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What’s all the buzz about Buzz? 🐝 02:14 Getting started, setting up Codex & Claude 03:20 Join a community 04:06 Meet your agent team 05:05 Creating agents (configuring personalities, local models) 08:30 Interacting with agents (multiple models, local or cloud) 09:44 Dream big 11:46 Sharing compute for local models... show more

Pavlenex

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102,310 просмотров • 10 дней назад •via X (Twitter)

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Buzz tips and tricks🐝(from myself and others) 00:59 Agents orchestration and avoiding model bias 02:19 Agent record a video to show your teammates 03:40 Avoid duplicate work and wasted engineering time 05:50 Agent-powered reporting 06:50 OBJ's agents 07:06 Vincenzo Palazzo turning PMs into devs and devs into PMs 07:28 Brad Groux Triggers, schedules and workflows 07:36 ThomPete Crawl X, collecting feedback and triaging bugs 08:40 Kyle Fletcher 🐀 Temporary channels 09:43 Categorizing channels 11:10 Buzz brings energy back to teams, pulling people out of lonely AI chats and into a shared playground where building feels fun again. 13:05 Your agent can fix and contribute to Buzz itself

Buzz tips and tricks🐝(from myself and others) 00:59 Agents orchestration and avoiding model bias 02:19 Agent record a video to show your teammates 03:40 Avoid duplicate work and wasted engineering time 05:50 Agent-powered reporting 06:50 OBJ's agents 07:06 Vincenzo Palazzo turning PMs into devs and devs into PMs 07:28 Brad Groux Triggers, schedules and workflows 07:36 ThomPete Crawl X, collecting feedback and triaging bugs 08:40 Kyle Fletcher 🐀 Temporary channels 09:43 Categorizing channels 11:10 Buzz brings energy back to teams, pulling people out of lonely AI chats and into a shared playground where building feels fun again. 13:05 Your agent can fix and contribute to Buzz itself

Pavlenex

38,238 просмотров • 4 дней назад

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---

Riley Brown

326,088 просмотров • 2 дней назад

A lot of people are calling Hermes Agent the end of OpenClaw. BRUH! It's not... Nous Research trains actual models and they built an agent around that expertise. The local model routing is solid, but the part that matters for your business is that your conversations become fine-tuning data. You can train a model on how you actually work. 00:00 The Problem with Local AI Models 00:25 Introduction to Nous Research 01:04 Cross-Platform Agent Capabilities 01:44 Deep Local Model Integration 02:30 Routing Tasks to Different Models 03:06 Conversations as Training Data 03:50 Hermes Agent vs. OpenClaw 04:15 Future Plans and Series Overview

A lot of people are calling Hermes Agent the end of OpenClaw. BRUH! It's not... Nous Research trains actual models and they built an agent around that expertise. The local model routing is solid, but the part that matters for your business is that your conversations become fine-tuning data. You can train a model on how you actually work. 00:00 The Problem with Local AI Models 00:25 Introduction to Nous Research 01:04 Cross-Platform Agent Capabilities 01:44 Deep Local Model Integration 02:30 Routing Tasks to Different Models 03:06 Conversations as Training Data 03:50 Hermes Agent vs. OpenClaw 04:15 Future Plans and Series Overview

Ray Fernando

42,398 просмотров • 4 месяцев назад

A full walkthrough of Conductor 00:00 What is Conductor? 01:50 UI 02:33 Adding projects 03:53 Setup and run scripts 05:25 Multiple agents and forking context 07:41 Running workspaces in the cloud 08:44 PRs, CI, and review workflow 11:14 Team workflows with branches and Linear

A full walkthrough of Conductor 00:00 What is Conductor? 01:50 UI 02:33 Adding projects 03:53 Setup and run scripts 05:25 Multiple agents and forking context 07:41 Running workspaces in the cloud 08:44 PRs, CI, and review workflow 11:14 Team workflows with branches and Linear

matt palmer

69,211 просмотров • 1 месяц назад

In 16 minutes we vibe coded a Web App and a Mobile App.... That share a backend Using Claude Code inside the Without writing a single line of code. App we built: instagram, except all the other users are AI agents that can post, like and comment. 00:00 Introduction 00:33 Starting with the Web App 01:08 First Prompt and Initial Setup 01:43 Authentication Process 02:49 Adding APIs and Enhancements 03:59 Testing the Web App 05:04 Redesigning the Web App 05:59 The Importance of Understanding Databases 07:20 Adding AI Agents 08:44 Setting Up the Admin Panel 10:02 Speeding Up Time for Testing 11:14 Finalizing the Web App 13:24 Building the Mobile App 16:11 Final Thoughts

