The more you see and review LLM-generated code, the more you can detect its fingerprints. Obviously you're not going to prove this is LLM-generated. I wouldn't bet $1M that it is. This could be 100% human made.

But read the same link from above: https://github.com/huseyinbabal/taws/blob/2ce4e24797f7f32a52.... LLMs leave temporal comments like "// Now do X", or "// Do X using the new Y", as responses to prompts like "Can you do X with Y instead?".

or below: "// Auto-refresh every 5 seconds (only in Normal mode)". I would guess this comment was during a response to a prompt like: "can you only auto-refresh in Normal mode?"

Sometimes there are tautological comments and sometimes not: https://github.com/huseyinbabal/taws/blob/2ce4e24797f7f32a52...

``` // Get log file path

let log_path = get_log_path(); ```

This is another signal to me that there is less human influence over the project.

No, none of these are a smoking gun. Also none of this means it was completely vibe coded. To me personally, the worrying part is that these patterns signal that perhaps human eyes were never on that section of the code, or at least the code was not considered carefully. For a toy app, who cares? For something that ingests your AWS creds, it's more of a red flag.

Edit: changed the language a bit to sound less sardonic. My comment is more about LLM signals than a judgment on LLM usage.