Best of Automation — June 2025

  1. 1
    Video
    Avatar of youtubeYouTube·51w

    Build & Sell n8n AI Agents (8+ Hour Course, No Code)

    A comprehensive 8+ hour course teaching beginners how to build and monetize AI agents using n8n, a visual no-code automation platform. The course covers setting up n8n, understanding the difference between AI workflows and AI agents, connecting to APIs like OpenAI, working with data types and JSON, and building practical automations. The instructor claims to have generated over $500,000 in revenue through AI agent development and provides step-by-step guidance for creating 15+ AI automations during the free trial period.

  2. 2
    Article
    Avatar of communityCommunity Picks·47w

    The #1 Open-Source CRM

    Twenty is an open-source CRM platform that positions itself as a modern alternative to Salesforce. It offers customer data management with import capabilities, customization options, and automation through APIs and webhooks. Key features include task management, email synchronization, company and contact management, search functionality with keyboard shortcuts, and dark mode. The platform is designed for fast-growing companies that need adaptable workflows and full customization control over their customer relationship management system.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·51w

    The Open Source LLM Agent Handbook: How to Automate Complex Tasks with LangGraph and CrewAI

    LLM agents are proactive AI systems that can break down complex tasks, make decisions, and use tools autonomously, unlike traditional reactive chatbots. The guide demonstrates building agents using open-source frameworks LangGraph and CrewAI to automate daily tasks like email summarization and schedule generation. LangGraph provides graph-based workflows for single agents, while CrewAI enables multi-agent collaboration with specialized roles. The tutorial includes practical code examples for creating an email processing agent that extracts meetings and deadlines, then formats them into organized daily schedules. Both frameworks integrate with OpenAI's models and offer structured approaches to agent development without requiring extensive custom code.

  4. 4
    Video
    Avatar of codingwithsphereCoding with Sphere·51w

    Everyone should learn Bash

    Bash scripting is an essential skill for developers that can significantly streamline development workflows. The post demonstrates practical applications through a C project example, showing how to create build scripts that compile and run programs with single commands. It covers advanced features like command-line arguments, conditional logic, and aliases for faster development. Real-world examples include automating multi-command development environments, syncing files across devices, and code generation for languages lacking generics. The author recommends learning core utilities first, then gradually building scripting knowledge through practical projects rather than studying syntax extensively upfront.

  5. 5
    Video
    Avatar of bytegradByteGrad·51w

    How To Self-Host n8n (VPS vs Your Computer)

    Compares two approaches for self-hosting n8n workflow automation software: running it locally on your computer versus using a VPS cloud server. Local hosting offers cost savings, data privacy, and lower latency for local integrations, but VPS hosting provides better uptime, easier collaboration, webhook support, and simpler backup management. Includes step-by-step setup instructions for both methods, with practical demonstrations of installing n8n locally using npx and deploying it on a Hostinger VPS using their pre-configured template.

  6. 6
    Article
    Avatar of communityCommunity Picks·48w

    Lissy93/domain-locker: 🌐 The all-in-one tool, for keeping track of your domain name portfolio. Got domain names? Get Domain Locker!

    Domain Locker is an open-source tool for managing domain name portfolios, providing centralized tracking of domain expirations, SSL certificates, DNS records, and hosting details. It offers automated monitoring with configurable notifications, detailed analytics, and supports both a managed SaaS version and self-hosted deployment via Docker. The application features a comprehensive dashboard for domain visibility, change tracking, uptime monitoring, and cost management across multiple registrars and providers.

  7. 7
    Article
    Avatar of hnHacker News·49w

    A receipt printer cured my procrastination [ADHD]

    A developer with ADHD discovered how to overcome procrastination by applying video game design principles to task management. The key insight involves creating frequent feedback loops by breaking tasks into micro-steps, using physical sticky notes for tangible progress tracking, and eventually upgrading to a thermal receipt printer for automated task printing. The system mimics addictive game mechanics through immediate feedback, easy starting points, and visual progress indicators, resulting in dramatically improved productivity and consistency.

  8. 8
    Video
    Avatar of youtubeYouTube·49w

    How to INSTANTLY Build An AI Agent Army in n8n with Claude

    Claude 4 Opus can automatically generate complete AI agent systems in n8n using a single prompt. The process creates a master orchestrating agent with specialized subworkflows, each equipped with relevant tools like Slack, ClickUp, and Airtable. By providing business descriptions and tool specifications, users can generate functional JSON workflows in minutes without coding. The system leverages Claude's extended thinking and web search capabilities to create valid, importable workflows with proper tool connections and error handling.

