Best of Automation — 2025

  1. 1
    Article
    Avatar of java_libhuntAwesome Java Newsletter·44w

    7 Habits That Quietly Made Me a 10x Developer (No, Not ChatGPT)

    Seven productivity habits that can significantly improve developer efficiency: automating repetitive tasks through custom scripts and tools, writing code with future maintainability in mind, documenting debugging processes before starting, building personal productivity tools, timeboxing deep work sessions, studying and adapting workflows from successful projects, and conducting weekly solo retrospectives to identify improvements.

  2. 2
    Article
    Avatar of 80lv80 LEVEL·36w

    Level Up Your Coding Skills With This Farming Game

    The Farmer Was Replaced is a farming game that teaches programming through automation. Players use a Python-like language to program drones that handle repetitive farming tasks. The game offers continuous progression rather than isolated levels, making it beginner-friendly while still challenging experienced programmers. It launches October 10 with features like multiple drone support, expanded tech trees, and multilingual support.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    Learn to Use GitHub Actions: a Step-by-Step Guide

    GitHub Actions allows developers to automate, build, test, and deploy their applications directly from GitHub. This guide provides step-by-step instructions for creating GitHub Actions using either the GitHub UI or locally via an IDE. It covers key concepts like workflows, events, jobs, and runners, and includes examples for setting up Node.js, Deno environments, zipping files, and deploying static websites to GitHub Pages.

  4. 4
    Article
    Avatar of medium_jsMedium·42w

    Mastering n8n: Step-by-Step Beginner’s Guide

    A comprehensive beginner's guide to n8n, a visual automation platform that connects apps and automates workflows without coding. Covers setup options (cloud vs self-hosted), understanding the workflow canvas, five types of nodes (trigger, action, logic, code, AI agent), testing and debugging strategies, and building modular systems. Introduces agentic workflows that can reason through context and adapt to changing conditions, with practical examples for social media automation, sales research, data analysis, and personal AI assistants.

  5. 5
    Video
    Avatar of youtubeYouTube·1y

    Build Everything with AI Agents: Here's How

    David Andre demonstrates how to build AI agents even for beginners using n8n, a no-code automation tool. He details the process of setting up triggers, integrating Telegram, and handling both text and voice messages. By adding tools such as Gmail and Google Calendar, he shows how to create powerful AI agents capable of automating various tasks. He also highlights the value of continuous testing and the potential productivity boosts these agents can provide.

  6. 6
    Article
    Avatar of dockerDocker·1y

    Mastering Docker and Jenkins: Build Robust CI/CD Pipelines Efficiently

    Learn how combining Docker and Jenkins can enhance CI/CD pipelines, ensuring consistent environments and faster deployments. The guide covers setup essentials, pipeline configuration, using plugins, optimizing pipelines, and troubleshooting. Key benefits include uniformity from development to production, scalability, and reduced errors.

  7. 7
    Video
    Avatar of networkchuckNetworkChuck·45w

    You NEED to Use n8n RIGHT NOW!! (Free, Local, Private)

    n8n is a powerful open-source automation platform that allows users to create workflows connecting various services and APIs. The tutorial demonstrates setting up n8n both locally and in the cloud, creating automated news aggregation workflows that pull from RSS feeds, integrate AI summarization, and send notifications to Discord. Key features include visual workflow building, extensive service integrations, AI agent capabilities with tools and memory, and the ability to execute system commands for home lab automation.

  8. 8
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·1y

    5 Agentic AI Design Patterns

    Explore five agentic AI design patterns that enhance the effectiveness of AI agents through reflection, tool use, reason and act, planning, and multi-agent approaches. Learn how Firecrawl Extract facilitates web scraping by using simple English prompts to extract clean, structured data. Discover additional resources on machine learning techniques and data science provided by Daily Dose of Data Science.

  9. 9
    Article
    Avatar of daily_updatesdaily.dev Changelog·1y

    Chat with posts using AI

    AI now enhances content consumption by allowing users to interact with posts through smart prompts. Features include pre-filled and custom prompts, offering options like simplifying content, removing fluff, and providing practical examples. These tools enable efficient content breakdown and improved user engagement. Plus users enjoy unlimited access, while free users can try prompts once per post.

  10. 10
    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.

  11. 11
    Article
    Avatar of medium_jsMedium·1y

    7 AI Apps That Are a Must-Have in 2025

    In 2025, several AI apps can significantly boost productivity and efficiency across various tasks. These include HoldSpeak for fast voice-to-text, Vidnoz for creating AI videos quickly, StealthGPT for generating human-like content, Gumloop for workflow automation, Buildpad for product development guidance, Feyman AI for enhancing learning and memorization, and Another Wrapper for building custom AI apps effortlessly.

  12. 12
    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.

  13. 13
    Video
    Avatar of TechWithTimTech With Tim·1y

    I Built a Web Scraping AI Agent From Scratch - It's Insane...

    Building powerful AI applications requires the integration of large language models (LLMs) with real-time data and useful tools. In this post, the author demonstrates the development of an AI travel agent using Python. This agent uses Bright Data APIs for real-time travel data, Google Flights, and hotel information to provide relevant and current recommendations. The post covers the project's architecture, details the steps of web scraping with automated browsers, and explains how the AI processes and combines data to generate personalized travel plans.

