Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Getting from vibe coding to production is hard - this great post from Andrej Karpathy highlights what makes it hard. This is what AI FDE was built to solve. Each of these things are primitives in the platform, so AI FDE can actually ship!

thelastnode's profile picture

Ankit Shankar

1,901 subscribers

74,290 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & TechnologieBildung
LIVE

Anya Rossi• Live Now

Private livecam show

1 Kommentare

Profilbild von Holden
Holdenvor 1 Jahr

@amitisinvesting @karpathy Looks great until you order something and it looks nothing like the AI images. Super cool though.

Ähnliche Videos

🚨 Product Launch: AI FDE | DevCon 3 Link to full demo below ⬇️ “The Palantir platform allows you to execute with world-class speed and efficiency…. We built the AI FDE platform for you, so you can do this even faster than before” “AI FDE can build your data transformations, create and edit your ontology, create functions, build applications, debug problems for you, and many more coming soon.” “Our design philosophy around this is to make it so that any clicks that humans do in the Ul today should be things that you can have AI FDE do for you.” Domination 🔮 $PLTR
1:22

🚨 Product Launch: AI FDE | DevCon 3 Link to full demo below ⬇️ “The Palantir platform allows you to execute with world-class speed and efficiency…. We built the AI FDE platform for you, so you can do this even faster than before” “AI FDE can build your data transformations, create and edit your ontology, create functions, build applications, debug problems for you, and many more coming soon.” “Our design philosophy around this is to make it so that any clicks that humans do in the Ul today should be things that you can have AI FDE do for you.” Domination 🔮 $PLTR

Jack Prescott

20,684 Aufrufe • vor 1 Jahr

Andrej Karpathy: “Vibe coding is incredible. But agentic engineering is the next level. 90% of my coding routine is automated by AI agents.” In this 30-minute talk, Andrej Karpathy explains how to build an AI agent workflow from scratch. Worth more than 500$ agentic engineering course on the internet. Watch it today, then read the article below.
29:49

Andrej Karpathy: “Vibe coding is incredible. But agentic engineering is the next level. 90% of my coding routine is automated by AI agents.” In this 30-minute talk, Andrej Karpathy explains how to build an AI agent workflow from scratch. Worth more than 500$ agentic engineering course on the internet. Watch it today, then read the article below.

Movez

174,696 Aufrufe • vor 23 Tagen

Andrej Karpathy recently coined the term “vibe coding” to describe how LLMs are getting so good that devs can “give in to the vibes, embrace exponentials, and forget that the code even exists.” In this episode of the Lightcone Podcast, the hosts discuss this new way of programming and what it means for builders in the age of AI.
0:28

Andrej Karpathy recently coined the term “vibe coding” to describe how LLMs are getting so good that devs can “give in to the vibes, embrace exponentials, and forget that the code even exists.” In this episode of the Lightcone Podcast, the hosts discuss this new way of programming and what it means for builders in the age of AI.

Y Combinator

827,901 Aufrufe • vor 1 Jahr

Something that stunned me about is they've moved away from the FDE playbook that's become the default for fast growing AI startups. Instead they've built AI to covert plain English from the customer into Python code to make the product work for their use cases i.e. an AI FDE. It's a huge technical feat and is how they can onboard enterprises in weeks vs months.
3:18

Something that stunned me about is they've moved away from the FDE playbook that's become the default for fast growing AI startups. Instead they've built AI to covert plain English from the customer into Python code to make the product work for their use cases i.e. an AI FDE. It's a huge technical feat and is how they can onboard enterprises in weeks vs months.

Harj Taggar

653,331 Aufrufe • vor 7 Monaten

Andrej Karpathy (Andrej Karpathy) — co-founded OpenAI, led AI at Tesla, coined "vibe coding." In 4 minutes he explains why software is changing - and why Claude Skills, MCP servers, and AI agents aren't hype anymore. They're the foundation of how software gets built from now on. Imo, worth every second (i've added subtitles)👇
4:22

Andrej Karpathy (Andrej Karpathy) — co-founded OpenAI, led AI at Tesla, coined "vibe coding." In 4 minutes he explains why software is changing - and why Claude Skills, MCP servers, and AI agents aren't hype anymore. They're the foundation of how software gets built from now on. Imo, worth every second (i've added subtitles)👇

darkzodchi

453,878 Aufrufe • vor 3 Monaten

This is PURE MATH!! Built fully with Three.js and completely vibe coded using Gemini 3.1 Pro in Google AI Studio. This is what AI can do right now. I have been vibe coding a lot of websites lately and every day these models go beyond what I thought was possible 🤯 Still in awe. Expect more voxel 3D drops coming to my feed :) Remix:
0:32

