Best of Automation — December 2025

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freeCodeCamp·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.
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Article
Lobsters·24w
Use Python for Scripting!
Python 3 offers significant advantages over shell scripts for automation tasks, particularly for cross-platform compatibility. While Bash scripts often fail between Linux and Mac due to GNU vs BSD tool differences, Python's standardized library works consistently across systems. Python provides better readability with human-readable method names, a comprehensive standard library covering JSON, HTTP, and data structures, and is pre-installed on most machines. The article demonstrates practical examples comparing Bash's cryptic syntax with Python's clearer alternatives, recommending Python for scripts that grow beyond 10-20 lines or become difficult to maintain.
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Article
WebCraft·22w
No-Code Is Dying And Honestly, It’s About Time.
No-code platforms are evolving from simple drag-and-drop tools into sophisticated development engines that complement rather than replace traditional coding. Modern no-code tools now offer custom databases, API integrations, advanced workflows, and extensibility through code blocks, making them valuable productivity multipliers for developers building internal tools, prototypes, and automation layers. The integration of AI assistants is accelerating this transformation, enabling both technical and non-technical users to build faster while blurring the lines between no-code and low-code development.
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Article
selfh.st·24w
dockcheck: A CLI Tool for Updating Container Images
dockcheck is a CLI tool that checks for Docker container image updates without pulling images first. It supports parallel processing, automatic updates, exclusion filters, and notifications via multiple channels (Matrix, Telegram). Configuration is handled through flags or a config file, with Docker Compose labels for fine-grained control. The tool can be scheduled via cron for automated update workflows, with options to delay updates until releases stabilize. Community contributions have added integrations for Prometheus, Zabbix, Unraid, and Synology DSM.
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Article
Claude·23w
Making Claude a better electrical engineer
Anthropic partnered with Diode Computers to improve Claude's ability to auto-generate electrical circuit board reference designs from chip documentation. The collaboration focused on teaching Claude to work with Zener, a domain-specific language for PCB schematics, and to interpret dense technical documentation. Claude Sonnet 4.5 now produces reference designs preferred by electrical engineers 8 out of 10 times compared to earlier versions, better capturing documentation nuances and following toolchain conventions. This demonstrates how domain experts can collaborate with Anthropic to enhance Claude's performance on specialized technical tasks.
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Product Hunt·24w
BrowserBook: The Browser Automation IDE
BrowserBook is an AI-powered IDE that combines a Jupyter-style notebook interface with an inline browser and context-aware coding assistant for building Playwright-based browser automations. It addresses common issues with browser agents (cost, speed, reliability, debugging) by shifting AI assistance to the coding phase rather than execution. Key features include interactive browser testing, notebook-style cell execution, DOM-aware code suggestions, built-in authentication management, screenshot tools, data extraction helpers, and API deployment capabilities for production use.
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Hacker News·21w
Salesforce regrets firing 4000 experienced staff and replacing them with AI
Salesforce executives publicly admitted they overestimated AI capabilities after laying off 4,000 customer support staff in 2025. The company reduced its support workforce from 9,000 to 5,000 employees, expecting AI to handle customer conversations at scale. However, automated systems struggled with complex issues, leading to declining service quality and higher complaint volumes. CEO Marc Benioff walked back earlier confidence, acknowledging human expertise remains critical. The company lost institutional knowledge and faced hidden costs as remaining staff had to supervise and correct AI outputs. Salesforce now reframes its strategy toward AI augmentation rather than replacement, admitting some reductions were premature.
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Video
Oxylabs·23w
n8n Web Scraping: Complete Automation Guide
n8n enables no-code web scraping through its visual workflow builder. The platform offers multiple approaches: basic HTTP Request and HTML nodes for static sites, Markdown conversion for AI processing, and third-party tools like Oxylabs AI Studio for JavaScript-heavy pages. Workflows can be configured with error handling, retry logic, and rate limiting. Scraped data integrates directly with databases, spreadsheets, and LLMs. Both cloud-hosted and self-hosted deployment options are available, with self-hosted being free but requiring infrastructure management.
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Article
Vercel·23w
Build smarter workflows with Notion and v0
v0 now integrates with Notion through MCP, allowing teams to build dashboards, prototypes, and tools directly from their Notion databases and documents. The integration supports both read and write access, enabling v0 to generate content based on existing Notion data and write results back to the workspace. Teams can create event dashboards, product prototypes from PRDs, content workflows, and project summaries without switching between tools. The v0 team uses this integration to manage their event tracking, consolidating what was previously a fragmented multi-tool process into a single prompt-driven workflow.
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swizec.com·24w
How good engineering unlocks fast scaling
Manual processes that work early on become bottlenecks as companies grow. A four-step framework helps engineers automate repetitive work: do the task manually first, document it as a standard operating procedure, convert stable procedures into scripts, and finally build self-service tools for non-engineers. This progression removes engineering as a blocker, empowers other teams to self-serve, and frees up time for high-value work. Real examples include building a CMS for appointment types that saved a month of engineering work annually.
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Prismic·23w
Agent Lab: Building a Hybrid Team of Humans and AI Agents
A marketing team experimented with building AI agents to create a hybrid human-AI workforce over one quarter. They used n8n as their primary automation platform, structured the project with dedicated channels and weekly check-ins, and built various agents including an executive briefing agent, content workflow system, and LLM benchmarking tool. Key learnings included: not everything needs full autonomy (simple workflows often work better), tool integration is harder than expected, scoping down is critical for success, and understanding processes deeply before automating is essential. Some agents became valuable company-wide tools while others served mainly as learning exercises.
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Valdemar·25w
OpenAGI launched something interesting - Lux
OpenAGI released Lux, a foundation AI agent that controls computers through screenshots and action sequences rather than text. It outperforms competing solutions from OpenAI, Google, and Anthropic on real-world tasks (83.6% vs 69% for Gemini CUA), operates faster (~1 second per step), and costs 10× less. Unlike browser-only alternatives, Lux works across desktop applications including Excel, Slack, Adobe products, and IDEs. The model is available via API and SDK, with Intel collaboration underway for local laptop optimization.
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Video
Lawrence Systems·23w
n8n 2.0 Docker Setup in 5 Minutes
n8n 2.0 can be deployed using Docker in minutes by setting up a Docker Compose configuration with PostgreSQL, configuring environment variables for passwords and encryption keys, creating bind mount directories with proper permissions, and running the container. The setup includes configuring a reverse proxy, setting timezone and webhook URLs, and optionally starting with workflow templates for automation tasks like backing up workflows to Google Drive.
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Article
Justin Searls·22w
It just dawned on me that I can write an…
Apple's iCloud Shortcuts can now integrate with cloud-based GPUs to perform complex AI tasks for free, yet still lacks basic programming constructs like if-else blocks. This highlights the paradox of modern automation tools offering advanced AI capabilities while missing fundamental control flow features.
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Video
Hiten Shah·25w
How a gambling startup is outsmarting the government (for now)
Kalshi operates as a federally regulated prediction market platform processing $1B monthly by exploiting a legal loophole that classifies event contracts as commodities rather than gambling. The platform charges transaction fees (1-3.5%) instead of taking house odds, enabling users to trade yes/no contracts on events. Technical arbitrage opportunities exist through automated scripts that exploit streaming delays. After securing CFTC approval in 2020 and winning a lawsuit to enable political betting, the platform expanded into sports markets, creating regulatory tensions with states losing tax revenue.
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