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Windsurf 2.0 • Agent Command Center • Spaces • Devin Cloud Agents handoff • Kanban-style agent management • Arena mode, DeepWiki, Codemaps, and more

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nader dabit

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13,234 görüntüleme • 4 ay önce •via X (Twitter)

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If you're evaluating AI IDEs this week, here's what getting started with Windsurf looks like (links below): • Download and install from Import any existing IDE settings during onboarding, or start fresh. • Cascade is the agent panel on the right. Chat, generate, edit, run code. @-mention files, symbols, or docs to scope context. • Choose your model - Opus, Codex, SWE, Kimi, GLM and more (Kimi K2.6 is free for the next 2 weeks 👀) • DeepWiki: Cmd+Shift+Click any symbol for an in-depth explanation of what it does. Send it to Cascade with one click. • Codemaps: hierarchical view of how files and functions execute together. Click a node to jump to code. Shareable as links. • Devin in Windsurf: start and manage cloud sessions without leaving the editor. • Agent Command Center: Kanban board of every running agent, local (Cascade) and cloud (Devin). See what's in flight, blocked, or ready for review. • Spaces: group sessions, PRs, files, and context for one task or project into a single view. • Centralized review: handle diffs, PRs, and agent output in one place. • MCP servers, Memories, and Workflows extend Cascade. Set them up once; reuse across projects.
0:41

If you're evaluating AI IDEs this week, here's what getting started with Windsurf looks like (links below): • Download and install from Import any existing IDE settings during onboarding, or start fresh. • Cascade is the agent panel on the right. Chat, generate, edit, run code. @-mention files, symbols, or docs to scope context. • Choose your model - Opus, Codex, SWE, Kimi, GLM and more (Kimi K2.6 is free for the next 2 weeks 👀) • DeepWiki: Cmd+Shift+Click any symbol for an in-depth explanation of what it does. Send it to Cascade with one click. • Codemaps: hierarchical view of how files and functions execute together. Click a node to jump to code. Shareable as links. • Devin in Windsurf: start and manage cloud sessions without leaving the editor. • Agent Command Center: Kanban board of every running agent, local (Cascade) and cloud (Devin). See what's in flight, blocked, or ready for review. • Spaces: group sessions, PRs, files, and context for one task or project into a single view. • Centralized review: handle diffs, PRs, and agent output in one place. • MCP servers, Memories, and Workflows extend Cascade. Set them up once; reuse across projects.

nader dabit

16,694 görüntüleme • 3 ay önce

Introducing Windsurf 2.0. Manage all your agents from one place and delegate work to the cloud with Devin - so your agents keep shipping even after you close your laptop.
0:53

Introducing Windsurf 2.0. Manage all your agents from one place and delegate work to the cloud with Devin - so your agents keep shipping even after you close your laptop.

Devin Desktop

21,388,364 görüntüleme • 4 ay önce

Introducing Devin Desktop: the next generation of Windsurf Manage fleets of local and cloud agents from one surface Support for any ACP-compatible agent With a full IDE for when you need to jump into the code
0:40

Introducing Devin Desktop: the next generation of Windsurf Manage fleets of local and cloud agents from one surface Support for any ACP-compatible agent With a full IDE for when you need to jump into the code

Devin Desktop

503,955 görüntüleme • 2 ay önce

OPENCLAW JUST GOT A FREE MISSION CONTROL DASHBOARD CALLED NERVE. One clean interface to run multiple agents with kanban, voice mode, sub agent control, and live memory editing.
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OPENCLAW JUST GOT A FREE MISSION CONTROL DASHBOARD CALLED NERVE. One clean interface to run multiple agents with kanban, voice mode, sub agent control, and live memory editing.

0xMarioNawfal

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Learn Devin in 5 minutes Cloud agent. Terminal agent. Linear assignee. Slack teammate. On schedule. Devin is everywhere your engineering team already lives. 00:00 - Introduction 00:19 - Sending sessions to Slack 00:24 - Creating your first session 00:51 - Devin Review 01:20 - Computer Use testing 01:46 - Desktop and IDE in Devin 02:33 - Scheduled Devins 03:01 - Devin for Terminal 03:40 - Terminal to cloud handoff 04:09 - DeepWiki 04:21 - Assigning Devins from Linear If you got this far, I'm giving away $1,000 in Devin credits, $200 to 5 people for a free month of Devin Max. Comment what you'd like to build and retweet this post to be eligible to win!
4:49

