Best of Automation — October 2025

1
Article
Daily 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).
156
7
2
Article
Faun·31w
My n8n Journey: From Zero to Building AI-Powered Tools
A developer shares their journey learning n8n workflow automation from scratch, starting with simple weather API integrations and progressing to building Quik8n, a Chrome extension that uses AI to generate n8n workflows. The post includes practical learning resources, a step-by-step workflow creation methodology, and advice for beginners to experiment with the self-hosted version. The author emphasizes community learning, iterative development, and the value of hands-on experimentation in mastering automation tools.
119
4
3
Article
Hacker News·32w
microsoft/amplifier
Microsoft released Amplifier, an experimental development environment that enhances AI coding assistants with 20+ specialized agents, a knowledge extraction system, parallel worktree workflows, and automatic conversation transcript preservation. The tool provides pre-loaded patterns, context management, and automation to transform AI assistants into more capable development partners. It requires Python 3.11+, UV, Node.js, and works primarily in WSL2, though it's explicitly marked as early-stage research software with no stability guarantees or official support.
116
2
4
Article
LangChain·33w
Not Another Workflow Builder
LangChain's CEO explains why they haven't built a visual workflow builder despite frequent requests. The argument centers on workflow builders being squeezed from two directions: simple use cases are better served by no-code agents (prompt + tools), while complex scenarios require code-based workflows like LangGraph. As AI models improve, the middle ground for visual workflow builders shrinks—agents handle more complexity reliably, and code generation lowers the barrier for building sophisticated workflows. The focus should shift to making no-code agents more reliable and improving code generation for LLM-powered systems.
64
1
5
Article
Gusto Engineering·32w
Productivity Habits
Practical strategies for improving developer productivity through three core habits: staying unblocked by working on tasks in parallel and maintaining a breadth-first approach, reducing debugging time by building mental maps of codebases and investing in proper logging, and maximizing efficiency by mastering versatile tools and automating repetitive tasks with AI assistance.
55
5
6
Article
Hacker News·31w
Replacement.AI
A satirical piece critiquing AI companies' approach to automation and workforce replacement. The fictional 'Replacement.AI' company openly admits to building systems designed to eliminate human workers rather than augment them, mocking common AI industry rhetoric about safety, empowerment, and responsible development. The satire extends to a fictional AI product for children called HUMBERT, highlighting concerns about AI's impact on child development and family relationships.
52
6
7
Article
Code Like A Girl·30w
The Moment I Realized Technology Had Finally Caught Up to How Humans Actually Work
Modern AI-powered tools are eliminating workplace friction by adapting to natural human communication patterns rather than forcing users to learn rigid technical interfaces. The shift from machine-centric to human-centric design enables asynchronous collaboration, contextual information retrieval, and automated routine tasks, allowing knowledge workers to focus on judgment and creative problem-solving instead of manual data management.
49
1
8
Article
rryyqn·31w
ChatGPT Atlas. The AI browser.
OpenAI launched ChatGPT Atlas, an AI-integrated web browser that enables instant AI assistance through text highlighting, remembers browsing context, and offers AI agent capabilities for paid users to automate tasks like booking trips and sending emails. The browser aims to make AI more accessible during web browsing with customizable privacy settings.
45
23
9
Article
Reinier·32w
Full Stack AI Automation SaaS | Next.js, React, Better Auth, Polar | Full Course 2025
A comprehensive tutorial for building Nodebase, a workflow automation platform featuring a visual drag-and-drop canvas, multiple AI provider integrations (OpenAI, Claude, Gemini), trigger nodes for webhooks and third-party services, background job execution with Inngest, and a complete SaaS infrastructure including authentication with Better Auth, payment processing via Polar, error tracking with Sentry, and AI-powered code reviews using CodeRabbit. The stack includes Next.js 15, React Flow, Prisma ORM with Neon Postgres, TypeScript, and tRPC for type safety.
45
1
10
Article
Linear·31w
Self-driving SaaS: When software runs itself
AI is transforming project management software from passive tools requiring constant human input into autonomous systems that proactively move work forward. Instead of chatbots that simply respond to prompts, self-driving software can automatically extract customer requests, assign issues, update documentation, and even dispatch simple changes to coding agents. Linear is building toward this vision with progressive levels of autonomy—from basic suggestions to full automation—allowing teams to focus on strategic decisions while the system handles routine tasks independently.