  14. 14
    Article
    Avatar of pulumiPulumi·1y

    Python for DevOps

    Python is highly versatile for both quick fixes and long-term infrastructure in DevOps. It excels at building custom solutions and automating tasks using libraries like Django, Flask, Prometheus, Schedule, and Airflow. Additionally, Python supports network analysis with Scapy, security scanning with Bandit, container management with Docker SDK, and infrastructure as code with Pulumi. Combining these tools allows the efficient creation of dashboards, automations, and complex deployments from a single language.

  15. 15
    Video
    Avatar of tiffintechTiff In Tech·1y

    Tech Skills That Will Survive AI Automation

    Despite the widespread belief that AI is replacing tech jobs, research shows that AI is actually creating new opportunities and making certain tech skills more valuable. Key future-proof skills include systems architecture and integration, AI orchestration and prompt engineering, machine learning infrastructure design, data ethics and governance, and human-AI collaboration design. Courses from platforms like Coursera, Udemy, EdX, and Stanford are recommended for upskilling in these areas. Mastering these skills involves understanding the interplay between technology, human needs, and societal implications.

  16. 16
    Article
    Avatar of phProduct Hunt·1y

    Sim Studio - Drag-and-drop AI agent builder

    Sim Studio is a platform that allows users to build AI agent workflows through a user-friendly drag-and-drop interface. It integrates with various platforms like Slack, GMail, Pinecone, and Mistral, enabling the creation of complex workflows without requiring extensive technical expertise.

  17. 17
    Article
    Avatar of addyAddy Osmani·34w

    Give your AI eyes: Introducing Chrome DevTools MCP

    Chrome DevTools MCP is a new tool that connects AI coding assistants to Chrome's DevTools through the Model Context Protocol, allowing AI agents to see, interact with, and debug live web applications in real browsers. The tool enables AI to perform tasks like running performance traces, inspecting DOM elements, monitoring network requests, simulating user interactions, and automatically fixing issues based on actual browser feedback rather than guessing.

  18. 18
    Article
    Avatar of notedNoted·1y

    Go Cron - A Self Hosted Go Based Task Scheduler with GUI

    GoCron is a Go and Vue.js based task scheduler that simplifies job management through YAML configuration. It supports cron scheduling, environment variables, and comes with pre-installed backup software such as Borg, Restic, and Rclone. Installation can be easily managed using Docker Compose. The simple UI allows manual running of jobs and viewing live logs.

  19. 19
    Article
    Avatar of hnHacker News·1y

    Guten: A tiny newspaper printer

    Guten is a customized thermal printer designed to print a tiny newspaper every morning at 7:00 AM. This newspaper includes the user's daily schedule from Google Calendar, a poem, and current news from the New York Times. The author is gauging interest to see if others would consider buying and using it.

  20. 20
    Article
    Avatar of freecodecampfreeCodeCamp·23w

    Learn n8n to Design, Develop, and Deploy Production-Grade AI Agents

    n8n is an open-source visual workflow automation tool for connecting applications, APIs, and AI models. A comprehensive beginner course covers building practical AI agents including email automation, research workflows with OpenAI and Perplexity, and a customer support RAG agent using vector databases like Pinecone. The training includes advanced topics like modular component patterns, multi-workflow builds for coordinating agent teams, and deployment options including cloud, Docker, and self-hosting with local LLMs like Ollama.

  21. 21
    Article
    Avatar of langchainLangChain·46w

    How to Build an Agent

    A comprehensive framework for building AI agents from concept to production, covering six key steps: defining realistic tasks with concrete examples, creating standard operating procedures, building an MVP with focused prompts, connecting to real data sources, testing and iteration, and deployment with continuous refinement. The guide emphasizes starting small with well-scoped problems, focusing on core LLM reasoning tasks first, and treating deployment as the beginning of iteration rather than the end of development.

  22. 22
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·34w

    A 100% Open-source Alternative to n8n!

    Sim is an open-source drag-and-drop platform for building agentic workflows that runs locally with any LLM. The article demonstrates building a finance assistant connected to Telegram using agents, MCP servers, and APIs. It also covers four RAG indexing strategies: chunk indexing (splitting documents into embedded chunks), sub-chunk indexing (breaking chunks into finer pieces while retrieving larger context), query indexing (generating hypothetical questions for better semantic matching), and summary indexing (using LLM-generated summaries for dense data).

  23. 23
    Video
    Avatar of youtubeYouTube·1y

    8 Insane AI Agent Use Cases in N8N! (automate anything)

    Explore eight diverse AI agent use cases with n8n, ranging from data analysis to creating viral shorts. Learn how AI agents can automate tasks, enhance workflows, and provide insights across various domains. This post highlights practical examples and how the AI Foundations community can help you build and implement these agents efficiently.

  24. 24
    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.

  25. 25
    Article
    Avatar of devtronDevtron·1y

    How to scale your CI/CD process in 4 steps

    Scaling a CI/CD process involves more than just adding resources; it requires managing complexity to avoid slow deployments, high failure rates, and developer frustration. This involves understanding the critical stages of CI/CD such as code commit, unit tests, build, and deploy, and integrating tools into a unified platform for simplicity and security. Traditional CI/CD pipelines often fail to scale due to tool sprawl and the limitations of conventional tools. Devtron offers solutions to these challenges by providing a unified CI/CD management platform with features like automated security scanning and efficient resource use, ensuring minimal operational overhead and maximized development productivity.

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