
automation

A few months ago I started posting on Dev.to about my side projects. It was fun at first — writing about GPU rentals, Telegram bots, local AI setups. Then life got busy and the cadence dropped. Deadlines slip, the "write that post" todo sits there for weeks, and the audience you built starts forgetting you exist. So I did what any developer would do: I automated it. The Setup I have an AI agent (…
Everyone's building automation with n8n, but most of it doesn't actually work in production. Your workflow handles 60% of cases perfectly. Then reality hits an edge case and the whole thing breaks. It's either a customer's message doesn't match your expected pattern, or a decision needs context your rules don't capture. Suddenly someone's babysitting an automated process that was supposed to be a…
I have been building LocalAnt , a local-first MCP gateway for ChatGPT. GitHub: https://github.com/yuga-hashimoto/localant The goal is to make ChatGPT useful as a real local coding and automation agent without handing it an unsafe raw shell. The problem ChatGPT is good at reasoning, planning, and explaining tradeoffs. But most real work still happens on your own machine: codebases, git state, loca…
Originally published at ffmpeg-micro.com Every video your team publishes needs captions. Accessibility requirements, social media autoplay, SEO value. But nobody wants to sit there adding subtitles by hand, and outsourcing transcription adds days of turnaround. You can automate the entire thing. This n8n workflow watches a folder (Google Drive, Dropbox, or an S3 bucket), transcribes new videos wi…
I've been managing a Telegram channel for a while and kept spending time answering the same questions manually. So I built one n8n workflow that now does it for me automatically. The cool thing is it works in any Telegram chat. You just change the system prompt and it adapts completely. What it does When someone sends a message it figures out what to do on its own. If it's a photo — it downloads …
I'll be heading to Chicago from June 22 to 25 for Automate 2026 to see firsthand how the industrial automation landscape continues to evolve. The last time I attended the event (2024), many conversations centered on digital transformation, connectivity, and early Artificial Intelligence (AI) experimentation.
I'm a 17-year-old IT student from Luxembourg. A few months ago I got tired of spending 2-3 hours a day manually browsing Upwork, Malt, and Freelancer looking for projects. So I built an automation system that does it for me — 24/7, on a Raspberry Pi 3. Here's what it does, how I built it, and every painful lesson I learned along the way. What the system does Scans Upwork, Malt, and Freelancer eve…
I've been working on a new project that I call a Company Brain. The idea is simple: Instead of having separate tools for support, sales, marketing, operations, and management, what if a company had a centralized AI layer that could understand business context, access real company data, automate routine work, and escalate decisions when human intervention is required? I'm currently exploring archi…
Modern AI productivity tools help users save time by automating repetitive tasks and simplifying complex workflows. The post How AI Tools Are Changing the Way We Work, Learn, and Create first appeared on EdTechReview .
This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built I built RPA Expense Approver , an automation project that helps process expense requests from a user-facing app. The main idea is simple: instead of checking expense requests manually, the system allows users to submit a request through an app. The submitted data is stored in Google Sheets, then UiPath Orchestrator trigge…
A practical guide to automating repetitive tasks without code: find the right tasks, map them, pick a tool, and build your first reliable automation step by step. There’s a specific kind of work that quietly eats your week: copying a name from one app into another, renaming files the same way every time, sending the same “got it, will reply soon” message, saving every attachment to the right fold…
Key Takeaways Custom workflows beat platform lock-in by giving you 100% data ownership, custom styling control, and zero platform fees. n8n Webhook CORS configuration is crucial when making client-side submissions; restricting origins in production prevents unauthorized cross-site mutations. Database defaults don't fire on upsert updates. When re-subscribing users, you must explicitly regenerate …
The most AI-forward company I've worked at automates boring stuff first. I joined n8n three months ago expecting a somewhat chaotic scaleup with light process and a lot of "we'll automate that later." Instead, on my second week, I watched an agent assign PR reviewers by checking Linear tickets, Slack availability, and who was out of office in HiBob. No demo or tucked-away knowledge. It just works…
AI automation is the use of artificial intelligence to automate repetitive tasks, optimize workflows, and make smarter decisions with minimal human input.
TL;DR: The Zenflow Miro integration lets your AI agent read, analyze, and document any Miro board directly from your workflow. Connect in under two minutes — no API keys, no scripts. Your agent can explain diagrams, identify design decisions, and surface insights across boards without you copying a single sticky note.
AI coding and vibe coding are approaches that use artificial intelligence to assist in building software by generating code, suggesting solutions, and streamlining development workflows.
Contributing Analysts: Adhish Luitel , Research Director & Ryan Wiggin , Principal Analyst
Post provided by Liliana Silva Why we developed this automation framework Observing animal behaviour is one of the most widely used methods in ecology. But anyone who has spent hours viewing video footage knows how quickly behavioural analysis becomes overwhelming. A single nest camera can generate hundreds of hours of recordings, and turning those videos into behavioural data often means endless…

Finance teams live in Stripe. Engineering teams live in their IDE. And the gap between those two worlds — a quick balance check, a customer lookup before a call, a refund status during an incident — costs more time than it should.
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