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Devin was the moment the industry realized agents could do real engineering work. Real work requires real machines, and we’re building the best. With Outposts, Devin can run in E2B sandboxes in your cloud, sized to any CPU/RAM spec. Sessions start in sub-second time, stay persistent across pauses and...

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Vasek Mlejnsky

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16,068 просмотров • 1 месяц назад •via X (Twitter)

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Something cool - had Devin build a React Native app with Expo and test it on my phone in real time AI writes code in the cloud, I scan a QR code, app shows up on my device with hot reload. No local dev environment needed! I can run parallel sessions from anywhere.

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The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin for Terminal: everything we learned building Devin, now as a local agent, available right in your shell. And when your work outgrows your laptop, hand it off to the cloud.
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You can't build iOS apps without a Mac, so we gave Devin one. Devin Cloud Agents now run macOS, with Xcode, iOS simulator, and your signing setup, all in a real macOS environment (with full computer use). In this demo, Devin builds a native iOS game, then plays and tests it with computer use. Devin then sends a screen recording of the gameplay along with a test report for my review. With Namespace you get as many macOS environments as you'd like, configurable with many major versions of macOS operating system and Xcode.

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It’s now easier to move local agents to the cloud so they can keep working with your laptop closed. Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work.

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71,264 просмотров • 1 месяц назад

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Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser. When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted. Check out what Devin can do in the thread below.

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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:

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Imagine if coding agents never forgot decisions, never duplicated work, and could coordinate across the same codebase in real time. We’re advancing how agents collaborate on codebases with OriginTrail DKG V9 - turning a GitHub repo and agent activity into a shared knowledge graph for persistent memory and coordination. The result: faster agentic development, less repeated work, lower token usage, and agents that can actually build on each other’s progress. Here’s how it works 👇

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Live visual descriptions can aid blind people in understanding their surroundings with autonomy and independence. In our #UIST2024 work, we present WorldScribe that generates automated visual descriptions that are adaptive to the users’ contexts in real-time, in the real world.

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With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.

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Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

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Alook launched an open-source platform that lets a single person run an organized team of AI agents, with defined roles, reporting lines, and real email coordination between agents. Close the screen and terminal, the agents keep running, and the work lands in your inbox.

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Devin is like Claude Code except it lives in the cloud and runs against all of your repos vs your local filesystem. So it never turns off, can be run from anywhere including your phone + Slack, and runs as many tasks as you can send it in parallel. It's complementary to all agentic IDEs and CLIs, and for the first time ever it's free to get started.

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49,659 просмотров • 5 месяцев назад

Mat Ishbia on trading Devin Booker: “Devin Booker’s our franchise player. I love Devin Booker. Devin Booker loves being here. Our coach loves Devin Booker. Our GM loves Devin Booker. Devin Booker is going to be here. Devin Booker is going to lead us to a championship here in Phoenix. That’s what he’s going to do. And we’re going to build the right team around him. He’s going to get better, just like I’m going to get better, just like everyone is going to get better at our organization. Devin Booker is who we want here. He’s great for the city, great for the community — I’ll ride into a fire with Devin Booker, and I’ll do it proudly. He’s going to have my back and I’m going to have his back. Devin Booker’s our guy. The national media just says stuff to say stuff sometimes, and sometimes I like to respond and sometimes I don’t, because it’s just ridiculous. Devin Booker’s not getting traded. Devin Booker’s our franchise player and, like I said, we’re going to win a championship here with Devin Booker and I’m excited to do it, and I’m excited to be next to him when we do that."
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Mat Ishbia on trading Devin Booker: “Devin Booker’s our franchise player. I love Devin Booker. Devin Booker loves being here. Our coach loves Devin Booker. Our GM loves Devin Booker. Devin Booker is going to be here. Devin Booker is going to lead us to a championship here in Phoenix. That’s what he’s going to do. And we’re going to build the right team around him. He’s going to get better, just like I’m going to get better, just like everyone is going to get better at our organization. Devin Booker is who we want here. He’s great for the city, great for the community — I’ll ride into a fire with Devin Booker, and I’ll do it proudly. He’s going to have my back and I’m going to have his back. Devin Booker’s our guy. The national media just says stuff to say stuff sometimes, and sometimes I like to respond and sometimes I don’t, because it’s just ridiculous. Devin Booker’s not getting traded. Devin Booker’s our franchise player and, like I said, we’re going to win a championship here with Devin Booker and I’m excited to do it, and I’m excited to be next to him when we do that."

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22,807 просмотров • 3 месяцев 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.
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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.

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OpenAI just recreated Samantha from the movie "Her" This means we can finally have agents that do computer work as we talk to them in real time. Imagine the world when your agent creates thousands of versions of itself, each with its own Orgo computer... That's the future, and we're living it today.
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OpenAI just recreated Samantha from the movie "Her" This means we can finally have agents that do computer work as we talk to them in real time. Imagine the world when your agent creates thousands of versions of itself, each with its own Orgo computer... That's the future, and we're living it today.

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197,694 просмотров • 3 месяцев назад