Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Code Arena can handle image inputs for agentic web dev tasks, reasoning through multi-step problems and using tools along the way. Watch how it works with Aryan Vichare in this clip. Find a link to the full walkthrough on how Code Arena creates sites and apps from images in thread.

arena's profile picture

Arena.ai

152,772 subscribers

19,933 Aufrufe • vor 2 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️
1:24

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️

Arena.ai

246,068 Aufrufe • vor 5 Monaten

🚀Introducing Code Arena: the next generation of live coding evals for frontier AI models. Built to test how models plan, scaffold, debug, and build real web apps step-by-step. Try Claude, GPT-5, GLM-4.6 and Gemini in Code Arena today!
0:56

🚀Introducing Code Arena: the next generation of live coding evals for frontier AI models. Built to test how models plan, scaffold, debug, and build real web apps step-by-step. Try Claude, GPT-5, GLM-4.6 and Gemini in Code Arena today!

Arena.ai

327,119 Aufrufe • vor 6 Monaten

How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.
0:52

How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.

Arena.ai

115,220 Aufrufe • vor 3 Monaten

👨‍💻Have you tested models in the new Code Arena yet? In this thread, we’re showcasing real Gemini 3 Pro by Google DeepMind creations and the exact prompts used, all of them built inside the Code Arena. You can directly compare Gemini’s outputs against other top frontier models on real web development tasks. Build, compare, vote, and share your own creations directly from the chat. See examples in the thread. 🧵
0:40

👨‍💻Have you tested models in the new Code Arena yet? In this thread, we’re showcasing real Gemini 3 Pro by Google DeepMind creations and the exact prompts used, all of them built inside the Code Arena. You can directly compare Gemini’s outputs against other top frontier models on real web development tasks. Build, compare, vote, and share your own creations directly from the chat. See examples in the thread. 🧵

Arena.ai

25,301 Aufrufe • vor 6 Monaten

How do you teach a robot to handle complex, multi-step tasks, without training it for each one? [Github ⬇️] The team behind ReKep shows that robots can perform bimanual, in-the-wild tasks by reasoning over keypoint constraints: Generated on the fly using vision and language models. No task-specific data, no environment modeling. Why it matters ✅ Encodes tasks as simple Python functions over 3D keypoints ✅ Uses VLMs to generate keypoint constraints from instructions ✅ Plans and replans in real time with a 10 Hz perception-action loop ✅ Works for bimanual, multi-stage tasks without task-specific training Built on open tools like SciPy and BEHAVIOR, ReKep brings reactive, general-purpose reasoning closer to real-world robot control. Project website: Paper: Code: Walkthrough video: Thank you, Wenlong Huang for sharing 🫶
1:56

How do you teach a robot to handle complex, multi-step tasks, without training it for each one? [Github ⬇️] The team behind ReKep shows that robots can perform bimanual, in-the-wild tasks by reasoning over keypoint constraints: Generated on the fly using vision and language models. No task-specific data, no environment modeling. Why it matters ✅ Encodes tasks as simple Python functions over 3D keypoints ✅ Uses VLMs to generate keypoint constraints from instructions ✅ Plans and replans in real time with a 10 Hz perception-action loop ✅ Works for bimanual, multi-stage tasks without task-specific training Built on open tools like SciPy and BEHAVIOR, ReKep brings reactive, general-purpose reasoning closer to real-world robot control. Project website: Paper: Code: Walkthrough video: Thank you, Wenlong Huang for sharing 🫶

Ilir Aliu - eu/acc

25,348 Aufrufe • vor 1 Jahr

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!
2:17

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

Andrew Ng

124,382 Aufrufe • vor 1 Jahr

Build Multi Agent Systems with Reasoning and Context Thanks to sonnet-4, we have level 4 autonomous multi-agent systems working. Learn how to add: -> Reasoning Tools (think -> analyze) -> Shared Agentic Context -> Agentic Memory Code below 👇
14:17

Build Multi Agent Systems with Reasoning and Context Thanks to sonnet-4, we have level 4 autonomous multi-agent systems working. Learn how to add: -> Reasoning Tools (think -> analyze) -> Shared Agentic Context -> Agentic Memory Code below 👇