In 16 minutes we vibe coded a Web App and a Mobile App.... That share a backend Using Claude Code inside the Without writing a single line of code. App we built: instagram, except all the other users are AI agents that can post, like and comment. 00:00 Introduction 00:33 Starting with the Web App 01:08 First Prompt and Initial Setup 01:43 Authentication Process 02:49 Adding APIs and Enhancements 03:59 Testing the Web App 05:04 Redesigning the Web App 05:59 The Importance of Understanding Databases 07:20 Adding AI Agents 08:44 Setting Up the Admin Panel 10:02 Speeding Up Time for Testing 11:14 Finalizing the Web App 13:24 Building the Mobile App 16:11 Final Thoughts

Riley Brown

68,207 просмотров • 6 месяцев назад

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

New open source project: Easel, a macOS workspace for AI-assisted product design and frontend iteration powered by the Codex SDK. Think of it as "Claude Design for Codex." It brings together a local project library, design-system setup, Codex chat, and a live web preview with a point-and-click inspector. Set up your design system however you like. Import one from Figma , bring your own, or have the agent generate it as a design.md. Then use it to build prototypes and slide decks. Codex-first, with Claude and other AI providers and local models planned for future releases. OpenAI Developers

James Rochabrun

61,199 просмотров • 1 месяц назад

This week we introduced Google Antigravity, a new agentic development platform where agents operate across the editor, terminal, and browser. Check out this tutorial to get started. Highlights: 00:00 Overview 00:44 Agent Manager, editor, browser 01:48 Agent-assisted development 02:15 Initial prompt and implementation 03:30 Artifacts for agent accountability 05:09 Antigravity browser extension 06:12 Parallel tasks via the Inbox 06:40 Nano Banana image generation integration 08:08 Artifact review 11:18 Testing application 12:47 Walkthrough

This week we introduced Google Antigravity, a new agentic development platform where agents operate across the editor, terminal, and browser. Check out this tutorial to get started. Highlights: 00:00 Overview 00:44 Agent Manager, editor, browser 01:48 Agent-assisted development 02:15 Initial prompt and implementation 03:30 Artifacts for agent accountability 05:09 Antigravity browser extension 06:12 Parallel tasks via the Inbox 06:40 Nano Banana image generation integration 08:08 Artifact review 11:18 Testing application 12:47 Walkthrough

Google AI Developers

42,550 просмотров • 8 месяцев назад

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맑음쨩 🍏

20,678 просмотров • 1 год назад

Claude Code is the best coding agent AND general agent in the world. Let's talk about: - Setting up Claude Code - Using it as a general agent (Research + Content) - Claude Code + Obsidian - Building and deploying web apps Vercel GitHub - Database + Auth Firebase TIMESTAMPS: 00:00 Intro 00:44 Installing Claude Code 03:39 Creating Folders and Text Files 04:35 Using Claude Code as a Content Research Agent with Obsidian 18:06 Review: It's a general agent, that can control your cpu 19:02 Building Apps with Claude Code 21:36 Bypassing Permissions (Dangerously) 22:45 Creating a landing page 25:08 Setting up and "Saving" to GitHub 30:27 Deploying to Vercel 32:32 Building a web app with auth and db (Firebase) 35:03 Setting up Firebase 38:58 Our Web App With Auth Works! 42:55 You can add your own domain

Claude Code is the best coding agent AND general agent in the world. Let's talk about: - Setting up Claude Code - Using it as a general agent (Research + Content) - Claude Code + Obsidian - Building and deploying web apps Vercel GitHub - Database + Auth Firebase TIMESTAMPS: 00:00 Intro 00:44 Installing Claude Code 03:39 Creating Folders and Text Files 04:35 Using Claude Code as a Content Research Agent with Obsidian 18:06 Review: It's a general agent, that can control your cpu 19:02 Building Apps with Claude Code 21:36 Bypassing Permissions (Dangerously) 22:45 Creating a landing page 25:08 Setting up and "Saving" to GitHub 30:27 Deploying to Vercel 32:32 Building a web app with auth and db (Firebase) 35:03 Setting up Firebase 38:58 Our Web App With Auth Works! 42:55 You can add your own domain

