Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

🎙️ State of Agentic Coding w/ Armin Ronacher ⇌ and Ben Vinegar returns In this episode (#9): - how agents are getting more autonomous - the subsidies will continue until morale improves - herdr and VC-funded terminal apps - vibe coding from your car, and more!

bentlegen's profile picture

Ben Vinegar

13,132 subscribers

45,298 görüntüleme • 6 gün önce •via X (Twitter)

Bilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

🎙️ State of Agentic Coding with Armin Ronacher ⇌ and Ben returns In this episode: - how Armin teamed up w/ Mario Zechner on Pi - the end of subsidized tokens? - why coding traces are valuable - GitHub, what might come next, and more!
1:38:22

🎙️ State of Agentic Coding with Armin Ronacher ⇌ and Ben returns In this episode: - how Armin teamed up w/ Mario Zechner on Pi - the end of subsidized tokens? - why coding traces are valuable - GitHub, what might come next, and more!

Ben Vinegar

96,999 görüntüleme • 3 ay önce

🎙️ State of Agentic Coding with Armin Ronacher ⇌ returns for Episode 7 In this pre-Fable 5 episode: - looping? - no more human-designed programming languages? - the state of local coding models - the marketing of token-maxing, and more
1:34:31

🎙️ State of Agentic Coding with Armin Ronacher ⇌ returns for Episode 7 In this pre-Fable 5 episode: - looping? - no more human-designed programming languages? - the state of local coding models - the marketing of token-maxing, and more

Ben Vinegar

72,022 görüntüleme • 2 ay önce

🎙️ State of Agentic Coding with Armin Ronacher ⇌ and Ben returns In this episode: - OpenClaw🦞 as a coding assistant? - Cursor stuck in an IDE trap? - Worktrees vs folders, Opus 4.6 fast mode, new predictions & more!
59:00

🎙️ State of Agentic Coding with Armin Ronacher ⇌ and Ben returns In this episode: - OpenClaw🦞 as a coding assistant? - Cursor stuck in an IDE trap? - Worktrees vs folders, Opus 4.6 fast mode, new predictions & more!

Ben Vinegar

22,522 görüntüleme • 6 ay önce

🎙️ State of Agentic Coding #5 with Armin Ronacher ⇌ and Ben In this episode: - death of the IDE premature? - what's with all the bugs - will future models fix yesterday's AI code? - token abuse, slowing down, and more!
1:38:48

🎙️ State of Agentic Coding #5 with Armin Ronacher ⇌ and Ben In this episode: - death of the IDE premature? - what's with all the bugs - will future models fix yesterday's AI code? - token abuse, slowing down, and more!

Ben Vinegar

32,186 görüntüleme • 4 ay önce

🎙️ 🚨 Latest State of Agentic Coding w/ special guest @mariozechner (Flask) is out: - Vibe-checking Fable & GLM 5.2 - Armin Ronacher ⇌ teaches us RL - How harnesses smooth out model jank - Loops, surviving AI fomo, and more Also on YT & Spotify ⬇️
1:20:52

🎙️ 🚨 Latest State of Agentic Coding w/ special guest @mariozechner (Flask) is out: - Vibe-checking Fable & GLM 5.2 - Armin Ronacher ⇌ teaches us RL - How harnesses smooth out model jank - Loops, surviving AI fomo, and more Also on YT & Spotify ⬇️

Ben Vinegar

70,868 görüntüleme • 1 ay önce

The ultimate form of agentic coding will not be the terminal. This is an experiment. An ADE (Agentic Coding Environment), designed from the ground up to work with agentic coding tools. Right now, this only supports Claude Code and runs on a Mac.
5:46

The ultimate form of agentic coding will not be the terminal. This is an experiment. An ADE (Agentic Coding Environment), designed from the ground up to work with agentic coding tools. Right now, this only supports Claude Code and runs on a Mac.

