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by bluefirebrand
377 days ago
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> so why not outsource that to an LLM and verify the output? I mean sure, why not. My argument isn't that it doesn't work, it's that it doesn't really save time If you try to have it do big changes you will be swamped reviewing those changes for correctness for a long time while you build a mental model of the work If you have it do small changes, the actual performance improvement is marginal at best, because small changes already don't take much time or effort to create I really think that LLM-coding has largely just shifted "time spent typing" to "time spent reviewing" Yes, past a certain size reviewing is faster than typing. But LLMs are not producing terribly good output for large amounts of code still |
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As a concrete recent example, I had to write a Python script which checked for any postgres tables where the primary key was of type 'INT' and print out the max value of the ID for each table. I know broadly how to do this, but I'd have to double check which information_schema table to use, the right names of the columns to use, etc. Plus a refresher on direct use of psycopg2 and the cursor API. Plus the typing itself. I just put that query into an LLM and it gave me exactly what I needed, took about 30-60 seconds total. Between the research and typing that's easily 10 minutes saved, maybe closer to 20 really.
And I mean, no, this example isn't worth the $10 trillion or whatever the economy thinks AI is worth, but given that it exists, I'm happy to take advantage of it.