171.4K
BUHow to get over 890 AI agent skills into your next project. This is a no-brainer. You have to do this.
@business_with_bob
#Acp Cursor
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33.9K
DA8 AI agents. One orchestrator. Zero me coding.
I just told Claude Code to fix 20 ship-blocking bugs across my entire trading platform — and it spawned 8 specialized
agents in tmux panes that worked simultaneously:
- Django cleanup agent
- LangGraph pipeline fixes
- Risk agent DB migrations
- Tradovate broker integration
- Security hardening
- Prop firm validation
- Frontend fixes
- DevOps config
The lead agent delegates tasks, routes messages between teammates, and tracks completion. I just watched.
This is the future of software engineering.
#ClaudeCode #AgentSwarm #MultiAgentAI #AIAgents #ClaudeAI Anthropic AgentTeams VibeCoding AIEngineering
BuildInPublic CodingWithAI DevTools AIDevTools tmux AutonomousCoding AIOrchestration FuturesTrading FinTech
SoftwareEngineering IndieHacker SoloDeveloper AIMultiAgent LangGraph AgentArchitecture ClaudeSonnet ClaudeOpus
CursorAI AIFirstDev TheFutureIsNow
@dallionking
4.2K
DAComment “SWARM” and I’ll send you the full setup guide for running AI agent teams in your terminal.
Autonomous tool-based AI combined with agent-to-agent communication is quietly becoming the most powerful workflow in software development right now.
Here’s what’s actually happening under the hood:
→ A team lead agent breaks down a task into discrete work items
→ Sub-agents spawn into their own context windows — no shared hallucination
→ Each agent works in parallel across different files in your codebase
→ They message each other directly through an inbox-based protocol
→ When one agent finishes, dependent agents automatically pick up where it left off → A code validator checks everything before it ships
This isn’t theoretical. This is an experimental feature inside Claude Code right now that most developers haven’t touched yet. One environment variable turns it on. Run it inside tmux and you can watch multiple AI instances coding simultaneously in split-screen terminal panes.
The key insight: autonomy without constraints is chaos. But when you give agents specific rules, formatting standards, and validation checkpoints — you get hyper-focused entities that write, refactor, and repeat with precision.
Opus as the orchestrator. Sonnet for sub-agents. Costs stay manageable.
This is A2A. Agent-to-agent protocol meets autonomous tool usage. And it’s running locally in your terminal — no browser exposure, no security surface area.
Full setup guide covers install, configuration, sub-agents, agent teams, six real use cases, cost optimization, and troubleshooting.
Comment “SWARM” to get it.
#aiagents #claudecode #ai #dev #operatoros
@claudeai @operatoros.ai
@daviss.dev
25.1K
LADiscover Agent Skills, the ultimate GitHub repository for Claude Code users! Built by Vercel (the creators of Next.js), this collection of AI coding skills will revolutionise your UI development and deployment workflow.
#agentskills #vercel #claudecode #ai #tech
@lassiecoder
354
BRWatching an AI agent fix its own sign-in issues in real time is wild. I ran into a bug with credentials and GPT 5.3 actually reviewed the code and solved it in less than 3 minutes. This is the power of vibe coding and letting agents handle the tedious troubleshooting. Link in bio to subscribe to BridgeMind for more!
#vibecoding #aiagents #codinglife #automation #tech
#this #that #lets #agent #issue #select #clips #content #creator #viral
@bridgemindai
53.2K
TECursor AI Built a Browser in 7 Days (No Human Coding) 🤯💻
Cursor’s AI Agent Built an Entire Web Browser in 7 Days Non-Stop (No Human Coding) 🤯💻
Cursor just proved something wild: one autonomous AI agent can build real software for an entire week without stopping.
In this experiment, a single AI agent ran non-stop for 7 days—planning, writing code, testing, fixing errors, and iterating—until it produced a browser prototype.
This isn’t just “AI writing a few lines of code”… this is AI doing long-term software engineering like a real developer team.
Experts say it’s still experimental and needs refinement, but the bigger message is clear:
Humans set the vision, and AI agents can do the heavy lifting.
If this is what one agent can do in 7 days… imagine what 100 agents can do in a month. 🚀
🎥 Clip Courtesy: mntruell (X/Twitter)
Cursor AI, AI agent, autonomous coding, browser built by AI, AI software engineering, agentic AI, AI programming, Cursor experiment, future of development, AI automation, developer tools, tech innovation
#AI #CursorAI #AIAgent #ArtificialIntelligence #FutureTech Coding Programming SoftwareEngineering TechNews Automation AIDeveloper TechReels MachineLearning DeveloperTools Productivity
@techie.sapien
116
HTThe secret to letting AI agents ship code at full speed? 🚀
It's called Agentic DevOps, and it has THREE pillars:
✨ ENABLEMENT
Give your agents the tools they need—instructions, custom agents, skills. Set them up for success.
🔒 ENFORCEMENT
Specs, agent hooks, orchestration patterns. Keep your AI on the rails without slowing it down.
✅ FINAL GATE
Your classic DevOps safety net. Test execution, code coverage, PR checks. The last line of defense.