Ashpreet Bedi

38,576 Aufrufe • vor 1 Jahr

We're taking the next big step with Researcher. With Computer Use, it can now securely browse the open and gated web to find hard-to-locate information—even across hundreds of sites—and handle multi-step tasks to uncover insights, take action, and create richer reports.
1:15

We're taking the next big step with Researcher. With Computer Use, it can now securely browse the open and gated web to find hard-to-locate information—even across hundreds of sites—and handle multi-step tasks to uncover insights, take action, and create richer reports.

Satya Nadella

336,206 Aufrufe • vor 7 Monaten

You can now delegate tasks to Claude Code directly from Slack. Simply tag @.Claude in a channel or thread. Coding tasks will automatically be routed to Claude Code and start up a new session on the web.
0:41

You can now delegate tasks to Claude Code directly from Slack. Simply tag @.Claude in a channel or thread. Coding tasks will automatically be routed to Claude Code and start up a new session on the web.

Claude

326,064 Aufrufe • vor 5 Monaten

CodeRabbit has multi-step agentic workflows, that can raise PRs for you. All that you need to do is ask! CodeRabbit Agentic Chat handles the full process it plans, generates code, and creates a draft PR for review. Step-by-step tutorial below. 1/6
0:23

CodeRabbit has multi-step agentic workflows, that can raise PRs for you. All that you need to do is ask! CodeRabbit Agentic Chat handles the full process it plans, generates code, and creates a draft PR for review. Step-by-step tutorial below. 1/6

AshutoshShrivastava

36,691 Aufrufe • vor 1 Jahr

AI is moving fast. And OpenAI's new image model proves it — knowing how to use AI images to your advantage is now crucial for designers. So we teamed up with Nick St. Pierre (The AI Image Master) to walkthrough one of the best AI image generation tools right now, Midjourney, and build a full website using only AI images, in 1 hour. Watch the full breakdown👇
1:14

AI is moving fast. And OpenAI's new image model proves it — knowing how to use AI images to your advantage is now crucial for designers. So we teamed up with Nick St. Pierre (The AI Image Master) to walkthrough one of the best AI image generation tools right now, Midjourney, and build a full website using only AI images, in 1 hour. Watch the full breakdown👇

Relume

14,706 Aufrufe • vor 1 Jahr

Today's update of Gemini 2.5 Pro Preview is amazing at code web dev, editing, and transformation -- it is now #1 on the WebDev arena, with an ELO score of 1420. That means you can build super cool, visually stunning web apps, with just a single prompt! Check out this example, where we explore the world using this app we created in Gemini's Canvas using the Maps API.
0:30

Today's update of Gemini 2.5 Pro Preview is amazing at code web dev, editing, and transformation -- it is now #1 on the WebDev arena, with an ELO score of 1420. That means you can build super cool, visually stunning web apps, with just a single prompt! Check out this example, where we explore the world using this app we created in Gemini's Canvas using the Maps API.

Tulsee Doshi

115,447 Aufrufe • vor 1 Jahr

🚨BREAKING: You can now build full apps using OpenAI’s image API. This agentic vibecoding platform connects to OpenAI’s image API and turns ideas into real apps. Here’s how I vibecoded with it:
0:26

🚨BREAKING: You can now build full apps using OpenAI’s image API. This agentic vibecoding platform connects to OpenAI’s image API and turns ideas into real apps. Here’s how I vibecoded with it:

Hasan Toor ✪

146,416 Aufrufe • vor 1 Jahr

Claude Code is now included in the Claude Pro plan which means Pro plan subscribers can use their rate limits for Claude apps and Claude Code! To celebrate, here's a conversation with Claude Code's founding engineer, Boris Cherny, on: - how we use Claude Code at Anthropic - underrated tips for using it effectively - the future of coding tools - and more!
20:43

Claude Code is now included in the Claude Pro plan which means Pro plan subscribers can use their rate limits for Claude apps and Claude Code! To celebrate, here's a conversation with Claude Code's founding engineer, Boris Cherny, on: - how we use Claude Code at Anthropic - underrated tips for using it effectively - the future of coding tools - and more!