  9. 9
    Article
    Avatar of n8nn8n·51w

    Run N8N for 1$/month instead of 28$ (+ more features)

    Self-hosting n8n on a VPS costs only $1/month compared to $28/month for the SaaS plan, while providing unlimited workflows instead of the 5-workflow limit on the paid cloud plan. This approach offers significant cost savings and removes usage restrictions for automation workflows.

  10. 10
    Article
    Avatar of communityCommunity Picks·50w

    Claude Code is My Computer

    A developer shares their experience using Claude Code with full system permissions for two months, demonstrating how it transformed their workflow from simple coding assistance to complete system automation. The setup handles everything from content migration and code commits to system configuration and machine setup, saving approximately an hour daily despite potential security risks.

  11. 11
    Article
    Avatar of itnextITNEXT·47w

    How to Start Your Own MCP Server with n8n

    n8n version 1.88.0+ includes built-in Model Context Protocol (MCP) support, allowing users to expose workflows as AI-usable tools through MCP Server Trigger nodes and connect to other MCP servers via MCP Client Tool nodes. The guide covers setting up MCP endpoints, configuring authentication, exposing tools, and connecting with AI agents, all without requiring additional installations or Docker images.

  12. 12
    Video
    Avatar of webdevcodyWeb Dev Cody·50w

    Cursor just got a major update

    Cursor 1.0 introduces several major features including background agents that can perform concurrent code refactoring tasks, bugbot for automated code review in pull requests, memory functionality to learn coding preferences, and enhanced MCP tool integrations. The background agent feature allows developers to delegate smaller tasks while focusing on main work, though it uses expensive premium models. Bugbot automatically reviews pull requests for potential issues, while the memory system learns individual coding preferences per project.

  13. 13
    Article
    Avatar of ralphnexRalphNex·49w

    I was tired of scam calls, so I built an AI that messes with them 😘

    A developer built an AI-powered call screening service that automatically answers unwanted calls, classifies them as scam or legitimate, and sends WhatsApp summaries for legitimate calls with action items. The service acts like an intelligent voicemail system that can interact with callers and filter out telemarketers while ensuring important calls aren't missed.

  14. 14
    Video
    Avatar of aidotengineerAI Engineer·48w

    Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex

    Jerry Liu from LlamaIndex presents a framework for building AI agents that automate knowledge work over unstructured documents. He distinguishes between assistive agents (chat interfaces that help humans get information) and automation agents (background processes that handle routine tasks). The approach requires a comprehensive document toolbox with parsing capabilities for complex PDFs, Excel sheets, and other formats, plus appropriate agent architectures ranging from constrained to unconstrained workflows. Real-world applications include financial due diligence, enterprise search, and technical data sheet processing, with LlamaIndex providing cloud services for document parsing that outperform existing benchmarks.

  15. 15
    Video
    Avatar of youtubeYouTube·50w

    How to Build AI Agents in n8n for Beginners! (Full n8n Guide)

    A comprehensive beginner's guide to building AI agents using n8n, covering the fundamentals of workflow automation, the difference between automations and agents, and hands-on tutorials for creating weather reporting agents. The guide walks through setting up triggers, actions, HTTP requests, code nodes, and integrating AI models with tools like OpenAI and Gmail to create dynamic, conversational agents that can perform tasks and access external data sources.

  16. 16
    Article
    Avatar of communityCommunity Picks·48w

    Cluely

    Cluely is an AI assistant that monitors your screen content and audio in real-time to provide contextual answers and support. It operates invisibly during meetings and work sessions, analyzing what you see and hear to deliver relevant information without appearing in recordings or shared screens. The tool aims to help with coding, presentations, meetings, and research by understanding context and providing instant responses through a simple key press.

  17. 17
    Article
    Avatar of industrialempathyIndustrial Empathy·51w

    The no-nonsense approach to AI agent development

    A practical guide to building AI agents that focuses on manual prototyping first, then automating the workflow with structured code. The approach emphasizes using traditional programming for deterministic tasks while leveraging LLMs only for judgment-based decisions. Key steps include simulating the agent manually with real inputs, building automation loops with plain code, and optimizing for reliability through iterative testing and evaluation.

