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Automate. Deploy. Relax. 🚀 Deploy code from Git to your own servers — zero‑downtime deploys, one‑click rollback, build pipelines. Part of @SaaS_group

Joined August 2010
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Meet `dhq` — our new Go CLI for DeployHQ. Trigger deploys, tail logs, roll back, all from the terminal. Built for humans AND AI agents: stdout is data, stderr is for humans. Plays nice with Claude Code, Cursor, Windsurf out of the box. deployhq.com/blog/deployhq-c…
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Ask your AI assistant about your deployments. The DeployHQ hosted MCP server is live: add one address to Claude Code, Codex, Gemini CLI or Cursor, sign in, and ask what failed and where things deploy. Read-only at launch. Write tools are coming soon. deployhq.com/blog/introducin…
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Most guides on giving an AI coding assistant database access start with the hard case: production Postgres, credentials, network access, read-only roles. That's backwards. The safest place to start is a database that lives in one file on your laptop. 🧵
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Two habits that keep it honest: • Back up before writes, not reads — selects can't hurt the file • Read the SQL before you run it — the assistant is drafting, not deciding Prototype where undo is free, promote where it isn't.
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Full walkthrough — the SQLite DSN, the MCP config, and the cp-based safety net: deployhq.com/blog/using-clau…
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1/ "An AI assistant deleted our production database" isn't a story about a rogue AI. It's a story about a connection string with write permissions and no seatbelt. The fix is boring and it works: read-only guardrails. 🧵
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5/ Step three: for anything that needs to write, give the AI a disposable copy — a throwaway Postgres loaded from a sanitized dump. It can mutate all it wants; nothing real is at risk. Schema changes still go through your deploy pipeline, never the agent.
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6/ Full write-up with the actual GRANT SQL for Postgres/MySQL/SQL Server, the MCP flags, the sandbox pattern, and a copy-paste safety checklist: deployhq.com/blog/ai-databas…
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Lovable's the fastest way to scaffold a React + Supabase app. It's also the fastest way to burn credits when iteration hits the wall. Teams that move past it converge on the same 4-step migration. Here's the step most people skip ↓
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If you've also shipped a v0 or Bolt app, same pattern applies: – v0: deployhq.com/blog/deploy-v0-… – Bolt: deployhq.com/blog/deploy-bol… – Lovable: this guide One DeployHQ project, all three AI-builder outputs on the same edge.
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Full step-by-step (GitHub sync → Supabase config → DeployHQ build pipeline → first deploy → Auth redirect fix): deployhq.com/blog/deploy-lov… Trial includes 1 free site. /end
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