This is PURE MATH!! Built fully with Three.js and completely vibe coded using Gemini 3.1 Pro in Google AI Studio. This is what AI can do right now. I have been vibe coding a lot of websites lately and every day these models go beyond what I thought was possible 🤯 Still in awe. Expect more voxel 3D drops coming to my feed :) Remix:

The Bugged Dev

29,776 Aufrufe • vor 2 Monaten

Andrej Karpathy (Andrej Karpathy), OpenAI co-founder, ex-Tesla AI, "vibe coding" creator. In just 4 mins, he explains why Claude Skills, MCP servers, and AI agents are past the hype and are now the new baseline for building. Worth every second ↓
4:22

Andrej Karpathy (Andrej Karpathy), OpenAI co-founder, ex-Tesla AI, "vibe coding" creator. In just 4 mins, he explains why Claude Skills, MCP servers, and AI agents are past the hype and are now the new baseline for building. Worth every second ↓

Charly Wargnier

415,996 Aufrufe • vor 3 Monaten

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.
29:43

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Rahul

1,197,553 Aufrufe • vor 1 Monat

One of my favorite parts of the new AI Studio vibe coding experience is actually these AI powered suggestions of what to build next 💡! While I wait for the app to finish generating, I am already brainstorming and queueing up what to do next.
0:22

One of my favorite parts of the new AI Studio vibe coding experience is actually these AI powered suggestions of what to build next 💡! While I wait for the app to finish generating, I am already brainstorming and queueing up what to do next.

Logan Kilpatrick

73,099 Aufrufe • vor 8 Monaten

Introducing the new AI first vibe coding experience in Google AI Studio! Built to take you from prompt to production with Gemini, and optimized for AI app creation. Start building AI apps for free : ) More updates and features to come!
4:40

Introducing the new AI first vibe coding experience in Google AI Studio! Built to take you from prompt to production with Gemini, and optimized for AI app creation. Start building AI apps for free : ) More updates and features to come!

Logan Kilpatrick

1,580,960 Aufrufe • vor 8 Monaten

"The rare part in these allegations are that the head coach was this direct in the tampering.. Is there actually hard evidence of this happening and that's what this is gonna come down to" Pete Thamel #PMSLive
2:04

"The rare part in these allegations are that the head coach was this direct in the tampering.. Is there actually hard evidence of this happening and that's what this is gonna come down to" Pete Thamel #PMSLive

Pat McAfee

298,901 Aufrufe • vor 5 Monaten

This is the recap I posted a year ago documenting highlights from 2023. Tomorrow morning I’m posting the highlights from 2024. They were both great years, so it’s hard to say which I prefer! Let me know what you think when you see tomorrow’s post!
1:30

This is the recap I posted a year ago documenting highlights from 2023. Tomorrow morning I’m posting the highlights from 2024. They were both great years, so it’s hard to say which I prefer! Let me know what you think when you see tomorrow’s post!

Andrew McCarthy

82,036 Aufrufe • vor 1 Jahr

OpenAI’s “The Deployment Company” is stealing clients’ IP and selling it to their competitors. This used to be a conspiracy theory. It’s not anymore. Watch this clip of OpenAI’s Head of Forward Deployed Engineering (speaking at South Park Commons). He says it directly: FDE service revenue doesn’t matter to OpenAI. Only Recurring Revenue from product does. To turn FDE engagement into product, OpenAI needs three things: 1. Subject matter expertise 2. Context to train on 3. Engineering And clients are paying OpenAI for them to get all three. OpenAI’s FDE clients don’t matter to them. They’re just a data source. Indie FDE agencies, on the other hand, obsess over clients because that is their business model. There isn’t a backend offer. Indie FDE agencies make money from happy clients. The Deployment Company makes money when shoplift clients’ data. Incentives matter. Hire Indie FDEs.
0:46

OpenAI’s “The Deployment Company” is stealing clients’ IP and selling it to their competitors. This used to be a conspiracy theory. It’s not anymore. Watch this clip of OpenAI’s Head of Forward Deployed Engineering (speaking at South Park Commons). He says it directly: FDE service revenue doesn’t matter to OpenAI. Only Recurring Revenue from product does. To turn FDE engagement into product, OpenAI needs three things: 1. Subject matter expertise 2. Context to train on 3. Engineering And clients are paying OpenAI for them to get all three. OpenAI’s FDE clients don’t matter to them. They’re just a data source. Indie FDE agencies, on the other hand, obsess over clients because that is their business model. There isn’t a backend offer. Indie FDE agencies make money from happy clients. The Deployment Company makes money when shoplift clients’ data. Incentives matter. Hire Indie FDEs.

Mike Fishbein

56,804 Aufrufe • vor 24 Tagen

We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."
2:13

We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."