44
1
11
Article
Buildkite·33w
Introducing Test Engine Workflows
Buildkite Test Engine now includes workflows, a feature that automatically detects flaky tests using configurable monitors (transition count, passed on retry, probabilistic flakiness) and triggers custom actions like labeling, muting, sending notifications to Slack, or creating Linear issues. Teams can apply tag filters to monitor specific branches and create separate workflows for different test types or environments. The feature is available in public preview for Pro and Enterprise customers, with up to three workflows per suite.
41
12
Article
The Register·30w
AI layoffs to backfire: half quietly rehired at lower pay
Forrester predicts that half of AI-attributed layoffs will be reversed, with 55% of employers regretting workforce cuts made in anticipation of AI automation. Many companies are laying off workers based on future AI promises rather than actual automation capabilities, with research showing AI agents achieving only 58% success rates on single-step tasks. Organizations like Klarna and Duolingo have already walked back aggressive AI strategies, while companies like Salesforce and Amazon continue cutting thousands of jobs citing AI efficiency gains.
35
8
13
Video
EO·32w
The best UI is no UI
Explores the concept of ambient technology where user interfaces become invisible. Using autonomous vehicles as an example, the piece argues that payment, identity, and authentication systems should operate seamlessly in the background without requiring explicit user interaction or approval prompts. The vision is to eliminate human-in-the-loop requirements to achieve truly frictionless experiences.
33
9
14
Article
Elevate·31w
Gemini CLI Tips & Tricks
Comprehensive guide covering 30+ advanced techniques for using Gemini CLI, Google's open-source AI terminal assistant. Covers persistent context with GEMINI.md files, custom slash commands, MCP server extensions, memory management, checkpointing for rollbacks, file and image referencing with @ syntax, on-the-fly tool creation, system troubleshooting, YOLO mode for auto-approval, headless scripting, and session management. Includes setup instructions, authentication options (free Google account or API key), and practical examples for coding tasks, debugging, content generation, and workflow automation.
32
15
Article
WeProDev·32w
Make yourself redundant as an engineer.
Engineers should deliberately automate their workflows and leverage AI to handle routine tasks. This process reveals which skills remain irreplaceable and where the market values engineers most, ultimately identifying areas of unique professional value.
29
14
16
Video
Fireship·32w
How to make vibe coding not suck…
Model Context Protocol (MCP) servers provide a standardized way for AI coding assistants to interact with external systems, tools, and APIs. Seven essential MCP servers are highlighted: Svelte for proper framework code generation, Figma for design-to-code conversion, Stripe for API integration, Sentry for error monitoring, Atlassian/GitHub for issue management, cloud providers (AWS, Cloudflare, Vercel) for infrastructure provisioning, and custom-built servers for specialized needs. These tools aim to make AI-assisted coding more reliable and deterministic by giving AI agents access to accurate documentation, live data, and automated workflows.
28
1
17
Article
Noted·32w
How I Organize My Self-Hosted Apps and Dev Environment
A practical guide to organizing self-hosted infrastructure using Proxmox for virtualization, Docker containers managed through Komodo, automated backups with Proxmox Backup Server, and monitoring via Grafana. The setup includes ByteStash for code snippets, Docmost for documentation, and n8n for workflow automation. The author shares lessons learned about maintaining a clean, scalable homelab environment while avoiding common pitfalls like over-reliance on application dashboards.
21
2
18
Article
Reinier·30w
Claude Code Skills: Automate Everything You Do
A resource offering a cheat sheet for Claude Code that includes keyboard shortcuts, custom setup instructions, and power-user workflows to help developers automate their coding tasks more efficiently.
13
19
Video
Tech With Lucy·32w
Cloud Layoffs explained…
Tech companies are reducing traditional engineering roles while investing heavily in AI infrastructure, with predictions that 40% of companies will see AI-related workforce reductions by 2030. Major tech leaders like Microsoft and Meta report significant portions of their code now being written by AI, creating what's called the AI paradox where the industry grows while traditional roles shrink. The cloud industry is transforming rather than dying, requiring engineers to adapt their skills to remain relevant.
12
1
20
Article
SD Times·32w
Sabotage won’t save your job in the age of AI—but mastery will
Nearly one-third of employees actively sabotage their company's AI initiatives, contributing to the 80% failure rate of corporate AI projects. Drawing parallels to the Industrial Revolution, the piece argues that resistance to AI in QA—such as clinging to manual testing methods—is futile. Instead, QA professionals should master AI-powered testing tools that can generate thousands of test scripts autonomously, expanding coverage 10X and finding more bugs. Those who learn to command AI tools will become indispensable, while those who resist will be left behind.
11
1

See all Automation archives