DeployHQ CLI: Deploy From Your Terminal (or Let Your AI Agent Do It)
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Install the DeployHQ CLI (dhq) once and ship from your terminal — or wire it into Claude Code, Cursor, and Codex so your AI agent can deploy for you.
Devops & Infrastructure - DeployHQ Blog
An insight into the way we run the infrastructure that runs all our services, or news about the DevOps world
New DeployHQ integrations: Linear, Google Chat, Telegram, and signed webhooks
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Five new DeployHQ integrations push deploy status to GitHub, GitLab, Bitbucket, Linear releases, Google Chat, Telegram, and signed HTTP webhooks.
Deploy Hermes Agent on a VPS: DeployHQ Workflow + How It Differs from OpenClaw
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Walk through deploying Hermes Agent on a VPS with DeployHQ, plus how its self-improving skills differ from OpenClaw's lighter gateway model.
AI Code Review Tools Compared: CodeRabbit vs GitHub Copilot Code Review vs Sourcery vs Ellipsis
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AI code review tools catch the mechanical issues — security patterns, missing error handling, performance anti-patterns — so human reviewers can focus on architecture and business logic. Here's how CodeRabbit, GitHub Copilot Code Review, Sourcery, Ellipsis, and Greptile compare in practice.
AI Agents in CI/CD Pipelines: From GitHub Issue to Production Deploy
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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.
Best MCP Servers for Web Developers in 2026: Setup Guide for Claude Code, Cursor and Windsurf
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The 6 best MCP servers every web developer should set up in 2026. Step-by-step installation for Claude Code, Cursor, and Windsurf with real use cases for databases, browser automation, design systems, and deployment.
PR Radar vs GitHub Notifications vs Email: How Developers Actually Track Pull Requests
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Email, GitHub's inbox, Slack bots, or a dedicated extension — here's how developers actually track PRs across GitHub, GitLab, and Bitbucket.
Agentic Workflows Explained: How AI Agents Are Changing CI/CD Pipelines
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AI coding agents have moved beyond your terminal. GitHub's Copilot Coding Agent and similar tools now run inside CI/CD pipelines — triaging bugs, writing fixes, and opening pull requests automatically. Here's what agentic workflows actually look like, how to set them up, and where deployment fits in.
6 Developer CLIs That AI Coding Agents Actually Use Well
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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.
CLIs or MCP for Coding Agents? A Practical Comparison
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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.
SOC 2 Compliance for Deployment Workflows: What Auditors Look For
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Your deployment pipeline is an audit surface. Here are the six controls SOC 2 auditors actually check — SSO, RBAC, audit trails, change management, environment separation, and vendor compliance — and how to meet them without slowing down.
SQLite vs PostgreSQL vs MySQL: Choosing the Right Database
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A practical comparison of SQLite, PostgreSQL, and MySQL — when to use each, SQL syntax differences, and how database choice affects your deployment workflow.