Santiago

40,179 görüntüleme • 6 ay önce

Start building with Gemini 3 Pro, our most intelligent model with state-of-the-art reasoning and complex multimodal understanding, as well as powerful agentic and vibe coding capabilities. See more below:
0:20

Start building with Gemini 3 Pro, our most intelligent model with state-of-the-art reasoning and complex multimodal understanding, as well as powerful agentic and vibe coding capabilities. See more below:

Google AI Developers

104,898 görüntüleme • 9 ay önce

I've been building a "front page" for Toad (my terminal UI for agentic coding). This will the first page the user will see if they run "toad" from the command line without additional arguments. For here they can browse / search for agents and install directly from the command line. There are 10 agent supported so far, with more being added all the time. I also see this is a place to install other more specialized AI tools in addition to agentic coding. Check out the video! #toad #AI
1:24

I've been building a "front page" for Toad (my terminal UI for agentic coding). This will the first page the user will see if they run "toad" from the command line without additional arguments. For here they can browse / search for agents and install directly from the command line. There are 10 agent supported so far, with more being added all the time. I also see this is a place to install other more specialized AI tools in addition to agentic coding. Check out the video! #toad #AI

Will McGugan

35,626 görüntüleme • 9 ay önce

The recording of my full 45-min talk on my vibe coding process is up! I go through the behind-the-scenes of how I get product ideas, how I talk to coding agents, how to prevent AI slop in design, and more (YouTube link in comment)
45:17

The recording of my full 45-min talk on my vibe coding process is up! I go through the behind-the-scenes of how I get product ideas, how I talk to coding agents, how to prevent AI slop in design, and more (YouTube link in comment)

Zara Zhang

32,815 görüntüleme • 2 ay önce

AI-Native Airtable has arrived. No add-ons, no siloed chat bots – powerful AI to build custom apps that mean business. Meet Omni and Field Agents - your expert team that combines vibe coding with enterprise-grade agentic workflows. With AI-powered app building, data analysis, and web research from Omni, and thousands of automated actions from your army of agents, we’re taking you from manual, to magical. Learn more → #AirtableAI #NoCodeAI
0:58

AI-Native Airtable has arrived. No add-ons, no siloed chat bots – powerful AI to build custom apps that mean business. Meet Omni and Field Agents - your expert team that combines vibe coding with enterprise-grade agentic workflows. With AI-powered app building, data analysis, and web research from Omni, and thousands of automated actions from your army of agents, we’re taking you from manual, to magical. Learn more → #AirtableAI #NoCodeAI

Airtable

2,316,415 görüntüleme • 1 yıl önce

🚨BREAKING: Goodbye App Developers. Emergent AI just launced the world's first agentic vibe coding platform. You can now builds apps, games, Chrome extensions, and more. 7 powerful use cases + how to try: 1. A gamified python learning app
0:29

🚨BREAKING: Goodbye App Developers. Emergent AI just launced the world's first agentic vibe coding platform. You can now builds apps, games, Chrome extensions, and more. 7 powerful use cases + how to try: 1. A gamified python learning app

Future Stacked

95,010 görüntüleme • 1 yıl önce

Today, we’re shipping new ways to observe, analyze, and debug agents with LangSmith: • Polly: an AI assistant for AI engineering that helps you understand traces, threads, and improve prompts • LangSmith Fetch: a CLI for pulling trace & thread data straight into your terminal or coding agent Agents are running longer and getting more complex, which demands new debugging workflows beyond simple LLM apps. We wrote a blog on the trends behind this shift— and why tools like Polly and LangSmith Fetch are needed. Shipping reliable agents requires full visibility into agent behavior, with tooling that helps you reason over that data in the UI, the terminal, or alongside coding agents. 📔Learn more about Polly: 📔Learn more about LangSmith Fetch: 📔How to observe deep agents: 📽️ Polly video tutorial: 📽️ LangSmith Fetch video tutorial:
7:10

Today, we’re shipping new ways to observe, analyze, and debug agents with LangSmith: • Polly: an AI assistant for AI engineering that helps you understand traces, threads, and improve prompts • LangSmith Fetch: a CLI for pulling trace & thread data straight into your terminal or coding agent Agents are running longer and getting more complex, which demands new debugging workflows beyond simple LLM apps. We wrote a blog on the trends behind this shift— and why tools like Polly and LangSmith Fetch are needed. Shipping reliable agents requires full visibility into agent behavior, with tooling that helps you reason over that data in the UI, the terminal, or alongside coding agents. 📔Learn more about Polly: 📔Learn more about LangSmith Fetch: 📔How to observe deep agents: 📽️ Polly video tutorial: 📽️ LangSmith Fetch video tutorial:

