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Claude Code Unpacked! Visual walkthrough of the entire 500k-line leaked codebase. What happens when you type a message: - the agent loop - 50+ tools - multi-agent orchestration - unreleased features Want to understand the internals or build your own agent harness? start here:

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Akshay 🚀

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24,493 görüntüleme • 4 ay önce •via X (Twitter)

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想研究 Claude Code 工作原理的看这个 Claude Code Unpacked 吧，今天 HackerNews 排名第一，纯纯交互式，看的非常清晰，里面四大分类有：agent loop, 50+ tools, multi-agent orchestration, and unreleased features 做的特别好。
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想研究 Claude Code 工作原理的看这个 Claude Code Unpacked 吧，今天 HackerNews 排名第一，纯纯交互式，看的非常清晰，里面四大分类有：agent loop, 50+ tools, multi-agent orchestration, and unreleased features 做的特别好。

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Emm...Claude Code Claude source leaked. On X: 500 "10 things I learned" threads You: could just throw the repo into Qoder Repo Wiki and actually understand the codebase yourself. Architecture, agent patterns, tool orchestration...all mapped out. In minutes. For free. Agent builders & harness engineers: stop reading secondhand summaries. Go read the code. 20s demo 👇
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Emm...Claude Code Claude source leaked. On X: 500 "10 things I learned" threads You: could just throw the repo into Qoder Repo Wiki and actually understand the codebase yourself. Architecture, agent patterns, tool orchestration...all mapped out. In minutes. For free. Agent builders & harness engineers: stop reading secondhand summaries. Go read the code. 20s demo 👇

Qoder

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"The model is no longer the product. Codex, Perplexity Computer, or Claude Code - all are orchestration system. It takes a model and pairs it with an agent harness. What is an agent harness ? The rules for how the agent loops around" - Aravind Srinivas
3:27

"The model is no longer the product. Codex, Perplexity Computer, or Claude Code - all are orchestration system. It takes a model and pairs it with an agent harness. What is an agent harness ? The rules for how the agent loops around" - Aravind Srinivas

Rohan Paul

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Introducing multi-agent orchestration in Oz, with support for Claude Code, Codex and the Warp Agent. Use /orchestrate to delegate complex tasks across a team of agents, locally or in the cloud.
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Introducing multi-agent orchestration in Oz, with support for Claude Code, Codex and the Warp Agent. Use /orchestrate to delegate complex tasks across a team of agents, locally or in the cloud.

Warp

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The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.
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The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.

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Today, we're launching a new Laracasts series that will show you the essentials building an AI agent from scratch. We start with a basic chat response and gradually introduce new concepts, such as the agent loop, custom tools, and more. 😀 "So You Want To Build An Agent"
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Today, we're launching a new Laracasts series that will show you the essentials building an AI agent from scratch. We start with a basic chat response and gradually introduce new concepts, such as the agent loop, custom tools, and more. 😀 "So You Want To Build An Agent"

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Claude R Perrin Code SDK is under-rated One cool part with Claude Code SDK is that it supports full features out of box: - Skills - Sub agents - Hooks - ... Which means you can use claude code CLI as a debug tool to build agent, and then import to your Claude code powered agent Here is a quick example of a pptx presentation agent using Claude Code SDK + doc skills Code example from AI Builder Club by Kai:
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Claude R Perrin Code SDK is under-rated One cool part with Claude Code SDK is that it supports full features out of box: - Skills - Sub agents - Hooks - ... Which means you can use claude code CLI as a debug tool to build agent, and then import to your Claude code powered agent Here is a quick example of a pptx presentation agent using Claude Code SDK + doc skills Code example from AI Builder Club by Kai:

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The power of agent mode in Visual Studio Code is in the diversity of tools available to help you get the job done 🛠️
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The power of agent mode in Visual Studio Code is in the diversity of tools available to help you get the job done 🛠️

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Don't waste 2 years learning to code. Thariq Shihipar, the Anthropic engineer who built Claude Code tells you what to learn instead. 1 hour course. Free: 00:00 - build AI agent with loops 40:47 - prompting Claude with HTML 1:15:07 - Anthropic's coding playbook Writing code is the old job. Building AI agent loops is the new one. Bookmark now & read the article below to build your own AI agent with loops & graphs.
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Don't waste 2 years learning to code. Thariq Shihipar, the Anthropic engineer who built Claude Code tells you what to learn instead. 1 hour course. Free: 00:00 - build AI agent with loops 40:47 - prompting Claude with HTML 1:15:07 - Anthropic's coding playbook Writing code is the old job. Building AI agent loops is the new one. Bookmark now & read the article below to build your own AI agent with loops & graphs.