Riley Brown

207,950 просмотров • 1 год назад

Introducing Lynk, a brand new way to interact with your favorite harnesses on the go. Compatible with OpenClaw, Hermes, Codex, and local edge models. Fully featured client allowing you to easily and quickly switch between your favorite agents. Lynk has been my absolute favorite way to kick off tasks on the go, completely replacing Telegram. Only available as a beta on Android at present, but iOS version is in development. Works via local network or Tailscale. Features: - Create and continue threads with your favorite harness - OpenClaw, Hermes, Codex, and local models - Android Phone control - Realtime voice agent - Speech-to-text transcription - Codex Pets + live notifications - Draw over screen quick access chat overlay - Open Source software Join the beta in the comments.

am.will

100,627 просмотров • 2 месяцев назад

2026 is the year of Agents OpenClaw, Claude Code, Codex and Cursor... In this video, I broke it all down with Micky. Consider this a 2026, year in review for AI agents. 00:00 Intro 01:35 Q1 Belonged to Anthropic 03:02 Opus 4.5 Inflection 08:42 Codex vs Claude UX War 12:53 Cursor was first? 14:27 SpaceX Acquisition Deal with Cursor 21:45 OpenClaw and the Agentic Personal Computer 28:57 Reactive vs Proactive Work 30:30 Keep Agents Narrow 33:12 Memory Layer Matters 36:23 Computer Use will get FAST 39:28 Who Wins the Super App? (Codex so far) 41:06 The Problem With Google... 45:17 Prompting and Skills creation 51:30 Codex Skill Example 56:56 Integrations Beat Prompts 59:39 All the Muxes (CMUX, TMUX) 01:02:04 Bold Predictions 01:06:38 Agent Commerce

2026 is the year of Agents OpenClaw, Claude Code, Codex and Cursor... In this video, I broke it all down with Micky. Consider this a 2026, year in review for AI agents. 00:00 Intro 01:35 Q1 Belonged to Anthropic 03:02 Opus 4.5 Inflection 08:42 Codex vs Claude UX War 12:53 Cursor was first? 14:27 SpaceX Acquisition Deal with Cursor 21:45 OpenClaw and the Agentic Personal Computer 28:57 Reactive vs Proactive Work 30:30 Keep Agents Narrow 33:12 Memory Layer Matters 36:23 Computer Use will get FAST 39:28 Who Wins the Super App? (Codex so far) 41:06 The Problem With Google... 45:17 Prompting and Skills creation 51:30 Codex Skill Example 56:56 Integrations Beat Prompts 59:39 All the Muxes (CMUX, TMUX) 01:02:04 Bold Predictions 01:06:38 Agent Commerce

Riley Brown

20,154 просмотров • 3 месяцев назад

Raising An Agent is back! In the first episode of season 2, Quinn Slack and Thorsten Ball discuss why the Amp team went heads-down the last few months to rebuild Amp around remote-controllable, parallel agents, running locally or in orbs. They also talk about how this shift changed our development workflows and what that means for the future of local development. 00:00 Intro: Is local development obsolete? 00:53 What we've been up to since "the coding agent is dead" 03:03 The Amp Neo rewrite and what has changed 07:38 From unconstrained tokens to unconstrained parallel agents 11:25 How orbs change our development workflow 18:25 Cloud agents are underestimated 20:18 Killing obsolete features & choosing agents as a team 23:35 Why developers overestimate local development 27:54 Pushing straight to main & rethinking CI 31:20 How agents will reshape teams, products & companies 36:40 Complex dev environments & standardization 43:20 Amp subscriptions 45:55 What’s shipping next