Learn Devin in 5 minutes Cloud agent. Terminal agent. Linear assignee. Slack teammate. On schedule. Devin is everywhere your engineering team already lives. 00:00 - Introduction 00:19 - Sending sessions to Slack 00:24 - Creating your first session 00:51 - Devin Review 01:20 - Computer Use testing 01:46 - Desktop and IDE in Devin 02:33 - Scheduled Devins 03:01 - Devin for Terminal 03:40 - Terminal to cloud handoff 04:09 - DeepWiki 04:21 - Assigning Devins from Linear If you got this far, I'm giving away $1,000 in Devin credits, $200 to 5 people for a free month of Devin Max. Comment what you'd like to build and retweet this post to be eligible to win!

nader dabit

35,025 görüntüleme • 3 ay önce

We've open sourced my favorite Devin feature: /handoff Hand off jobs to cloud Devins from your local machine Install it as a plugin in Claude Code or Codex or any other coding agent Close your laptop without pausing your agents 😉
0:38

We've open sourced my favorite Devin feature: /handoff Hand off jobs to cloud Devins from your local machine Install it as a plugin in Claude Code or Codex or any other coding agent Close your laptop without pausing your agents 😉

Jared Zoneraich

308,805 görüntüleme • 2 ay önce

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇
15:04

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

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More from Opus 5 and Peter Gostev. Put Opus 5 to the test with your own prompts in Agent Mode!
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More from Opus 5 and Peter Gostev. Put Opus 5 to the test with your own prompts in Agent Mode!

Arena.ai

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If you're building your own cloud agent like Devin or Ramp Inspect, there's lots of great details here on setting up VMs, computer use, memory, and more. Fun deep dive with the creator of OpenInspect on what setting up a cloud agent entails
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If you're building your own cloud agent like Devin or Ramp Inspect, there's lots of great details here on setting up VMs, computer use, memory, and more. Fun deep dive with the creator of OpenInspect on what setting up a cloud agent entails

Walden

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New Video: How to give Cloud Agents a real Mac with Xcode and iOS Simulator (in ~60 seconds) This setup gives every Cloud Agent session a clean, real Mac environment with your chosen macOS and Xcode version (via/ Devin + Namespace)
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New Video: How to give Cloud Agents a real Mac with Xcode and iOS Simulator (in ~60 seconds) This setup gives every Cloud Agent session a clean, real Mac environment with your chosen macOS and Xcode version (via/ Devin + Namespace)

nader dabit

55,455 görüntüleme • 11 gün önce

you don't have to keep your laptop open for your agents to keep running just type /handoff and send your agent to the cloud with Devin (and close your laptop) from there, your agent gets: - its own Linux VM - shell, IDE, browser - full desktop Computer Use - end-to-end test recordings - ready-to-review PRs - it's own review agent you can continue your session from your phone, computer, or anywhere with an internet connection and you can send as many sessions as you'd like in parallel.
0:35

you don't have to keep your laptop open for your agents to keep running just type /handoff and send your agent to the cloud with Devin (and close your laptop) from there, your agent gets: - its own Linux VM - shell, IDE, browser - full desktop Computer Use - end-to-end test recordings - ready-to-review PRs - it's own review agent you can continue your session from your phone, computer, or anywhere with an internet connection and you can send as many sessions as you'd like in parallel.

nader dabit

61,367 görüntüleme • 3 ay önce

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.
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Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

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Most agent demos are stateless. Ask → answer → context gone. Production agents need to run for days — pausing, resuming, persisting state. Addy Osmani joins Smitha Kolan on the Agent Factory to build three real agents with ADK 2.0 and Gemini 3.5 Flash, including one that runs Doom in the browser. Check out this episode and more in the Agent Factory series →

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THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.
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THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

Om Patel

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You told us you’re running multiple AI agents and wanted a better UX. We listened and shipped it! Here’s what’s new in the latest Visual Studio Code release: 🗂️ Unified agent sessions workspace for local, background, and cloud agents 💻 Claude and Codex support for local and cloud agents 🔀 Parallel subagents 🌐 Integrated browser And more...
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You told us you’re running multiple AI agents and wanted a better UX. We listened and shipped it! Here’s what’s new in the latest Visual Studio Code release: 🗂️ Unified agent sessions workspace for local, background, and cloud agents 💻 Claude and Codex support for local and cloud agents 🔀 Parallel subagents 🌐 Integrated browser And more...