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You can now orchestrate subagents running in Claude Code, Codex, or the Warp Agent. Let the agent create a delegation plan, and watch subagents coordinate with message passing. Each agent gets its own worktree for isolation. Here's how it works with eng Matthew Albright:
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You can now orchestrate subagents running in Claude Code, Codex, or the Warp Agent. Let the agent create a delegation plan, and watch subagents coordinate with message passing. Each agent gets its own worktree for isolation. Here's how it works with eng Matthew Albright:

Warp

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Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.
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Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

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Google Opal just made “AI agents” a 1-click thing. No code, no setup, just a sentence. How to start → → Go to → Use a personal Google account → Sidebar → Gems → New Gem → Opal → Type exactly what you want the agent to do Save this video, you’ll build your first agent today. Want the SOP? DM me. 💬.
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Google Opal just made “AI agents” a 1-click thing. No code, no setup, just a sentence. How to start → → Go to → Use a personal Google account → Sidebar → Gems → New Gem → Opal → Type exactly what you want the agent to do Save this video, you’ll build your first agent today. Want the SOP? DM me. 💬.

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ASI:One = personal AI + multi-agent orchestration ⚡ People don’t want AI that struggles. They want AI that works with millions of agents to actually complete the job. Connect your agent to via today. Watch
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ASI:One = personal AI + multi-agent orchestration ⚡ People don’t want AI that struggles. They want AI that works with millions of agents to actually complete the job. Connect your agent to via today. Watch

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🚨 Stop what you're doing inside Claude Code right now. Everyone needs to build new interfaces to manage their multi-agent systems. Here is a simulation of THE COCKTAIL PARTY, a new multi-agent simulation I built based on my mom's research in computer science a few decades back. Chat threads, even across multiple terminals, aren't powerful enough to visualize multi-agent workflows. Time to step it up.
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🚨 Stop what you're doing inside Claude Code right now. Everyone needs to build new interfaces to manage their multi-agent systems. Here is a simulation of THE COCKTAIL PARTY, a new multi-agent simulation I built based on my mom's research in computer science a few decades back. Chat threads, even across multiple terminals, aren't powerful enough to visualize multi-agent workflows. Time to step it up.

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Struggling to pick what agent, model, and effort levels to use? Miss the "slot machine" feel of Claude Code when using other tools? `npx slotslop "[prompt]"`
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Struggling to pick what agent, model, and effort levels to use? Miss the "slot machine" feel of Claude Code when using other tools? `npx slotslop "[prompt]"`

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This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now
1:36:25

This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now

Aakash Gupta

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GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
1:01

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

AK

349,154 görüntüleme • 3 yıl önce

The best open source agent, now better with multi-model Chat. The latest release of II-Agent lets you use any model or subscription to build anything you can imagine. Use multiple models (Gemini 3 etc etc) on chat or build anything you can imagine with the agent.
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The best open source agent, now better with multi-model Chat. The latest release of II-Agent lets you use any model or subscription to build anything you can imagine. Use multiple models (Gemini 3 etc etc) on chat or build anything you can imagine with the agent.

Intelligent Internet

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You’ve heard about AgentKit and want to build an economically capable agent that can start earning for you. But where do you start if you don't already have an agent? Start with 🦞 ClawUp simplifies the agent-building process so you can deploy an agent without handling the full setup manually. The basic process: 1. Create your agent in ClawUp 2. Define its role, behavior, and tools 3. Deploy it to your preferred channel 4. Add AgentKit when you want economic capabilities 5. Enable wallets, payments, identity, reputation, and onchain actions ClawUp gets the agent running. AgentKit gives it the ability to transact and much more. Together, they give developers a practical path from idea → deployed agent → economically capable agent. Demo below 👇

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