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。

Starting today, you can run cloud agents inside fully configured development environments. Set them up the same way you'd set up a laptop for an engineer: cloned repos, installed dependencies, and toolchain credentials.

Cursor

425,243 subscribers

287,289 次观看 • 1 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

Here is how to set up a team of AI agents to work on your project without disrupting anything. This is the top 1 upgrade you can do to your development environment: Start using dev containers to isolate agents and run them in parallel in their own cloud containers. Let me show you:

Here is how to set up a team of AI agents to work on your project without disrupting anything. This is the top 1 upgrade you can do to your development environment: Start using dev containers to isolate agents and run them in parallel in their own cloud containers. Let me show you:

Santiago

22,742 次观看 • 10 个月前

Cloud agents and automations now support multi-repo environments. Configure a single environment with all the repos an agent needs, and reuse it across sessions.

Cloud agents and automations now support multi-repo environments. Configure a single environment with all the repos an agent needs, and reuse it across sessions.

Cursor

46,988 次观看 • 1 个月前

Yesterday, we signed a seven figure contract, growing our enterprise revenue 10x since last year. Today, we launch our Act 2: Gitpod Flex. We want to give you all the building blocks to automate your software development lifecycle, starting with development environments. Here is what you get. -Automations: programmable tasks and services triggered on events unique to development environments - Gitpod Desktop: bringing cloud development environments to your laptop, starting with Mac - Runners: self-host in your cloud in three minutes - Dev Container: for base images, tools, and extensions - Zero-trust environments: ‘never trust, always verify’ every actor and service Try it for free in early access, no waitlist.

Yesterday, we signed a seven figure contract, growing our enterprise revenue 10x since last year. Today, we launch our Act 2: Gitpod Flex. We want to give you all the building blocks to automate your software development lifecycle, starting with development environments. Here is what you get. -Automations: programmable tasks and services triggered on events unique to development environments - Gitpod Desktop: bringing cloud development environments to your laptop, starting with Mac - Runners: self-host in your cloud in three minutes - Dev Container: for base images, tools, and extensions - Zero-trust environments: ‘never trust, always verify’ every actor and service Try it for free in early access, no waitlist.

Johannes Landgraf

26,082 次观看 • 1 年前

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

Santiago

25,691 次观看 • 4 个月前

Anthropic engineer: "Most people will use Sonnet 5 and Fable 5 wrong. You can set them up right in one afternoon and stop overpaying every single day." In 29 minutes, he breaks down every Claude model, and why running them all the same way is a mistake. Watch the session, then save the config below 👇

Anthropic engineer: "Most people will use Sonnet 5 and Fable 5 wrong. You can set them up right in one afternoon and stop overpaying every single day." In 29 minutes, he breaks down every Claude model, and why running them all the same way is a mistake. Watch the session, then save the config below 👇

darkzodchi

572,179 次观看 • 8 天前

SET UP A CLOUD PHONE AND NEVER GET BANNED

SET UP A CLOUD PHONE AND NEVER GET BANNED

wr⚡️zz

16,785 次观看 • 2 个月前

New video drop! This short walkthrough shows how Docker can be used to quickly launch a CrewAI project from the Compose for Agents repo, configured with a YAML file to set up a complete marketing team of AI agents in just minutes. Watch here:

New video drop! This short walkthrough shows how Docker can be used to quickly launch a CrewAI project from the Compose for Agents repo, configured with a YAML file to set up a complete marketing team of AI agents in just minutes. Watch here:

Docker

11,702 次观看 • 10 个月前

In an agentic world, identity = infrastructure. As humans, agents, and micro-agents start coordinating everything, you need a stable way to name and trust them and .agent is that shared identity layer. It’s designed to start on-chain and extend into DNS. Get your .agent identity set up before the good ones run out 👇

In an agentic world, identity = infrastructure. As humans, agents, and micro-agents start coordinating everything, you need a stable way to name and trust them and .agent is that shared identity layer. It’s designed to start on-chain and extend into DNS. Get your .agent identity set up before the good ones run out 👇

Sentient

58,631 次观看 • 6 个月前

The Mayor of Berlin 🇩🇪 heard Marlon wanted to set up a 1v1 Football Tournament so contacted Marlon and fully set up everything for him 👀

The Mayor of Berlin 🇩🇪 heard Marlon wanted to set up a 1v1 Football Tournament so contacted Marlon and fully set up everything for him 👀

