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this post was submitted on 11 May 2026
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It’s not replacing jobs, it’s being used as a scapegoat.
You could probably fire a lot of Meta and not lose any real productivity. Just look at how’s much resources they allocated to VR and stalker glasses?
The truth is these companies spent covid playing Pokémon card collector with devs and now they’re spending hundreds of billions trying to capitalize on AI, so they need that cash flow black to pay for loans.
But on the other side of the same stick, you’ve got employees who you can now whip harder and say “look, we can make flappy bird with an AI model, do your deep work using 100 ai agents instead of thinking”
The fact that the same tech companies that fire people en masse are balls deep into the AI ouroboros can‘t be a coincidence. It‘s essentially a cruel and stupidly risky PR campaign for their shitty product.
Also the updates to their existing software getting increasingly buggy and sloppy.
On that note, I had latest Claude Opus xhigh write me some code.
If a user passed an empty string to the
user_idfield it would give them access to everyone’s data. How that worked was a check like “if user_id: # add user id to query”. Empty strings are falsy in Python, so empty user id retrieves all data.A function later on was filtering these results out coincidentally, but not specifically. So if this shipped, in a month when someone updated the code, we’d be allowing an empty login form to access all user data.
This is the slop getting shipped by AI code assistants. This is why I am rewriting the whole project manually.
It could also suggests your codebase doesn’t have solid patterns
This was pretty close to a green field project.
This was one of the very first functions written after the db models were created.