If data cleanup needs to be deterministic, why is so much of it done by humans? Two humans also won't normalize the same table in the same way. The main thesis is that AI data cleanup is cheaper and less mistake-prone than the same work done by a bored intern.
Okay so I would find this useful if it would identify every weird case and then write a deterministic execution plan that covered all of them, that I could look at before running it. Like, show me every query in order I need to run to normalize some table. That itself would be bery useful. But I'd never let a bot loose on a production DB (at least an intern can only make mistakes slowly)
Honestly, you are probably not the target user, as you seem familiar with data cleanup scripts and AI agents. I think the target users would be:
A) Non-technical people in your org who clean data by hand because they don't know to automate it.
B) Technical people who want to test multiple queries and preview transformations before generating an AI-driven transformation flow (and are OK with it).
"Unlike other sea slugs, which can only shed minor body parts, Elysia marginata and Elysia atroviridis can autotomize their heads completely from the rest of their body. "
"Update: Root cause found — this was a bug in a tool I built that was running locally for testing, not Claude Code.
When the tool's configuration pointed at a local working directory, it would hard-reset that directory every poll cycle to reflect the remote — destroying all uncommitted changes to tracked files, exactly as described in the issue."
So much "thorough investigation" done but the author did not consider turning off claude for 10 minutes to see if the problems stops? lol
Flagged the submission as it's inaccurate. Will unflag if title gets changed to something like "dev builds script that resets their git repo every 10 minutes, forgets about it, blames claude code with no evidence"
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