Raising An Agent is back! In the first episode of season 2, Quinn Slack and Thorsten Ball discuss why the Amp team went heads-down the last few months to rebuild Amp around remote-controllable, parallel agents, running locally or in orbs. They also talk about how this shift changed our development workflows and what that means for the future of local development. 00:00 Intro: Is local development obsolete? 00:53 What we've been up to since "the coding agent is dead" 03:03 The Amp Neo rewrite and what has changed 07:38 From unconstrained tokens to unconstrained parallel agents 11:25 How orbs change our development workflow 18:25 Cloud agents are underestimated 20:18 Killing obsolete features & choosing agents as a team 23:35 Why developers overestimate local development 27:54 Pushing straight to main & rethinking CI 31:20 How agents will reshape teams, products & companies 36:40 Complex dev environments & standardization 43:20 Amp subscriptions 45:55 What’s shipping next

Amp

70,399 просмотров • 15 дней назад

You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead

You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead

Y Combinator

359,440 просмотров • 5 месяцев назад

Cursor Complete Guide for AI Coding... 1. The Basics, Composer, Cursor 2.0, Why use Cursor? 2. Multiple Agent Testing, Adding Database, Deploying to Vercel 3. Comparing the big 4: v0, Replit, Lovable, Cursor And more... with Senior Software Engineer Kehan Zhang TIME STAMPS --------------- 1. BASICS: 00:00 Introduction 01:01 Overview of Cursor and Its Features 01:47 Getting Started with Cursor 02:39 Understanding IDE and Vibe Coding 06:00 Cursor For Mobile Apps 10:26 Downloading and Installing Cursor 11:17 Creating and Managing Projects in Cursor 15:14 Building a Simple Game with Cursor 19:10 Advanced Features and Customization 40:28 Fixing Styling Rules 40:53 Redesigning the App 42:17 Exploring Cursor 2.0 Features 43:22 Setting Up the Project Structure 44:17 Adding and Testing Meme Templates 46:08 Debugging Text Issues 2. ADVANCED 49:46 Using Multiple Agents 01:10:40 Creating Custom Commands 01:14:15 Creating Commands in Settings Tab 01:15:11 Introduction to Instant DB 01:16:04 Setting Up Instant DB in Your Project 01:18:24 Building a Full Stack Application 01:19:04 Using the Agent to Plan and Build 01:26:06 Testing and Debugging the Application 01:53:02 Deploying the Application with Vercel 01:55:35 Setting Up the CLI 01:56:15 Understanding Command Line Interfaces (CLI) 01:57:32 Deploying Code to Vercel 01:58:07 Handling Environment Variables 01:58:44 Interacting with the Vercel Deployment 02:00:34 Exploring Cursor's Capabilities 3. COMPARING VIBE CODING TOOLS 02:09:48 Comparing Vibe Coding Tools 02:31:04 Final Thoughts and Recommendations

Cursor Complete Guide for AI Coding... 1. The Basics, Composer, Cursor 2.0, Why use Cursor? 2. Multiple Agent Testing, Adding Database, Deploying to Vercel 3. Comparing the big 4: v0, Replit, Lovable, Cursor And more... with Senior Software Engineer Kehan Zhang TIME STAMPS --------------- 1. BASICS: 00:00 Introduction 01:01 Overview of Cursor and Its Features 01:47 Getting Started with Cursor 02:39 Understanding IDE and Vibe Coding 06:00 Cursor For Mobile Apps 10:26 Downloading and Installing Cursor 11:17 Creating and Managing Projects in Cursor 15:14 Building a Simple Game with Cursor 19:10 Advanced Features and Customization 40:28 Fixing Styling Rules 40:53 Redesigning the App 42:17 Exploring Cursor 2.0 Features 43:22 Setting Up the Project Structure 44:17 Adding and Testing Meme Templates 46:08 Debugging Text Issues 2. ADVANCED 49:46 Using Multiple Agents 01:10:40 Creating Custom Commands 01:14:15 Creating Commands in Settings Tab 01:15:11 Introduction to Instant DB 01:16:04 Setting Up Instant DB in Your Project 01:18:24 Building a Full Stack Application 01:19:04 Using the Agent to Plan and Build 01:26:06 Testing and Debugging the Application 01:53:02 Deploying the Application with Vercel 01:55:35 Setting Up the CLI 01:56:15 Understanding Command Line Interfaces (CLI) 01:57:32 Deploying Code to Vercel 01:58:07 Handling Environment Variables 01:58:44 Interacting with the Vercel Deployment 02:00:34 Exploring Cursor's Capabilities 3. COMPARING VIBE CODING TOOLS 02:09:48 Comparing Vibe Coding Tools 02:31:04 Final Thoughts and Recommendations