Marlon updates

114,936 次观看 • 1 个月前

Introducing paper replications for arXiv Research codebases are notoriously hard to set up We deploy autoresearch agents to ingest popular arXiv repos, resolve setup issues, and get the core claim running. You can now sort papers by ease of implementation 🚀

Introducing paper replications for arXiv Research codebases are notoriously hard to set up We deploy autoresearch agents to ingest popular arXiv repos, resolve setup issues, and get the core claim running. You can now sort papers by ease of implementation 🚀

alphaXiv

59,382 次观看 • 21 天前

With the Agents SDK and Vercel Sandbox, agents can execute work in isolated environments while keeping credentials separate from the harness.

With the Agents SDK and Vercel Sandbox, agents can execute work in isolated environments while keeping credentials separate from the harness.

OpenAI Developers

49,570 次观看 • 2 个月前

Today, at Markov, we're launching RL Environments. The simplest (and cutest :D) way to evaluate and train your AI agents. We're starting with Bananazon - an environment for customer service agents. Try it out at the link below. Markov

Today, at Markov, we're launching RL Environments. The simplest (and cutest :D) way to evaluate and train your AI agents. We're starting with Bananazon - an environment for customer service agents. Try it out at the link below. Markov

Dev

35,487 次观看 • 6 个月前

Set Up a Windows Laptop WITHOUT a Microsoft Account

Set Up a Windows Laptop WITHOUT a Microsoft Account

David Bombal

34,782 次观看 • 10 个月前

The shoulder roll can be a way to set up counter combinations.

The shoulder roll can be a way to set up counter combinations.

Phantom Punch Breakdowns

15,610 次观看 • 6 个月前

Coding agents shouldn't run on a laptop. That's why I've been building Cave. It's a self-hosted platform for running OpenCode agents in isolated sandboxes on your own server. You give it a GitHub repo, it creates an isolated sandbox, clones the code, sets everything up, and gives you a coding agent. Check in from your phone, run multiple agents side by side. It's not open source yet (it will be), but I'm opening a private beta so you can install it on your own server already. I've been dogfooding it since day one. If you're running a software factory: multiple agents working in parallel across repos, Cave gives you one place to monitor and manage all of it. Now, I'm looking for people who want to give it a spin. DM me, happy to set you up 😊 🚀

Coding agents shouldn't run on a laptop. That's why I've been building Cave. It's a self-hosted platform for running OpenCode agents in isolated sandboxes on your own server. You give it a GitHub repo, it creates an isolated sandbox, clones the code, sets everything up, and gives you a coding agent. Check in from your phone, run multiple agents side by side. It's not open source yet (it will be), but I'm opening a private beta so you can install it on your own server already. I've been dogfooding it since day one. If you're running a software factory: multiple agents working in parallel across repos, Cave gives you one place to monitor and manage all of it. Now, I'm looking for people who want to give it a spin. DM me, happy to set you up 😊 🚀

André König

36,090 次观看 • 3 个月前

A person’s TV set up can tell you everything you need to know about them.

A person’s TV set up can tell you everything you need to know about them.

Roy Wood Jr- Ex Jedi

100,120 次观看 • 1 年前

Today, we are introducing a new feature on NoahAI. For a limited time only, you can set up your OpenClaw Solana Agents for Free, and launch it's token to trade it on Metaplex Setup details below ⤵️

Today, we are introducing a new feature on NoahAI. For a limited time only, you can set up your OpenClaw Solana Agents for Free, and launch it's token to trade it on Metaplex Setup details below ⤵️

NoahAI

19,914 次观看 • 2 个月前

Introducing Hugging Face Jobs - a *fully* managed way to run CPU and GPU Jobs directly from your CLI or Python scripts ⚡ Leaving you room to try, experiment and build without the worrying about setting up and finding compute! starting jobs is as simple as: hf jobs run python:3.12 python -c "print('Hello from the cloud!')" Try it out today! 🤗

Introducing Hugging Face Jobs - a fully managed way to run CPU and GPU Jobs directly from your CLI or Python scripts ⚡ Leaving you room to try, experiment and build without the worrying about setting up and finding compute! starting jobs is as simple as: hf jobs run python:3.12 python -c "print('Hello from the cloud!')" Try it out today! 🤗

Vaibhav (VB) Srivastav

18,803 次观看 • 11 个月前