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Claude Code is more than a coding agent. It's more like a super smart orchestrator agent. Watch this evaluator loop agent I just built using sub agents and / commands. This is one of the fastest ways to build custom agentic workflows. Claude Code is no joke!

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elvis

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138,463 просмотров • 1 год назад •via X (Twitter)

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Claude Code sub-agents is probably the easiest way to build complex, custom agentic systems. Not just for code, but for anything you can imagine. Watch me build a multi-agent deep research system with Claude Code subagents. Chain subagents with /commands for reliability.
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Claude Code sub-agents is probably the easiest way to build complex, custom agentic systems. Not just for code, but for anything you can imagine. Watch me build a multi-agent deep research system with Claude Code subagents. Chain subagents with /commands for reliability.

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Claude Code is the best coding agent on the market, but there is a catch: you have to keep your terminal open. This is why we built Terragon: use Claude Code as a background 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 Tag is the next evolution of agents. It's a proactive, multiplayer agent with memory and identity, built on top of Claude Code. Learn more about how Claude Tag works and best practices for using it in this deep dive.
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451,706 просмотров • 1 месяц назад

I let Claude investigate itself more and see how agent swarms/multi-agent orchestration works inside Claude Code. This is the skill it extracted:
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I let Claude investigate itself more and see how agent swarms/multi-agent orchestration works inside Claude Code. This is the skill it extracted:

Kieran Klaassen

42,242 просмотров • 6 месяцев назад

There's a built-in agent inside Claude Code you can invoke just by telling Claude to use the claude-code-guide agent Save this... you'll need it It's not a local file in your project. It's a built-in subagent defined in Claude Code's system itself. It answers questions about Claude Code CLI, the Agent SDK, and the Claude API. It uses Glob, Grep, Read, WebFetch, and WebSearch, but can't edit or write files. Its only job is to answer questions.
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There's a built-in agent inside Claude Code you can invoke just by telling Claude to use the claude-code-guide agent Save this... you'll need it It's not a local file in your project. It's a built-in subagent defined in Claude Code's system itself. It answers questions about Claude Code CLI, the Agent SDK, and the Claude API. It uses Glob, Grep, Read, WebFetch, and WebSearch, but can't edit or write files. Its only job is to answer questions.

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57,240 просмотров • 5 месяцев назад

Bloome is actually smart for coding workflows i added Claude Code, Codex, DeepSeek and a Project Lead agent into one group chat each agent independently built their own version one challenged the logic, one defended, one fixed missing details and the final website stayed inside the same thread no copy paste between agents no lost context just one group chat for getting work done Bloome
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I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

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16,518 просмотров • 4 месяцев назад

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Bobby Bobak ☕️🇵🇱

188,532 просмотров • 6 месяцев назад

The person who built Claude Code just explained how he is using it "Now I just have an army of agents that are doing stuff" Only 18 minutes, the best Claude guide on the internet right now. Boris Cherny covered: > how Claude Code is moving beyond just engineers > routines for CI, code review, and daily workflows > why the loop is the next big leap > working with hundreds of agents at once everything is already running through agents, ignoring this is not an option that's exactly why I wrote a full guide on how to build one yourself with Claude Code article below
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Steve Yegge, 40-year engineer (ex-Amazon, ex-Google): "There are 8 levels of using AI. Level 8 isn't a better prompt - it's you building your own orchestrator. Claude Code running Claude Code." we don't need smarter models. we need better loops. 3 productive hours a day. 100x the output. the bottleneck stopped being the model. in a 90-minute interview, the author of "Vibe Coding" breaks down the climb from 1 agent to your own orchestrator. 1 agent + several + 10+ by hand + your own orchestrator - that's the ladder. Worth more than a $500 course on agentic coding. Watch it, then save.
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Steve Yegge, 40-year engineer (ex-Amazon, ex-Google): "There are 8 levels of using AI. Level 8 isn't a better prompt - it's you building your own orchestrator. Claude Code running Claude Code." we don't need smarter models. we need better loops. 3 productive hours a day. 100x the output. the bottleneck stopped being the model. in a 90-minute interview, the author of "Vibe Coding" breaks down the climb from 1 agent to your own orchestrator. 1 agent + several + 10+ by hand + your own orchestrator - that's the ladder. Worth more than a $500 course on agentic coding. Watch it, then save.

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Wait did anyone catch this? Supabase just dropped Agent Skills. Your AI agent stops guessing CLI commands. Starts respecting RLS. Builds on Supabase the way Supabase is meant to be built on Claude Code. Codex. Cursor. One command, every agent. npx skills add supabase/agent-skills

Sam Rome

11,889 просмотров • 3 месяцев назад

this is f**king gold someone mapped the research behind AI agents reviewing other AI agents, including 116 real coding tasks with Claude + Codex the pairing matters more than people think 1. Claude reviewing Codex pushed 71.6% → 89.7% 2. Codex self-review reached 84.5% 3. Codex reviewing Claude dropped 91.4% → 82.8% the graph connects this to self-repair, code review and multi-agent verification the takeaway is simple: the best agent is not always the best reviewer save this before letting one model write the code and approve itself
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this is f**king gold someone mapped the research behind AI agents reviewing other AI agents, including 116 real coding tasks with Claude + Codex the pairing matters more than people think 1. Claude reviewing Codex pushed 71.6% → 89.7% 2. Codex self-review reached 84.5% 3. Codex reviewing Claude dropped 91.4% → 82.8% the graph connects this to self-repair, code review and multi-agent verification the takeaway is simple: the best agent is not always the best reviewer save this before letting one model write the code and approve itself

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You know what's better than Claude Code? 4 Claude Code agents working together Here is my multi-agent setup (and how you can do the same)

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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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Claude Code’s creator “I haven’t coded manually for 8 months. It’s been 100% Claude Code. Right now im runing hundreds of agents with /loops and dynamic workflows.” in just 20 minutes, Boris shows how he designs self-learning agent systems: Loops + dynamic workflows + routines That’s worth more than a $500 course on agent engineering.

Codez

194,039 просмотров • 2 месяцев назад

I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.
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I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

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103,809 просмотров • 2 месяцев назад