up against Anthropic’s Claude Code. Scott credits Claude Code’s success to great product design and the models becoming capable enough to support autonomous workflows. But according to him, the CLI itself isn’t the breakthrough, it’s how a tool fits into a developer’s workflow. Claude Code’s paradigm is that the AI is you, taking the wheel of your computer, he says, while Devin is like the engineer sitting beside you: it runs in its own cloud environment, manages the repo, and improves over time at testing and refining code. This episode of Every 📧’s AI & I is a must-watch for anyone interested in the brass tacks of how AI changes the future of programming. Watch below! Timestamps: Introduction: 00:02:02 Why Scott thinks AGI is here: 00:02:32 Scott’s personal journey as a founder: 00:09:27 Why the fundamentals of computer science still matter: 00:16:55 How the future of programming will evolve: 00:22:30 A new workflow for the AI-first software engineer: 00:26:50 How Devin stacks up against Claude Code: 00:29:33 Reinforcement learning to build better coding agents: 00:40:05 What excites Scott about AI beyond Cognition: 00:50:05
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AI has changed software engineering more in the last 3 years than it has changed in the previous 30. What’s needed is not a debate about whether it’s going away—instead it’s a serious discussion about its future: What are the new primitives, techniques, and best practices for software engineering in the age of AI. That’s why I brought Scott Wu (Scott Wu) on AI & I. He’s the founder of Cognition, the company behind the world’s first autonomous AI coding agent, Devin. Cognition got to $73M ARR in less than 2 years—and they just acquired Windsurf to accelerate their growth. I had Scott on the show to talk about where the programming goes from here. We get into: - What the new tools and workflows are for AI engineers. In the near term, Scott sees software engineering defined by a spectrum of tools. At one end are AI features that speed up coding, like tab complete; at the other are agentic systems, like Devin, that can take on tasks independently. Until engineers can operate entirely at the higher layer of abstraction, he argues, both are essential. - Why Scott thinks AGI is already here. By the benchmarks of a decade ago—passing the Turing test, solving hard math problems, and operating agentically—AGI is already here. The line keeps moving, he argues, because humans constantly redefine work around what machines can’t yet do. - Why developers will turn into product architects. Scott sees the long-term future of software engineering as a steady climb up the ladder of abstraction. Just as programming went from assembly to languages like Python and JavaScript, he thinks the future is humans focusing on the product, while AI agents execute. - How Devin stacks up against Anthropic’s Claude Code. Scott credits Claude Code’s success to great product design and the models becoming capable enough to support autonomous workflows. But according to him, the CLI itself isn’t the breakthrough, it’s how a tool fits into a developer’s workflow. Claude Code’s paradigm is that the AI is you, taking the wheel of your computer, he says, while Devin is like the engineer sitting beside you: it runs in its own cloud environment, manages the repo, and improves over time at testing and refining code. This episode of Every 📧’s AI & I is a must-watch for anyone interested in the brass tacks of how AI changes the future of programming. Watch below! Timestamps: Introduction: 00:02:02 Why Scott thinks AGI is here: 00:02:32 Scott’s personal journey as a founder: 00:09:27 Why the fundamentals of computer science still matter: 00:16:55 How the future of programming will evolve: 00:22:30 A new workflow for the AI-first software engineer: 00:26:50 How Devin stacks up against Claude Code: 00:29:33 Reinforcement learning to build better coding agents: 00:40:05 What excites Scott about AI beyond Cognition: 00:50:05

Dan Shipper 📧

35,342 просмотров • 10 месяцев назад

Cognition’s Scott Wu: “If anything, there’s going to be a lot more software engineers. Everyone talks about Jevons paradox and how it relates to AI; I think there’s nowhere that it’s more true than software, because we really never seem to run out of demand for more code and more software.”
2:28

Cognition’s Scott Wu: “If anything, there’s going to be a lot more software engineers. Everyone talks about Jevons paradox and how it relates to AI; I think there’s nowhere that it’s more true than software, because we really never seem to run out of demand for more code and more software.”

Stripe

15,177 просмотров • 11 месяцев назад

“Software engineering is changing, and by the end of 2025, it's going to look fundamentally different.” OpenAI co-founder Greg Brockman says Codex is a remote software agent that runs in parallel in your repo, and writes code like a teammate. The new model is optimized from o3 to produce mergeable, real-world code.
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“Software engineering is changing, and by the end of 2025, it's going to look fundamentally different.” OpenAI co-founder Greg Brockman says Codex is a remote software agent that runs in parallel in your repo, and writes code like a teammate. The new model is optimized from o3 to produce mergeable, real-world code.

vitrupo

35,303 просмотров • 1 год назад

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.
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Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.

Dustin

420,288 просмотров • 5 месяцев назад

CPO Mike Krieger says Anthropic's top engineers are becoming “orchestrators of Claudes,” running agents to handle tasks once given to junior hires. “It would be unrealistic that the exact same jobs look exactly the same, even a year or two from now.” The role of early-career engineers is already shifting.
1:18

CPO Mike Krieger says Anthropic's top engineers are becoming “orchestrators of Claudes,” running agents to handle tasks once given to junior hires. “It would be unrealistic that the exact same jobs look exactly the same, even a year or two from now.” The role of early-career engineers is already shifting.

vitrupo

82,160 просмотров • 1 год назад

Amjad Masad says the best engineers are now managing fleets of AI agents. Every dev is a manager. Every manager, a multiplier. “The difference between a great engineer and an okay one is going to be 100x.” He expects pay structures to shift accordingly, over next 6-12 months.
1:03

Amjad Masad says the best engineers are now managing fleets of AI agents. Every dev is a manager. Every manager, a multiplier. “The difference between a great engineer and an okay one is going to be 100x.” He expects pay structures to shift accordingly, over next 6-12 months.

