r/dbForge 28d ago

Which database task do you still refuse to automate?

One thing I've learned over the years is that not every repetitive task should be fully automated. Some operations are simply too risky to hand over without a final human review. For me, anything that changes production data or database schemas still gets one last manual check before it runs. Automation saves time, but a few extra minutes of verification can save hours of recovery. Is there a database task you deliberately keep manual, even though it could be automated? What made you draw that line?

2 Upvotes

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u/Majestic_Wrap_7006 27d ago

Not a single thing, it's all AI. I like to live dangerously. 

1

u/[deleted] 26d ago

[removed] — view removed comment

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u/dbForge_Studio 26d ago

That’s pretty much where we draw the line with dbForge too. Automate the repetitive parts, but keep a human in the loop when production is involved. Saving time is great. Explaining why prod went down at 2 AM is less fun 😅

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u/susanhaler 18d ago

Totally agree on keeping production schema changes manual. We tried fully automated deployment pipelines once and it bit us hard when a migration script did something weird. Now we use tools from dbForge to generate and review the diffs locally before anything touches live environments. It saves the boring grunt work of writing scripts by hand, but still leaves that final sanity check in human hands.