
VS Code
Sublime Text
Vim
Node.js
Notepad++
Microsoft Visual Studio
GitHub
IntelliJ IDEA
LXD
runc
Podman
Crane
CRI-O
ZeroVM
BuildKit
Buildah
VS Code
LXDBased on our record, VS Code seems to be a lot more popular than LXD. While we know about 1215 links to VS Code, we've tracked only 9 mentions of LXD. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / 14 days ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 29 days ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / about 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / about 2 months ago
Linux containers project. Foreshadowing of this move at https://linuxcontainers.org/lxd/. - Source: Hacker News / over 2 years ago
The expected changes are: - https://github.com/lxc/lxd will now become https://github.com/canonical/lxd - https://linuxcontainers.org/lxd will disappear and be replaced with a mention directing users to https://ubuntu.com/lxd - The LXD YouTube channel will be handed over to the Canonical team - The LXD section on the LinuxContainers community forum will slowly Be sunset in favor of the Ubuntu Discourse forum... Source: about 3 years ago
Hello community, It seems LXC images for arm7l/armhf are no longer available, not from the official Turris mirror nor from LinuxContainers.org (https://linuxcontainers.org/lxd/). Any solution or alternative for people like me heavily relying on the Turris Omnia to run LXC containers? Thanks. Source: about 3 years ago
Any distribution stable enough and LXD https://linuxcontainers.org/lxd/ for containers and VMs. Source: over 3 years ago
This has been really stable, and has worked pretty well for me. I deploy the applications to a set of LXD containers (read: lightweight Linux VMs) on Proxmox, a free and open-source hypervisor with an excellent management interface. - Source: dev.to / over 4 years ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
runc - CLI tool for spawning and running containers according to the OCI specification - opencontainers/runc
Vim - Highly configurable text editor built to enable efficient text editing
Podman - Simple debugging tool for pods and images
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Crane - Crane is a docker image builder to approach light-weight ML users who want to expand a container image with custom apt/conda/pip packages without writing any Dockerfile.