Have you ever wanted an AI coding agent to keep working after you close your laptop, or to reach it from your phone while you're away? That's what pushed me to turn a virtual private server (VPS) into an always-on coding environment. A VPS is a cloud-hosted virtual machine (VM) that you manage. …
I started this project for a very practical reason: I wanted a simple way to generate SRT captions from a video and, if needed, turn that into a captioned MP4. Nothing fancy. Just a workflow that saves me time and avoids running multiple tools. A secondary goal was to learn more about the …
I spend a lot of time working with GitHub Copilot CLI. It's great when I'm sitting in front of a terminal, but sometimes I'm away from the machine and want to kick off a review, ask a follow-up question, or check on the status of an agent task. I recently went on a family vacation to Spain and …
You know that feeling when you're waiting for your AI agent to finish a task and you've got nothing to do but stare at the terminal? If you're like me, you then jump to yet another agent you have running, interact with it if needed, and then stare at the terminal some more. I spend a lot of my day …
Have you ever had tasks on your to-do list that you know should be automated but keep putting off anyway? That's been me with various GitHub repos I maintain. Some of them don't require frequent updates, but others like the new GitHub Copilot CLI for Beginners repo need frequent updates to stay …
GitHub Copilot has grown well beyond code completions in your editor. It now lives in your terminal, too. GitHub Copilot CLI lets you review code, generate tests, debug issues, and ask questions about your projects without ever leaving the command line. To help developers get up to speed, we put …
Have you ever tried to describe a UI bug to someone? “See that button… no, the OTHER button… the one with the blue border… well, it’s kind of blue… anyway, make it bigger.” It’s painful. Screenshots help, but then you’re copying and pasting them into chat windows and hoping your AI assistant …
Most AI demos look impressive in a notebook, but they fall apart the moment they touch real data, real users, or real scale. The companies that will win in 2026 aren’t the ones with the flashiest prototypes, they’re the ones who can reliably design, debug, and deploy agent-powered AI applications. …
AI copilots are getting smarter. They can chat, reason, and even follow complex instructions. But if you want your AI to actually do something useful, like trigger a function, fetch some data, or keep a log of what happened, you need more than just prompts. You need structure and you need context. …