LangChain

31,035 görüntüleme • 8 ay önce

Almost ready for the first public release of Toad! The video shows Getting started with Agentic coding in Toad. Pick your agent. Install. And you are off to the races. All without ever leaving Toad or your terminal! OpenHands 🐸 ❤️ 👐
1:30

Almost ready for the first public release of Toad! The video shows Getting started with Agentic coding in Toad. Pick your agent. Install. And you are off to the races. All without ever leaving Toad or your terminal! OpenHands 🐸 ❤️ 👐

Will McGugan

32,095 görüntüleme • 8 ay önce

Claude Code is causing millions of people to ask the same question... Why should we pay for this software if I can build it in less than an hour? In this video > Build vs Buy Dilemma > The power of vibe coding > The skills of vibe coding > Real world examples of vibe coded internal tools > Ideas for getting started. TIMESTAMPS: 00:00 Intro 00:54 Quote from Vercel Founder 02:04 The Build vs. Buy Dilemma 05:08 The Traditional Software Development Process 06:39 The Power of Vibe Coding 07:09 Skills of Vibe Coding 08:46 Real-World Examples of Vibe Coding 15:52 Ideas for apps to get started 19:15 Future Trends and Conclusion
22:00

Claude Code is causing millions of people to ask the same question... Why should we pay for this software if I can build it in less than an hour? In this video > Build vs Buy Dilemma > The power of vibe coding > The skills of vibe coding > Real world examples of vibe coded internal tools > Ideas for getting started. TIMESTAMPS: 00:00 Intro 00:54 Quote from Vercel Founder 02:04 The Build vs. Buy Dilemma 05:08 The Traditional Software Development Process 06:39 The Power of Vibe Coding 07:09 Skills of Vibe Coding 08:46 Real-World Examples of Vibe Coding 15:52 Ideas for apps to get started 19:15 Future Trends and Conclusion

Riley Brown

36,532 görüntüleme • 7 ay önce

Google engineer: "In 2026 if you aren't building AI agents it's crazy how behind you are at Google, 85% of our engineers were running self-improving agentic loops & graphs" in this 32-minute talk a Google engineer reveals how the future of agentic coding will look worth more than 10 paid agentic courses watch today, then explore how to build self-improving agents with graphs in article below
32:06

Google engineer: "In 2026 if you aren't building AI agents it's crazy how behind you are at Google, 85% of our engineers were running self-improving agentic loops & graphs" in this 32-minute talk a Google engineer reveals how the future of agentic coding will look worth more than 10 paid agentic courses watch today, then explore how to build self-improving agents with graphs in article below

Movez

131,607 görüntüleme • 5 gün önce

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!
4:01

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!

Andrew Ng

139,873 görüntüleme • 1 yıl önce

We just launched Entire 101, a practical video series for developers building with coding agents. As agents produce more of our code, keeping track of what changed, why it changed, and the work behind those changes matters more than ever. Watch episode 1: How to Enable Entire in Your Repo
1:12

We just launched Entire 101, a practical video series for developers building with coding agents. As agents produce more of our code, keeping track of what changed, why it changed, and the work behind those changes matters more than ever. Watch episode 1: How to Enable Entire in Your Repo

Entire

14,052 görüntüleme • 13 gün önce

2.5 models are thinking models, capable of reasoning through thoughts before responding. The result is enhanced performance and improved accuracy. This means Gemini 2.5 can handle more complex problems in coding, science and math, and support more context-aware agents.
0:29

2.5 models are thinking models, capable of reasoning through thoughts before responding. The result is enhanced performance and improved accuracy. This means Gemini 2.5 can handle more complex problems in coding, science and math, and support more context-aware agents.

Google

31,023 görüntüleme • 1 yıl önce