  18. 18
    Article
    Avatar of tdsTowards Data Science·49w

    Agentic AI 103: Building Multi-Agent Teams

    Multi-agent AI systems outperform single generalist agents by using specialized agents that focus on specific tasks. The article demonstrates building a team of AI agents using the Agno framework - a Writer agent that researches and creates Instagram captions, and an Illustrator agent that generates image prompts. The Team class coordinates these specialists, with each agent using dedicated tools like DuckDuckGo search. The approach shows how to avoid overwhelming agents with too many tools by creating focused specialists that collaborate through a coordinator.

  19. 19
    Article
    Avatar of aiAI·49w

    AI Cursor Init - Stop writing docs, start generating them!

    AI Cursor Init is a zero-installation documentation framework that integrates directly into IDEs to automatically generate technical documentation. It uses AI to analyze codebases and create Architecture Decision Records, system diagrams, and onboarding guides through simple slash commands. The tool emphasizes security through static analysis and maintains documentation that stays synchronized with code changes.

  20. 20
    Video
    Avatar of dreamsofcodeDreams of Code·51w

    This is perhaps my favorite thing I've built with A.I. so far...

    A developer shares their experience building an AI-powered system to automatically convert video content into formatted blog posts. The solution uses Whisper CPP for local transcription, integrates with PostgreSQL via Neon's MCP (Model Context Protocol) server, and allows interactive refinement through Claude Desktop. The system saved approximately 120 hours of manual work by automating the conversion of 120 course lessons into written guides, while maintaining data safety through database branching.

  21. 21
    Article
    Avatar of faunFaun·47w

    Why Prompting is a Core DevOps Skill

    Large language models are transforming DevOps by enabling engineers to generate infrastructure code, CI/CD pipelines, and automation scripts through natural language prompts instead of manually writing complex configurations. This shift from "Infrastructure as Code" to "Infrastructure as a Conversation" offers benefits beyond speed, including consistency, accelerated learning, and creative freedom. The author demonstrates how a simple prompt can replace hours of manual work, such as generating a complete GitHub Actions workflow in minutes rather than the traditional multi-hour process of copying, modifying, and debugging YAML files.

  22. 22
    Article
    Avatar of spaceliftSpacelift·51w

    Automation with Ansible AWX [Step-by-Step Guide]

    Ansible AWX is an open-source web-based interface for Ansible automation that provides a centralized dashboard for managing playbooks, inventories, credentials, and job templates. The guide covers AWX's key features including role-based access control, job scheduling, and notifications, while explaining its relationship to Red Hat's Ansible Automation Platform. It provides a comprehensive step-by-step walkthrough of setting up AWX using Docker Compose, creating inventories and projects, configuring SSH credentials, building job templates, and executing playbooks to automate Nginx installation on Ubuntu servers.

  23. 23
    Article
    Avatar of surmaSurma·49w

    LangGraph for complex workflows — surma.dev

    LangGraph enables building complex workflow architectures with cyclic patterns that LangChain's DAG-based approach cannot handle. The library supports local LLM orchestration, agent clusters, and multi-step automations through graph-based state management. Key features include structured responses, tool integration, conditional edges for loops, and parallel node execution with reducers for state reconciliation. The tutorial demonstrates building ReAct agents that can perform multi-step reasoning and tool invocation cycles.

  24. 24
    Article
    Avatar of infoqInfoQ·50w

    Opera Unveils Opera Neon: A New Browser Built Around AI Agents

    Opera launched Opera Neon, a browser that integrates AI agents to go beyond traditional web browsing. It features three core functions: Chat for conversational assistance, Do for automating web tasks like form filling and purchases, and Make for generating content like websites and code. The browser uses both local processing for basic tasks and cloud-based virtual machines for complex operations. Opera positions this as 'agentic browsing' where the browser actively helps users accomplish goals rather than just displaying content. The product is available as a premium subscription with early access through a waitlist.

  25. 25
    Video
    Avatar of youtubeYouTube·47w

    Build Your First AI Agent in 30 Minutes (No Coding)

    A step-by-step tutorial demonstrating how to build AI agents using Make.com without coding experience. The guide covers creating a personal assistant agent that can plan daily schedules by accessing Google Calendar, summarize and reply to emails through Gmail integration, and answer general questions using Google's Gemini AI. The tutorial shows how to set up scenarios with drag-and-drop functionality, create Telegram bot interfaces, use routers for conditional logic, and integrate multiple tools into a single AI agent capable of handling various tasks.

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