TBPN

86,230 Aufrufe • vor 1 Jahr

Great AI starts with great prompts, and Salesforce Einstein 1 Platform makes it easy to create prompts grounded in your customer data. The Einstein Trust Layer ensures your data is never stored outside of Salesforce, so these prompts are trusted. What kind of prompts will you build?
4:21

Great AI starts with great prompts, and Salesforce Einstein 1 Platform makes it easy to create prompts grounded in your customer data. The Einstein Trust Layer ensures your data is never stored outside of Salesforce, so these prompts are trusted. What kind of prompts will you build?

Marc Benioff

192,823 Aufrufe • vor 2 Jahren

THIS IS VIBE CODING ROBOTICS. Someone just built a complete robot arm simulation using Gemini 3. AI wrote the inverse kinematics from scratch the robot stacks cubes to build walls.
0:43

THIS IS VIBE CODING ROBOTICS. Someone just built a complete robot arm simulation using Gemini 3. AI wrote the inverse kinematics from scratch the robot stacks cubes to build walls.

Aman

82,858 Aufrufe • vor 2 Monaten

CYBER SLEUTH: Can AI crack the Nancy Guthrie case? A former White House Chief Information Officer says the new tech could lead to a major breakthrough: "They can start using AI to match up the eyes, so we have the eyes, the eyebrows, you can use AI to ask questions about what are the probabilities that these faces actually could be a good match, what are the probabilities that this person is wearing layers of clothing and they are not this bulky, what are the probabilities that they are taller than they seem to be and what do they weigh." "There's a lot of things that AI can be doing to aid this investigation."
1:17

CYBER SLEUTH: Can AI crack the Nancy Guthrie case? A former White House Chief Information Officer says the new tech could lead to a major breakthrough: "They can start using AI to match up the eyes, so we have the eyes, the eyebrows, you can use AI to ask questions about what are the probabilities that these faces actually could be a good match, what are the probabilities that this person is wearing layers of clothing and they are not this bulky, what are the probabilities that they are taller than they seem to be and what do they weigh." "There's a lot of things that AI can be doing to aid this investigation."

Fox News

56,688 Aufrufe • vor 4 Monaten

Forward-deployed engineering explained via Nabeel S. Qureshi (who spent ~8 years at Palantir as an FDE) "The job of the forward-deployed engineers is not just to deploy software, it is not just to sell software, it is to actually solve the problem."
1:07

Forward-deployed engineering explained via Nabeel S. Qureshi (who spent ~8 years at Palantir as an FDE) "The job of the forward-deployed engineers is not just to deploy software, it is not just to sell software, it is to actually solve the problem."

Lenny Rachitsky

12,566 Aufrufe • vor 1 Jahr

Many love entrepreneurship when it’s easy … but what about when it’s hard … have noticed a lot of complaining and crying about what th competition is doing or how hard it is to raise money, social media changing, ai 🤖 being invented … a lot of “entrepreneurs” getting exposed in these streets .. some hard truths this Saturday morning ☀️
0:37

Many love entrepreneurship when it’s easy … but what about when it’s hard … have noticed a lot of complaining and crying about what th competition is doing or how hard it is to raise money, social media changing, ai 🤖 being invented … a lot of “entrepreneurs” getting exposed in these streets .. some hard truths this Saturday morning ☀️

Gary Vaynerchuk

19,437 Aufrufe • vor 2 Monaten

We've built 40+ AI agents and internal tools. The hardest part is Context Creation. AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop. Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools. As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions. We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context. Here's how it works: We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it. Then our FDE Factory Agents builds in their expertise in minutes: > Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec > Scope Agent checks the spec against the development roadmap, validates it, and hands it off > Engineering Agent builds a new feature and wires the integration > QA Agent runs tests to prove to itself it works > PR merges, feature goes live, product updates itself in real time It's like the nontechnical stakeholder wrote the code without even knowing it. Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers. But nontechnical people are capped on what they can build without product people and engineers. The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production. Context Creation is the first and most important step in our FDE lifecycle, and we just automated it. Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise. PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.
3:40

We've built 40+ AI agents and internal tools. The hardest part is Context Creation. AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop. Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools. As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions. We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context. Here's how it works: We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it. Then our FDE Factory Agents builds in their expertise in minutes: > Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec > Scope Agent checks the spec against the development roadmap, validates it, and hands it off > Engineering Agent builds a new feature and wires the integration > QA Agent runs tests to prove to itself it works > PR merges, feature goes live, product updates itself in real time It's like the nontechnical stakeholder wrote the code without even knowing it. Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers. But nontechnical people are capped on what they can build without product people and engineers. The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production. Context Creation is the first and most important step in our FDE lifecycle, and we just automated it. Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise. PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.

Mike Fishbein

10,090 Aufrufe • vor 27 Tagen