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…
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. 🧵
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.
Full walkthrough — the SQLite DSN, the MCP config, and the cp-based safety net:
deployhq.com/blog/using-clau…
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. 🧵
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.
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…
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 ↓
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.
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
The AI coding market isn't consolidating on pricing.
It's splitting into 3 camps:
1. Locked-in + metered (Claude Code, Copilot, Cursor)
2. Portable + metered (OpenRouter, LiteLLM + any agent)
3. Flat-rate + curated OSS (OpenCode)
Here's what each actually costs you ↓
The agents and IDEs that plug into the routers:
• Aider — terminal, git-native commits
• Cline — autonomous IDE agent, first-class MCP
• Continue.dev — Apache 2.0, VS Code + JetBrains
• Cursor — single-vendor, polished, hybrid pricing
Mix-and-match is the point.
Pick the camp before you pick the tool:
– Predictable bill, don't care about lock-in → Camp 1
– Want to swap models freely + cap spend → Camp 2
– Want one flat bill + OSS-only → Camp 3
Full breakdown of all 7: deployhq.com/blog/claude-cod…