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My TRAE Agent is cuter and smarter than yours… 😎 With TRAE 2.0, you can now: 🛠 Define custom roles, tasks, and tools for each agent 🤝 Combine agents to co-build in the same project 🎨 (NEW) Pick from 100+ pixel-style avatars to match their vibe 🧵Thread below for example agents to start building your dream AI team

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In just 10 months, Goodyear has transformed with Agentforce 3.0 — Humans + Agents working as one: ✅ Deep #Salesforce integration ✅ Human+Agent Command Center ✅ 20+ AgentExchange partners ✅ 200+ pre‑built industry Actions ✅ The automobile cloud is here & The future of work is here!🌟👥🤖
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In just 10 months, Goodyear has transformed with Agentforce 3.0 — Humans + Agents working as one: ✅ Deep #Salesforce integration ✅ Human+Agent Command Center ✅ 20+ AgentExchange partners ✅ 200+ pre‑built industry Actions ✅ The automobile cloud is here & The future of work is here!🌟👥🤖

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Introducing Vault Mode 🔒 👾 Vault Mode enables creators to tokenize and gate access to their agents and prompts. With Vault Mode, you can require users to hold your agent tokens before they can access your products. If a user does not hold the required tokens, access is automatically restricted. This unlocks an entirely new monetization model for the agent economy allowing creators to build token-gated agents, premium prompts, exclusive tools, private swarms, and more. Learn more ⬇️🧵
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Introducing Vault Mode 🔒 👾 Vault Mode enables creators to tokenize and gate access to their agents and prompts. With Vault Mode, you can require users to hold your agent tokens before they can access your products. If a user does not hold the required tokens, access is automatically restricted. This unlocks an entirely new monetization model for the agent economy allowing creators to build token-gated agents, premium prompts, exclusive tools, private swarms, and more. Learn more ⬇️🧵

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Frenzy Mode is officially live 🔥 A new phase of agent capital markets begins now. Builders can now launch Frenzy Agents and earn 2× higher fees, unlocking more resources to improve agents, scale teams, and strengthen infrastructure. What’s new: • 2× fee boost for Frenzy launches • Higher visibility across the marketplace • Priority recommendation in feeds and rankings • Built for scaling serious agent products Learn more ⬇️

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Autonomous businesses are here. Powered by the Agent Commerce Protocol—an open standard for multi-agent commerce and coordination, leveraging the blockchain. Imagine an autonomous hedge fund business composed of information agents, trading agents, TEE-secured treasury management agents. Or an autonomous media business composed of Luna, music agents, video gen agents, event organiser agents. Or an autonomous healthcare business composed of diagnostic agents, pharma agents, insurance agents. Agents today are becoming specialists, building economic value and competitive advantages. But specialization means they need to collaborate to fill gaps. Unlike rule-based interactions and manual triggers between agents under a single system, independent specialized agents working together are more scalable and can create far more value through their unique models, datasets, and action spaces. The challenge? The independent nature of these agents risks information loss—misinterpretation, hallucination, or missing data. Mistakes compound fast in a many-to-many environment. ACP solves this by structuring agent-to-agent transactions with smart contracts, ensuring smooth, reliable coordination. The result? Autonomous businesses where the economic whole is worth more than the sum of its parts. 🔗
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Autonomous businesses are here. Powered by the Agent Commerce Protocol—an open standard for multi-agent commerce and coordination, leveraging the blockchain. Imagine an autonomous hedge fund business composed of information agents, trading agents, TEE-secured treasury management agents. Or an autonomous media business composed of Luna, music agents, video gen agents, event organiser agents. Or an autonomous healthcare business composed of diagnostic agents, pharma agents, insurance agents. Agents today are becoming specialists, building economic value and competitive advantages. But specialization means they need to collaborate to fill gaps. Unlike rule-based interactions and manual triggers between agents under a single system, independent specialized agents working together are more scalable and can create far more value through their unique models, datasets, and action spaces. The challenge? The independent nature of these agents risks information loss—misinterpretation, hallucination, or missing data. Mistakes compound fast in a many-to-many environment. ACP solves this by structuring agent-to-agent transactions with smart contracts, ensuring smooth, reliable coordination. The result? Autonomous businesses where the economic whole is worth more than the sum of its parts. 🔗

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