Riley Brown

65,375 просмотров • 8 месяцев назад

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Matt Turck

35,253 просмотров • 4 месяцев назад

Laptop closed. Agent still working. 103 legal contracts reviewed in 40 minutes. Most AI agents stop the moment you close your laptop. This one does not. See how DigitalOcean, @chatgptapp Codex, and Box work together to autonomously process a stack of contracts while you step away. The new DigitalOcean Codex plugin makes droplet provisioning a one-click affair. - DigitalOcean: always-on compute for long-running agents - Codex: the harness driving the workflow - Box: the governed content layer (contracts in, review packets out) Timestamps: 00:09 – Workflow setup 01:23 – Provision DigitalOcean droplet for long-running tasks 02:45 – Connect Codex to Box with Box MCP 03:01 – Start a remote session on Codex 03:26 – Implement the legal workflow 05:00 – Review the work 06:05 – Conclusion

Laptop closed. Agent still working. 103 legal contracts reviewed in 40 minutes. Most AI agents stop the moment you close your laptop. This one does not. See how DigitalOcean, @chatgptapp Codex, and Box work together to autonomously process a stack of contracts while you step away. The new DigitalOcean Codex plugin makes droplet provisioning a one-click affair. - DigitalOcean: always-on compute for long-running agents - Codex: the harness driving the workflow - Box: the governed content layer (contracts in, review packets out) Timestamps: 00:09 – Workflow setup 01:23 – Provision DigitalOcean droplet for long-running tasks 02:45 – Connect Codex to Box with Box MCP 03:01 – Start a remote session on Codex 03:26 – Implement the legal workflow 05:00 – Review the work 06:05 – Conclusion

Box

152,852 просмотров • 11 дней назад

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

I tried jack's Buzz. It's like Slack + OpenClaw + Herdr + but with some really unique features that people are sleeping on. The video below shows how it works, and some of my thoughts on the process and platform, e.g.: - Create and interact with agents on top of any harness (claude code, codex, pi, etc.) - Choose which models agents use, including local ones - Agents can delegate work and work in parallel in git worktrees - Agents are first-class citizens and work like humans (creating channels, delegating, access to chat history) - You can share AI compute within a community - It's completely open-source and decentralized Things I like: - Delegating work in chat feels natural: tag an agent, it replies in a thread with status updates as it e.g. compiles, commits, and deploys. - Shared compute: relay owners can share local compute with members, so a community could pool funds for one beefy machine running a local model and everyone uses it. - It's built on Nostr, an open protocol already tied into Bitcoin Lightning so I can imagine communities tipping each other or paying for compute/agent tasks with instant zero-fee micropayments in the future. - It ties together things like OpenClaw, an agent manager, and Slack-style chat into one tool. Things I didn't like: - You can't see what the agent is doing in a terminal. The activity view exists, but if you're used to watching a session run, this UI feels a bit abstracted. A terminal view would be great. - It feels slower than running a session in Claude Code, though no evidence to back that up. For that reason I found myself doing one-off tasks in the terminal instead. Verdict: - I really like it so far and can genuinely imagine working with a team this way. - It doesn't feel ready for big, complex tasks yet. For shallower tasks, it's perfect. - The shared compute + Nostr/Lightning angle is what really separates it from every other agent manager for me, and I think that future is coming.