vitrupo

116,048 просмотров • 1 год назад

By end of year I think 95%+ agent sessions will come from automations and events. We already see this happening Cognition where more than 50% of Devin customer sessions are triggered by non-humans. Learning how to build these types of systems will be a valuable skill. In this video I walk through how to get started with event-driven agentic systems with Devin, starting with transforming Slack into an agent-native control plane. You can extend this to GitHub events, schedules, and arbitrary webhooks while maintaining traceability, auditability, and session attribution with Devin.
6:09

By end of year I think 95%+ agent sessions will come from automations and events. We already see this happening Cognition where more than 50% of Devin customer sessions are triggered by non-humans. Learning how to build these types of systems will be a valuable skill. In this video I walk through how to get started with event-driven agentic systems with Devin, starting with transforming Slack into an agent-native control plane. You can extend this to GitHub events, schedules, and arbitrary webhooks while maintaining traceability, auditability, and session attribution with Devin.

nader dabit

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Devin Desktop

503,955 просмотров • 2 месяцев назад

Satya Nadella says you can't think of software development without AI anymore. It went from "being a joke" to autonomous agents helping you code in a matter of months.
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Satya Nadella says you can't think of software development without AI anymore. It went from "being a joke" to autonomous agents helping you code in a matter of months.

vitrupo

116,365 просмотров • 1 год назад

🆕The Age of Async Agents: Devin’s 7x PR growth, 80% AI commits, background agents, memory, testing, & Open-Inspect Cognition cofounder + CPO Walden and Open-Inspect creator explain why engineering is moving from local IDEs to cloud background agents, how Devin went from 16% to 80% of commits across Cognition repos, why spec-to-PR workflows became real after the December model inflection, why testing is harder than computer use, how Devin separates the brain from the machine, why MCP is not enough for production agent integrations, and how PMs, support teams, and SRE workflows are starting to turn Slack messages into pull requests.
0:44

🆕The Age of Async Agents: Devin’s 7x PR growth, 80% AI commits, background agents, memory, testing, & Open-Inspect Cognition cofounder + CPO Walden and Open-Inspect creator explain why engineering is moving from local IDEs to cloud background agents, how Devin went from 16% to 80% of commits across Cognition repos, why spec-to-PR workflows became real after the December model inflection, why testing is harder than computer use, how Devin separates the brain from the machine, why MCP is not enough for production agent integrations, and how PMs, support teams, and SRE workflows are starting to turn Slack messages into pull requests.

Latent.Space

24,685 просмотров • 2 месяцев назад

Cognition CEO Scott Wu says AI has already crossed the threshold. Even without further progress, it would surpass the internet as the biggest technology shift of our lives. And yet, the breakthroughs keep coming.
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Cognition CEO Scott Wu says AI has already crossed the threshold. Even without further progress, it would surpass the internet as the biggest technology shift of our lives. And yet, the breakthroughs keep coming.

vitrupo

93,075 просмотров • 1 год назад

Fixing a cloud virtual machine bricked by the CrowdStrike outage is an ideal job for AI agents like Devin. Nobody wants to do it, but it needs to be done — millions of times. Delegating these tasks to AI frees up engineers to do more interesting work. Here’s Devin’s fix:
3:07

Fixing a cloud virtual machine bricked by the CrowdStrike outage is an ideal job for AI agents like Devin. Nobody wants to do it, but it needs to be done — millions of times. Delegating these tasks to AI frees up engineers to do more interesting work. Here’s Devin’s fix:

Cognition

142,429 просмотров • 2 лет назад

We asked Scott Wu (CEO of @cognition) to break down the AI coding market. "There are primarily two markets: eng + eng teams vs. non-eng." "Dev tooling helps engs talk to engs, whether it's building projects at home or shipping pull requests at work." "The 'app builder' category targets non-eng and empowers them to build software."
1:09

We asked Scott Wu (CEO of @cognition) to break down the AI coding market. "There are primarily two markets: eng + eng teams vs. non-eng." "Dev tooling helps engs talk to engs, whether it's building projects at home or shipping pull requests at work." "The 'app builder' category targets non-eng and empowers them to build software."

TBPN

66,762 просмотров • 1 год назад

Robinhood CEO Vlad Tenev's hot take about jobs in the AI era: "There will be more software engineers in 10 years than there are today, and there will be more lawyers." "It's going to become much easier to start a venture and run it autonomously." "You'll be a software engineer, de facto. You've got your Claude Code agents writing code for you." "There will be more businesses." "The need for the legal profession actually scales with business activity." "If you have a million businesses incremental per year, each of those is going to need legal support." Vlad Tenev on Basis Points with amit and Steven Fiorillo
1:57

Robinhood CEO Vlad Tenev's hot take about jobs in the AI era: "There will be more software engineers in 10 years than there are today, and there will be more lawyers." "It's going to become much easier to start a venture and run it autonomously." "You'll be a software engineer, de facto. You've got your Claude Code agents writing code for you." "There will be more businesses." "The need for the legal profession actually scales with business activity." "If you have a million businesses incremental per year, each of those is going to need legal support." Vlad Tenev on Basis Points with amit and Steven Fiorillo

a16z

133,537 просмотров • 4 месяцев назад

Anthropic engineer: “80% of our engineers are using Loops. Now everyone is exploring how to build right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of agents.” in this 1-hour talk, Anthropic engineer shows how to build a self-improving agents from sratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.
1:01:51

Anthropic engineer: “80% of our engineers are using Loops. Now everyone is exploring how to build right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of agents.” in this 1-hour talk, Anthropic engineer shows how to build a self-improving agents from sratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.

Codez

35,798 просмотров • 17 дней назад