#Cursor Automations Agentic Coding

Cursor helps you drive. 💻 Claude Code takes the wheel. 👀 The real difference between modern AI tools isn’t the model. It’s who’s in control of the workflow. We break this down step by step at the TowardsAI Academy, from system design to safe execution. This is where AI is heading. ⚙️ #AgentWorkflows #AIBuilders #TowardsAI

Unlock powerful automation with CursorAgents CursorHooks & Skills. Set up an 'afterhours' sub-agent to loop 3-5 times, spawning 3-5 agents each iteration for intense productivity. #AIAutomation #CursorAI #ProductivityHacks #TechTools #AgentAutomation #AIWorkflow #DeveloperTools #FutureofWork

So you want to build an AI agent that accesses the web? Here’s what actually works in production when the web decides to be messy. No flaky scripts that break when someone tweaks a selector. Just durable, reliable automation that your customers can actually count on. Comment “agent” and I’ll DM you the starter template. Tech mentioned: @browserbase @temporal.tech Follow for more deep dives into engineering and tech! #aiagents #webautomation #temporal #browserautomation #browserbase

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

Comment “AGENTS” to get this Github Repo packed with over 4000+ n8n AI Agents. Someone dropped thousands of AI agents and automations into one GitHub repo. These are not basic workflows. They handle real tasks. You get templates for social media. Emails. Databases. CRMs. And more. I tried one last week. Asked it to auto-post to Twitter and LinkedIn. Took two clicks in n8n. Done. Download the JSON files. Plug them in. Ready to go. Here are the numbers: 1. 4,343 Production-Ready Workflows 2. 365 Unique Integrations 3. 29,445 Total Nodes 4. 15 Organized Categories The good news? Smart Search finds what you need fast. Like hunting for a lost key in a drawer. Boom. There it is. Need to browse? Pick from 15+ Categories. By use case. Social media automation. Email blasts. CRM syncs. You name it. Works on your phone too. Mobile ready. Tweak a workflow on the go. Grab JSONs right away. Direct downloads. Think of it like this. Building automations from scratch is like cooking a full meal every time. This repo? It’s your fridge stocked with ready ingredients. Pull one out. Heat it up. Eat. I built a lead gen flow for a client. Pulled a CRM template. Added a few nodes. Client loved it. Saved hours. Perfect for anyone testing AI tools. Or shipping SaaS apps. Fork it. Use it. Improve it. Grab the repo now. #aiagents #n8n #ai #tech #github

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

Best AI Tool for testing automation🔥 Introducing Kane AI- world’s first Generative-AI based automation tool which: ✅Understands your product and then write structured test cases ✅It takes input in simple plain english and translates them into executable test cases ✅It will handle enterprise-level complexities like multiple languages, tech stack, API calls, etc! ✅Lastly it can detect bugs at runtime and auto-heal itself as and when changes are made in the product! Comment “AI” to get the link straight in your DMs! [AI, Automation, Tech, Software Engineering, Deployments, AI Tool] #aitool #ai #softwareengineer #automation #softwaredeveloper

🚀 Big news: We just powered up your AI agents with 12 models from OpenAI, Anthropic, and Google. Intelligence for any task: · Claude Opus 4.5 · Claude Sonnet 4.5 · Claude Haiku 4.5 · GPT-5.2 · GPT-5.1 Codex Max · GPT-4.1 · GPT-5 Nano · Gemini 3 Pro · Gemini 2.5 Flash · and more... Three thinking modes to match your work: ⚡ Standard: Fast responses for everyday tasks 🧠 Thinking: Deep analysis and research 🎯 Reasoning: Complex problem-solving and logic One drop-down gives you access to everything. Your agents, connected to your Workspace DNA. 🧬 Start building → taskade.com/genesis 🤖 Explore agent templates → taskade.com/agents

Comment "AUTOMATION" to get this n8n extension to build AI Automations and Agents automatically with simple text prompts. Stop spending hours building n8n automations and AI agents from scratch. It’s like trying to hand-build a car every time you want to drive somewhere. You don't need to. There’s now n8nchat — a Chrome extension powered by AI that can build your automations and agents just by talking to it. You type what you want. The AI builds it. Done. No endless dragging, no starting from zero. Getting it is simple. Go to the Chrome Web Store. Search for n8nchat. Install it. Then open n8n, activate the extension, and drop in your AI API key. And that’s it — you’re ready to start. Here’s where it gets interesting. You can: 1. Describe your workflow in plain words — it builds it in seconds. 2. Paste a screenshot of any workflow — it recreates it in under a minute. 3. Edit or fix existing workflows — just ask, and it’ll handle it. I tried it last week. I needed to integrate Google Sheets with Slack. Normally, that would take me an hour. With n8nchat, it was done in two minutes. And it worked on the first try. Think of it like having an assistant who understands exactly what you want. You tell it the “what” — it figures out the “how.” Even better, it remembers your previous requests, so edits are quick. The good news? You don’t have to be an n8n expert to use it. You can start creating workflows that actually work… without the usual headache. #n8n #n8nautomation #aiagents #aiautomation #n8nchat #aiextensions #aitools #aiindia #aicommunity #ainews #aicommunity

Cursor launches Automations for 24/7 cloud-based AI coding agents Cursor has introduced Automations, a new system that allows developers to deploy persistent, cloud-based AI coding agents that run continuously and respond to triggers without manual intervention. The feature is available immediately to all Cursor Pro users ($20/month) at no additional cost.

“We tried AI, but it’s just a glorified chatbot.” ❌ If your team is still manually copying and pasting context into a prompt box, you are missing out on 99% of AI’s actual ROI. In 2026, the real leverage isn’t in prompting. It’s in Autonomous Agent Swarms. 🧠⚡ Take a look at the architecture visualization below. This isn’t a single LLM guessing at an answer; it is a 17-node, enterprise-grade digital workforce executing a complex pipeline autonomously. Here is exactly what is happening under the hood: 📡 1. Omni-Channel Ingestion: The system constantly monitors Webhooks, Emails, and Social APIs for high-intent signals. 🧠 2. The Orchestrator: A Master Agent parses the intent and pulls historical context from your private Pinecone Vector DB and Salesforce CRM. 🐝 3. The Swarm: It spawns 5 parallel micro-agents (Web Researchers, Financial Analysts, Vision ML) to execute specific sub-tasks simultaneously. 🛡️ 4. The Safety Net: All synthesized data passes through an automated Fact-Checker, followed by a 1-click “Human-in-the-Loop” Slack approval for zero-hallucination execution. 🚀 5. Multi-Channel Execution: Once approved, the system autonomously dispatches personalized emails, dials an AI voice call, and logs the workflow. No manual data entry. Zero hallucinations. Infinite scalability. This is the difference between playing with AI and actually engineering a defensible business moat. Are you ready to build a digital workforce that executes while you sleep? 🌐 Let’s architect your system: Visit www.lumiadigital.site to book a technical discovery call. #ArtificialIntelligence #AgenticWorkflows #TechStartups #MachineLearning #businessautomation

The best Agentic AI Engineering course for developers is finally out! Become an Agentic AI Engineer who designs production-ready systems and leave with an AI agent portfolio that proves it. Check it out, link in bio!