Alex Albert

123,686 Aufrufe • vor 1 Jahr

Maaz (agentic arc) built OSAP to stop the constant tab-switching between Slack, GitHub, and Notion. It uses GLM-5.1 as a reasoning layer to handle multi-step tasks across different apps, with persistent memory (HydraDB) to keep track of your specific workflow habits.
2:09

Maaz (agentic arc) built OSAP to stop the constant tab-switching between Slack, GitHub, and Notion. It uses GLM-5.1 as a reasoning layer to handle multi-step tasks across different apps, with persistent memory (HydraDB) to keep track of your specific workflow habits.

Z.ai

47,893 Aufrufe • vor 1 Monat

Excited to announce my new short course: Building Agentic Applications with Replit Agent and n8n. With AI this capable, I believe anyone can become a builder. The stack I use here will teach you how to rapidly build agentic apps with no-code tools.
2:55

Excited to announce my new short course: Building Agentic Applications with Replit Agent and n8n. With AI this capable, I believe anyone can become a builder. The stack I use here will teach you how to rapidly build agentic apps with no-code tools.

elvis

41,359 Aufrufe • vor 10 Monaten

Using a pasta machine to send a photo through creates pixelated, simplified versions of the image. This is a great way to illustrate how Convolutional Neural Networks (CNNs) work. Each pass through the machine represents a layer in a CNN, where images are processed step by step. In CNNs, each layer identifies specific features like edges, textures, or colors. Just as the pasta machine alters the photo with each pass, CNNs refine and simplify the image for better understanding. This step-by-step process allows CNNs to recognize complex images, making them useful in areas like image classification and object detection. It ain’t perfect but it’s a simple presentation.
0:43

Using a pasta machine to send a photo through creates pixelated, simplified versions of the image. This is a great way to illustrate how Convolutional Neural Networks (CNNs) work. Each pass through the machine represents a layer in a CNN, where images are processed step by step. In CNNs, each layer identifies specific features like edges, textures, or colors. Just as the pasta machine alters the photo with each pass, CNNs refine and simplify the image for better understanding. This step-by-step process allows CNNs to recognize complex images, making them useful in areas like image classification and object detection. It ain’t perfect but it’s a simple presentation.

Brian Roemmele

97,202 Aufrufe • vor 1 Jahr

This is game-changing... 🤯 I discovered how to build AI-powered web apps in MINUTES Using Llama Coder + DeepSeek v3 Build quizzes, calculators, and tools without writing a single line of code I'm sharing a complete tutorial on how to set this up 100% FREE (Pin this post - it's about to change your dev workflow)
6:37

This is game-changing... 🤯 I discovered how to build AI-powered web apps in MINUTES Using Llama Coder + DeepSeek v3 Build quizzes, calculators, and tools without writing a single line of code I'm sharing a complete tutorial on how to set this up 100% FREE (Pin this post - it's about to change your dev workflow)

Julian Goldie SEO

13,051 Aufrufe • vor 1 Jahr

I hooked up an iOS shortcut to GPT-4 and GitHub. Here’s how it works: - identifies the repo - identifies the target files - writes the code for me - creates a branch - commits changes Now I can code right on my Apple Watch with nothing but my voice!
1:23

I hooked up an iOS shortcut to GPT-4 and GitHub. Here’s how it works: - identifies the repo - identifies the target files - writes the code for me - creates a branch - commits changes Now I can code right on my Apple Watch with nothing but my voice!

Mckay Wrigley

1,283,848 Aufrufe • vor 3 Jahren

Enter the Arena. Build Multichain. The Wormhole Dev Arena is where you can upskill and learn how to build real multichain apps, one challenge at a time. Start building:
0:51

Enter the Arena. Build Multichain. The Wormhole Dev Arena is where you can upskill and learn how to build real multichain apps, one challenge at a time. Start building:

Wormhole Sigma

14,787 Aufrufe • vor 1 Jahr