The goal? Build agentic DevOps so solid that your AI can ship with confidence. No more choosing between velocity and safety. 💪
Save this for later! 🔖
#AgenticDevOps #AIDevOps #DevOps #ArtificialIntelligence #SoftwareEngineering #TechInnovation #CodingLife #AIAgents #FutureOfWork #TechTrends #DeveloperLife #CodeQuality #Automation #AITools #MachineLearning #SoftwareDevelopment #TechCommunity #DevLife #Programming #AIAssisted #Innovation #DigitalTransformation #TechEducation #LearnToCode #BuildInPublic #StartupLife #TechTips #AIFuture #DevOpsLife #AgileDevOps
@htekdev
280
HKAI agent does in minutes what took me 60 minutes. Or does it really?
@hkaanturgut
18.1K
AIComment 'Agent' for link and how to use in Vs code.
Cline (formerly Claude Dev) is an open-source, agentic AI coding assistant designed to run directly within your IDE (VS Code, JetBrains, etc.), acting as a autonomous, "headless" programmer that can
read, write, and debug code across your entire project.
Unlike passive autocompletion tools like GitHub Copilot, Cline operates as a true agent, meaning it can take autonomous, multi-step actions to accomplish tasks, such as creating files, running terminal commands, and debugging errors, all while requiring your approval before making any changes.
Key Things Cline.bot Does:
Reads/Writes Entire Codebases: Cline scans your project to understand its structure, allowing it to work on complex, multi-file refactoring or feature implementation.
Executes Terminal Commands: It can run tests, install packages, and execute code, then analyze the terminal output to correct its own errors.
Agentic Planning & Acting: Cline operates in "Plan & Act" mode, where it first analyzes your request, proposes a plan, and then executes it step-by-step.
Browser Automation: Using the Model Context Protocol (MCP), Cline can launch a browser, navigate to your local development site, and interact with it to test frontend code.
Interacts with External Systems: Through MCP servers, it can connect to databases, APIs, and tools like Jira or GitHub.
Provides "Explain Changes": Before finalizing code, it can provide detailed, inline comments explaining why it made certain changes.
Zero-Trust Security: It runs locally with your API keys, meaning your code never touches the Cline server's infrastructure unless you are using their specific, opt-in cloud services.
@aispotter_
4.2K
DAYour AI agent is coding blind.
It’s guessing APIs from memory. Using outdated patterns. Hallucinating functions that don’t exist.
Two tools fix this:
EXA — AI-native search engine. Your agent searches the web in real time. Code examples, research papers, company intel. Not Google results. Neural search that actually understands what you need.
Firecrawl — Web scraper + autonomous research agent. Give it a URL, get clean markdown. Or just say “research this” and it browses the internet on its own. They even have cloud browser sessions now.
Together: EXA finds it. Firecrawl reads it. Your agent builds with real context.
We use this daily for strategy research, documentation, competitive analysis everything goes through EXA and Firecrawl before a single line of code gets written.
One command each to install. Setup guide is in the Discord — give it to your agent and it installs everything for you.
Stop guessing. Start researching.
Comment SIGMA for the Discord link.
—
#claudecode #aiagent #codex #openai #anthropic exa firecrawl mcp modelcontextprotocol aicoding vibecoding
webscrapingai neuralsearch aitools devtools softwareengineering programming buildinpublic airesearch
agenticai codingtools machinelearning techtools saas indiehacker foundertips aidev claudeai codingwithAI
fullstackdev
@dallionking
314
CASkills Are the New Interface
Take notes! This is important. If you are a software company or an integrator and aren’t shipping “agent skills” like Vercel, your software is becoming obsolete. I’m not joking.
TLDR: Software has always evolved by adding abstraction layers—from assembly to languages, frameworks, and cloud APIs. Agent skills are the next layer.
Here is the critical takeaway: Traditional software spreads because developers hear about it, read the documentation, and choose it. Agent-native software spreads because the AI agent already has a “skill” installed and uses that tool by default. The developer never has to consciously choose.
If your competitor ships a skill and you don’t Claude Code will route work to their tools. Not because it was told to, but because it has knowledge of one platform and not the other. This is the new SEO of the internet. It’s about whether you exist in the agent’s knowledge base at all.
Companies not shipping skills right now are writing documentation for a human audience that is rapidly delegating tasks to agents. Skills are the new interface. Vercel is two steps ahead of everyone right now.
Additional Background:
I briefly interned for one of Guillermo Rauch (CEO) startups in 2012 while trying to break into the SF software scene. Even then, his brilliance was obvious. He built Socket.io before the “real-time web” was a thing (which arguably made Node.js famous), Next.js before React server-side rendering was the standard, and Vercel before serverless deployment was mainstream. Now, he’s building the infrastructure layer for AI agents before most people can even define them.
Don’t miss the boat on this. If you don’t understand this concept yet spend time learning it.
@caseysapp
362.6K
ARThis is FREE and you can try it today at rtrvr.ai
Its a browser agent that actually takes action.
Just tell it:
“Apply to all software engineering internships posted in the last 24 hours.”
And watch it go. Tabs open. Forms fill. Resume uploads. All automatic.
But that’s just the start.
Connect it to Claude or ChatGPT and control your browser through conversation. Ask Claude to find the cheapest laptop on Amazon — it opens a tab, searches, and gets you the answer. No clicking required.
Got a Google Sheet with 50 company names? Tell it to look up each one on LinkedIn and pull their info. It’ll run for 30 minutes straight if needed.
And when something’s tricky? Just show it once. Record the steps, save the workflow, and replay it perfectly every time.
This is what agentic AI actually looks like — not chatbots, but software that works for you.
Link in bio to try it out or just go to rtrvr.ai
#AI #Automation #BrowserAgent #RtrvrAI @rtrvrai
@arshgoyalyt
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