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.
Every AI coding tool reads a config file from your project — CLAUDE.md, AGENTS.md, .cursorrules, GEMINI.md, copilot-instructions.md. This guide covers every format, how they work, and how to write effective instructions.
Compare three deployment agents for firewalled servers — DeployHQ Agent, Buddy Proxy Agent, and Octopus Polling Tentacle. Side-by-side analysis of architecture, protocols, security, and pricing.
Catch security vulnerabilities, N+1 queries, and misconfigurations before they hit production. Learn how to integrate AI code review into your deployment pipeline.
Your deployment is green but users say the site is slow — and you have no way to find out why. OpenTelemetry gives you metrics, traces, and logs in a single vendor-neutral standard. This guide covers zero-code setup for Python, Node.js, and Java, plus how to connect it all to your deployment pipeline.
What if deploying to production was as simple as asking? Explore how LLMs, MCP, and contextual AI are turning deployment from a checklist into a conversation — and what developers can do to prepare.
Turbo Deployments bundle your files into a single compressed package, upload once, and unpack on the server -- cutting deployment times by up to 10x compared to traditional file-by-file uploads.
Master API versioning for safe deployments. Learn URL path, header, and query versioning strategies, backward compatibility patterns, deprecation workflows, and contract testing.
Context7 is an MCP server that injects current library documentation into your AI coding assistant. Learn how to install and configure Context7 for Cursor, Claude Code, and VS Code — with examples for Next.js, Rails, and Supabase.
Introducing Teams Management: organize users into teams with shared permissions and project access. Perfect for agencies managing multiple client deployments.
At DeployHQ, we practice what we preach. When we decided to build PageSpeed by DeployHQ—a free web performance analysis tool—we wanted to showcase a modern, production-ready deployment workflow that demonstrates the power of automated deployments.
Failed web deployments produce cryptic error logs that take hours to diagnose. AI tools like Claude and ChatGPT can analyse deployment logs, identify root causes, and suggest specific fixes in seconds. Includes ready-to-use prompt templates for SSH failures, build errors, and post-deploy crashes.
Understand the Model Context Protocol (MCP) and why it matters for connecting AI assistants to deployment platforms. Technical deep-dive with code examples.