#Cursor Ide Agents

Pay attention. These AI vibe coding tools are getting scary good. Cursor just shipped an agent update that’s crushing it for vibe coding

Weekend build of an Enterprise Intel system using a triage agent that selects and assigns work to a team of agent archetypes, using @openai’s recent Agent SDK, WebSearchTool and Responses API. Powerful intelligence and competitor comparison reporting. Took about 50 prompts and Codex only threw 2 errors. Satisfying to spend more time focusing on building and less in AI fixing its own errors. DM me or comment “tool” and I’ll send you a link to use for free and the GitHub repo if you want to build on it.

🚀 Want to build real AI Agents? These are 3 of the most useful GitHub repos developers use to build AI agent systems. Instead of just prompting AI… you can start building autonomous agents that research, analyze and complete tasks. And these 3 repos are just the beginning. There are 50+ powerful AI agent libraries on GitHub most developers don’t know about.

How to get over 890 AI agent skills into your next project. This is a no-brainer. You have to do this.

8 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

Watching AI agents work is wild. There’s a VS Code extension called “Pixel Agents” for Claude Code that turns your terminal into a small virtual office. Every agent becomes a little character working at a desk. When the agent writes code, it types. When it searches files, it reads. When it needs input, a speech bubble pops up. Instead of staring at a blinking terminal, you can literally see your agents working in real time. 👇 Comment “AGENT” and I’ll send you the repo link.

Passing a tool to a model, understanding its response, which comes back as a function call. We examine the list of function calls, including the tool name and the SQL query the model plans to execute.

Comment “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

GitHub finally gets agentic DevOps RIGHT 🎯 Here's what they're doing that nobody else is: 🔹 Agentic CI/CD - Copilot-cli running autonomously in your pipelines 🔹 Agent Detection - Natural language security reviews of what agents are about to do (did it leak secrets? sanity checks!) 🔹 Safe Outputs - True DevOps FOR agents, not just BY agents This is the blueprint for trustworthy AI automation. The agent pushes commits to draft PRs, requires human approval before running workflows, and keeps your default branch protected. 🛡️ The future of software development isn't agents replacing devs—it's agents amplifying what we can do. 🚀 Link in bio for the full breakdown 👆 #GitHub #GitHubCopilot #DevOps #AgenticAI #CICD #SoftwareEngineering #AIAgents #Automation #CodingAgent #TechNews #DeveloperLife #Programming #CodeLife #AITools #FutureOfWork #TechTrends #SoftwareDevelopment #GitHubActions #AIAutomation #DevLife #TechInnovation #CodeReview #BuildInPublic #LearnToCode #TechCommunity #AIRevolution #DevTools #OpenSource #CloudComputing #MachineLearning

Comment 'Agent' for the link InsForgeAI isanopen-source,"agent-native" Backend-as-a-Service (BaaS) platform designed to let AI coding agents (like Cursor, Claude Code, or Windsurf) build and manage your entire application backend for you. Instead of a human developer manually setting up databases or authentication in a dashboard, InsForge provides a "semantic layer" that allows AI agents to perform these tasks autonomously using natural language prompts. Core Functions Autonomous Backend Management: AI agents can create PostgreSQL database tables, set up authentication (like Google or GitHub login), and configure file storage without manual human intervention. Model Context Protocol (MCP) Integration: It uses the Model Context Protocol to give AI agents direct, machine-readable access to your backend's schema, documentation, and state. Context Engineering: It tracks your entire backend structure so the AI doesn't "guess" or create duplicate tables/columns, which reduces hallucinations and errors. Managed AI Gateway: It provides a single interface to access multiple AI models For : software engineers, developers, freelancers #ai #opensourceagent #aispotter

One AI agent is cool. Four agents working together is a game changer. Claude Code is the top tool for vibe coding right now, but your workflow is only as good as the space you build in. We are using BridgeSpace to run agent swarms and build faster than ever. Check out the link in bio to subscribe to BridgeMind for more tutorials! #vibecoding #aiagents #codinglife #techtrends #this #that #like #have #ability #agent #select #clips #content #creator

Watching 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