Streamline DevOps with Boilerworks Templates

Running multiple Node.js environments locally has always been messy: copying .env files, restarting servers, and keeping track of which instance is running where. That frustration led me to build Multi-Env CLI. Now I can: Run dev, staging, and prod instances side by side Edit environment variables live, no manual restart Keep my original .env files safe In my latest Dev.to article, I share how I went from a chaotic workflow to something that just works. Check it out: https://lnkd.in/g8iKvYAz #NodeJS #DeveloperTools #OpenSource #Productivity #ProductivityHacks #DeveloperProductivity #Workflow #Automation #SoftwareEngineering #TechCommunity #DevExperience

Why I run multiple apps using Docker 👇 Running several services on a single server used to be messy—dependency conflicts, port chaos, and painful deployments. Switching to a Docker-based setup fixed most of that. Core reasons: • Isolation by default Each app runs in its own container → no “it works on my machine” issues. Node versions, libs, configs all stay scoped. • Predictable deployments Build once, run anywhere. Same image = same behavior across dev, staging, prod. • Port + service control Clear mapping (5001 → service A, 5002 → service B) makes scaling and debugging straightforward. • Resource efficiency Multiple apps on a small VPS (even 2GB RAM) without stepping on each other. • Fast recovery & restarts Containers restart instantly with minimal downtime. • Horizontal scalability ready Need to scale one service? Just spin more containers. No impact on others. • Clean CI/CD flow Push image → pull → restart container. No manual server setup. Current setup reality: 14 Docker containers running simultaneously (APIs + bots + web apps) on a single machine with zero conflicts. Trade-offs: • Slight overhead vs bare-metal • Debugging networking can get tricky • Requires discipline in Dockerfile + image size For me: Docker = isolation + deployment consistency That setup scales clean without headaches. #docker #sde #vps

Server Management: Now as simple as a Discord chat. 🚀 Check out these screenshots of my recent test. Using Claude Code, I’ve managed to: - Monitor disk space and manage server health. - Operate entirely agentless (no extra software installed). - Execute complex tasks via a simple Discord interface. The era of managing infrastructure through conversation is officially here. #ClaudeCode #Anthropic #Discord #DevOps #Agentless #CloudManagement

I’ve been working on a small infrastructure project around webhook delivery. Mostly as an exercise in designing reliability honestly. From experience, most webhook systems don’t fail loudly, they fail quietly. A delivery fails, the system retries a few times and eventually it gives up. But nobody knows. The sender assumes the event was delivered and the receiver assumes it never happened. Now both systems have different versions of reality. The worst part is everything still looks healthy on the surface. The deeper I go into this space, the more I realize reliability is actually making failure visible and boring to debug. I’ll share a few notes as I go.

Published post 4 of the homelab series. With the infrastructure from the previous posts in place (VPN, DNS, reverse proxy, HTTPS), adding a new service comes down to two files: a docker-compose.yaml and a Traefik routing config. I walk through two examples: Portainer (Docker management UI) and Home Assistant (home automation platform), covering the details that come up with each. Check the post here: https://lnkd.in/eiA8q49z

Build. Export. Run. That’s it. Three commands to go from an idea → to a fully working agent with: - tools - skills - sandboxing - memory No messy setup. No environment drift. No “works on my machine.” Agents should be portable, reproducible, and easy to run anywhere. That’s what Odyssey is. Check out the repo/docs to start with. https://lnkd.in/gs3SJMpr #agent #llm #agentic #rust

I ran into a Claude Code install issue recently that came down to a classic Linux permission problem: ~/.local was owned by root, not by the current user I was logged in as. Once I changed ownership of that directory to the correct user, the install worked properly. Simple fix. But also a good reminder that a lot of tooling issues are not magic. They’re usually environment problems, ownership problems, path problems, version problems, or assumption problems. This is one reason I actually enjoy digging into setup issues. They reveal how much people rely on tools without understanding the surface they’re running on. For newer developers, this is worth learning early: When something fails during install, don’t just keep rerunning the command and hoping. Slow down and inspect: who owns the directory? what user are you running as? where is the binary trying to write? does your shell environment match what the installer expects? is the failure a tool issue or a machine state issue? A lot of “tool bugs” are really operating system misunderstandings. And yes, this also connects to a bigger shift I’ve been making: I recently switched to Claude Code from Cursor. That doesn’t mean Cursor had no value. It helped push the whole AI coding space forward. But my workflow has been evolving, and I care a lot about reliability, environment control, and how these tools feel inside real engineering work rather than just demo moments. That’s the thing about developer tools: once you move beyond the honeymoon phase, you start judging them differently. You stop asking: “Is this cool?” You start asking: does this fit my real workflow? does it break my concentration? does it respect the environment? does it make debugging easier or more annoying? can I trust it when things get messy? That’s where the truth comes out. Switching tools is not about hype for me. It’s about leverage. The best tool is the one that helps you stay in flow, solve problems faster, and keep shipping without fighting your environment every five minutes. That’s the standard. Hope this permission fix saves somebody else some time. #ClaudeCode #SoftwareEngineering #Linux #DeveloperTools #AICoding #BuildInPublic #DevOps #Terminal #CodingWorkflow #TechFounder

