How to Check Your Ubuntu (or Any Linux) Version from the Command Line
Check your Ubuntu or Linux version from the command line with lsb_release, /etc/os-release, or hostnamectl. Reference + when to use each.
DeployHQ is a code deployment platform designed to help you get files from Git, Mercurial & Subversion repositories onto your servers using SFTP, FTP, S3, Digital Ocean and more!
Our products pack a punch when it comes to features and it would be easy to miss some of them. Here we post helpful tips & tricks about how to use our products & services.
Displaying posts 13 - 24 of 193 in total
Check your Ubuntu or Linux version from the command line with lsb_release, /etc/os-release, or hostnamectl. Reference + when to use each.
Every error in Honeybadger should tell you which DeployHQ release caused it. Wire deploy markers, regression detection, and one-click rollback.
Heroku is in sustaining mode. Compare Render, Railway, Fly.io, and DeployHQ + your own VPS — pricing, lock-in, and when each one wins.
Six open-source tools that compress, monitor, and reduce Claude Code token usage. Heavy users can save $100+/mo. Install commands inside.
GitHub Agentic Workflows let AI agents generate fixes and open PRs automatically. But what happens after the merge? Here's how to connect agentic CI to real deployments using the DeployHQ CLI.
The 7 must-have MCP servers for Claude Code, Cursor and Windsurf: GitHub, Context7, Filesystem, Playwright, Postgres, Brave Search and DeployHQ. Working 2026 install commands.
Email, GitHub's inbox, Slack bots, or a dedicated extension — here's how developers actually track PRs across GitHub, GitLab, and Bitbucket.
The best CLIs for AI coding agents share one trait: structured, predictable output. Here are six tools — from GitHub CLI to Terraform — that consistently deliver the best results when paired with Claude Code, Codex, and Gemini CLI.
Comparing Mailtrap, SendGrid, and Mailgun for Node.js — setup, deliverability, API workflows, MCP support, and pricing to help you pick the right email API for your next project.
AI coding agents connect to external tools through CLIs and MCP — but the two approaches differ in output structure, context efficiency, security, and discoverability. Here's when to use each, and why the best setup combines both.
Set up a WSL2 development environment on Windows with Docker Desktop, then deploy to Linux servers automatically with DeployHQ — no more "works on my machine" issues.
Configure Claude Code, Codex, Cursor, Copilot, Gemini, and Windsurf with AGENTS.md and CLAUDE.md that actually work — no auto-generated bloat.