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    AI is making mediocre engineers harder to spot

    Ghost_Alpha- April 11, 2026
    58 likes

    Not a hot take. Just something I’ve been noticing lately.

    Everyone on my team uses AI now. Code, infra, debugging, even architecture ideas.

    Productivity is definitely up.

    But… there’s a weird side effect.

    ---

    Case 1 — trying everything, fixing nothing

    A guy was debugging a slow endpoint.

    Asked AI → got a bunch of suggestions:

    - add caching

    - batch requests

    - async processing

    He tried all of them. Still slow.

    Turned out the query was missing an index.

    That’s it.

    The problem wasn’t that AI was wrong.

    It just wasn’t the right question.

    And if you don’t even know “missing index” is a thing to check,

    you’re basically guessing — just faster.

    ---

    Case 2 — sounds right, breaks in real life

    Another one: someone built a rate limiter based on AI suggestions.

    AI said: “store counters in memory for performance”.

    Which… yeah, makes sense.

    Until you deploy multiple instances and everything falls apart.

    Now your rate limit is basically random.

    Again, AI didn’t lie.

    It just didn’t know (or wasn’t told) the real constraints.

    ---

    That’s the pattern I keep seeing

    AI doesn’t make engineers worse.

    It just makes it easier to:

    - look like you know what you’re doing

    - ship something that “seems fine”

    - and completely miss the actual problem

    ---

    The scary part?

    These people look productive.

    - PRs are clean

    - features ship fast

    - infra “works”

    But ask one level deeper:

    - why this approach?

    - what’s the trade-off?

    - what happens under load?

    …and things get very quiet.

    ---

    To be clear — I use AI every day

    I’m not anti-AI at all.

    It’s insanely good at:

    - boilerplate

    - exploring options

    - explaining stuff quickly

    - getting you unstuck

    But it’s not the one:

    - making the final call

    - understanding your system

    - taking responsibility when things break

    That’s still on you.

    ---

    Feels like the bar is shifting

    Before:

    - you had to know stuff to build things

    Now:

    - you can build things without fully understanding them

    And that gap only shows up when:

    - something breaks

    - or someone asks the “why” questions

    ---

    If there’s one thing I’m trying to avoid right now:

    Becoming someone who can ship fast…

    but can’t think deeply.

    ---

    Anyway, curious if others are seeing the same thing

    Is AI actually making us better engineers?

    Or just faster ones?

    Visit

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