I ran into a Claude Code install issue recently that came down to a classic Linux permission problem: ~/.local was owned by root, not by the current user I was logged in as. Once I changed ownership of that directory to the correct user, the install worked properly. Simple fix. But also a good reminder that a lot of tooling issues are not magic. They’re usually environment problems, ownership problems, path problems, version problems, or assumption problems. This is one reason I actually enjoy digging into setup issues. They reveal how much people rely on tools without understanding the surface they’re running on. For newer developers, this is worth learning early: When something fails during install, don’t just keep rerunning the command and hoping. Slow down and inspect: who owns the directory? what user are you running as? where is the binary trying to write? does your shell environment match what the installer expects? is the failure a tool issue or a machine state issue? A lot of “tool bugs” are really operating system misunderstandings. And yes, this also connects to a bigger shift I’ve been making: I recently switched to Claude Code from Cursor. That doesn’t mean Cursor had no value. It helped push the whole AI coding space forward. But my workflow has been evolving, and I care a lot about reliability, environment control, and how these tools feel inside real engineering work rather than just demo moments. That’s the thing about developer tools: once you move beyond the honeymoon phase, you start judging them differently. You stop asking: “Is this cool?” You start asking: does this fit my real workflow? does it break my concentration? does it respect the environment? does it make debugging easier or more annoying? can I trust it when things get messy? That’s where the truth comes out. Switching tools is not about hype for me. It’s about leverage. The best tool is the one that helps you stay in flow, solve problems faster, and keep shipping without fighting your environment every five minutes. That’s the standard. Hope this permission fix saves somebody else some time. #ClaudeCode #SoftwareEngineering #Linux #DeveloperTools #AICoding #BuildInPublic #DevOps #Terminal #CodingWorkflow #TechFounder

n8n Tutorial for Beginners: Automate Your First Workflow in 30 Minutes Tired of manual, repetitive tasks? This n8n tutorial offers a practical guide to automating your first workflow in just 30 minutes. Learn to leverage n8n's visual builder to connect applications and streamline your daily operations, no coding required. • Understand n8n as an open-source, fair-code workflow automation platform with a visual builder for over 200 integrations. • Explore options for getting started with n8n, including cloud, desktop application, or self-hosting for complete control. • Follow a step-by-step example to build your first workflow, such as monitoring Reddit for keywords and sending Slack notifications. • Learn essential testing and debugging techniques, including manual execution, data inspection, and identifying common configuration errors. • Apply best practices for managing n8n workflows, focusing on clear naming, documentation, incremental testing, and backup strategies. This guide provides a foundational understanding of n8n, empowering developers and tech professionals to reduce manual effort and unlock significant productivity gains through accessible automation. It's a valuable resource for anyone looking to integrate and automate tasks across various platforms. https://lnkd.in/egi9rQ6S #n8n #Automation #WorkflowAutomation #NoCode #Developers #TechProductivity #Integration

"It worked on my machine." The five most expensive words in software development. The pit in your stomach when a Friday deployment hits the staging environment and everything breaks. The hours of lost sleep, the frantic Slack pings, and the "dependency hell" that turns a simple update into a weekend-ruining disaster. We’ve been treating infrastructure like a guessing game for too long. The Shift: • 100% environment parity. • 1 standard unit of deployment. • 0 manual configuration "surprises." The Transformation: From: Fragmented, "snowflake" servers. To: Immutable, isolated, scalable units. By packaging the app with its world, we stop debugging the environment and start delivering the product. Consistency isn’t a luxury it’s the backbone of speed. Scale is easy when your foundations are identical. #TechTalk #EmergingTechnology #AriadneThreadSolutions #FutureOfTech #InnovationInAction #DigitalTransformation