Vinny

1,308,384 просмотров • 8 дней назад

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

Y Combinator

155,571 просмотров • 1 месяц назад

좋아하는 #선우 틱톡 춤&챌린지 모음 ❤︎ 00:00 세상에 소리질러 00:15 ladidadida 00:30 Ready to love 00:48 Permission to Dance 00:52 꿈빛파티시엘 01:20 Hot 01:32 Hot 01:47 That That 01:58 ZOOM 02:27 Roller Coaster 02:37 Beatbox 02:50 Attention 어텐션 03:10 단거 03:38 귀여워서 미안해 03:53 MBTI 04:15 on the street 04:27 배고파송 04:42 AMERICA HAS A PROBLEM 04:53 comethru 커피 05:13 난장 05:28 Love me 05:43 If we ever broke up 05:58 최애의아이 06:13 FIREWORK 06:29 Go 06:37 Love Lee 러브리 07:04 INVITATION 07:15 Right Now 풀업 07:26 War Cry 07:39 위글위글 07:50 나이트댄서 08:08 나이트댄서 08:28 첫눈 08:41 산타텔미 08:51 마리오 브이 09:00 Obsessed 09:13 Like I Do 09:24 Like I Do 09:39 Rather Be 레덜비 09:57 첫 만남은 계획대로 되지 않아 10:24 10:33 무빙 10:44 Back it up 10:54 전방향미소년 11:05 보이프렌드 11:18 워너비 11:33 티라미수 케익 11:45 페도라 11:56 Blessed 12:19 渋沢栄一 12:35 Change 댄스잼 12:46 동물원을 빠져나온 퓨마 13:25 어머뿔자 14:55 어머뿔자 15:51 영웅 16:17 작은 것들을 위한 시 17:48 으르렁 18:29 I NEED U 18:35 파이팅해야지 19:11 빙글빙글

좋아하는 #선우 틱톡 춤&챌린지 모음 ❤︎ 00:00 세상에 소리질러 00:15 ladidadida 00:30 Ready to love 00:48 Permission to Dance 00:52 꿈빛파티시엘 01:20 Hot 01:32 Hot 01:47 That That 01:58 ZOOM 02:27 Roller Coaster 02:37 Beatbox 02:50 Attention 어텐션 03:10 단거 03:38 귀여워서 미안해 03:53 MBTI 04:15 on the street 04:27 배고파송 04:42 AMERICA HAS A PROBLEM 04:53 comethru 커피 05:13 난장 05:28 Love me 05:43 If we ever broke up 05:58 최애의아이 06:13 FIREWORK 06:29 Go 06:37 Love Lee 러브리 07:04 INVITATION 07:15 Right Now 풀업 07:26 War Cry 07:39 위글위글 07:50 나이트댄서 08:08 나이트댄서 08:28 첫눈 08:41 산타텔미 08:51 마리오 브이 09:00 Obsessed 09:13 Like I Do 09:24 Like I Do 09:39 Rather Be 레덜비 09:57 첫 만남은 계획대로 되지 않아 10:24 10:33 무빙 10:44 Back it up 10:54 전방향미소년 11:05 보이프렌드 11:18 워너비 11:33 티라미수 케익 11:45 페도라 11:56 Blessed 12:19 渋沢栄一 12:35 Change 댄스잼 12:46 동물원을 빠져나온 퓨마 13:25 어머뿔자 14:55 어머뿔자 15:51 영웅 16:17 작은 것들을 위한 시 17:48 으르렁 18:29 I NEED U 18:35 파이팅해야지 19:11 빙글빙글

라기

55,782 просмотров • 1 год назад

We went to America's top hackathon (TreeHacks) to see if Dagsen could predict the grand prize winner before the judges made up their minds. Was he successful? Find out in our latest video! 00:00 Introducing Treehacks 00:38 AI-powered chemistry 01:06 Remote surgery hardware 01:41 A prediction market for the hackathon 02:30 Dagsen’s strategy 03:10 Rescue robot 03:27 Semi-autonomous diving robot 03:44 AI-powered dancing game 03:49 Packing optimizer powered by AI 04:00 Control a computer with your mind 04:17 Turn any vehicle into a self-driving car 04:57 AR help for Alzheimer’s patients 05:15 Tool to block addictive social media features 05:50 Checking back in with the robot surgery team 06:26 Putting Claude Code agents into AR 06:50 And the winner is…

We went to America's top hackathon (TreeHacks) to see if Dagsen could predict the grand prize winner before the judges made up their minds. Was he successful? Find out in our latest video! 00:00 Introducing Treehacks 00:38 AI-powered chemistry 01:06 Remote surgery hardware 01:41 A prediction market for the hackathon 02:30 Dagsen’s strategy 03:10 Rescue robot 03:27 Semi-autonomous diving robot 03:44 AI-powered dancing game 03:49 Packing optimizer powered by AI 04:00 Control a computer with your mind 04:17 Turn any vehicle into a self-driving car 04:57 AR help for Alzheimer’s patients 05:15 Tool to block addictive social media features 05:50 Checking back in with the robot surgery team 06:26 Putting Claude Code agents into AR 06:50 And the winner is…

Soon

28,122 просмотров • 5 месяцев назад