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Blind tasting programming languages.
Arjay McCandless@arjay_the_dev

Blind tasting programming languages. #coding #programming #csmajors

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Blind tasting programming languages.

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Analysis

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Software

Verbal hook

As said out loud
That is horrible. I'm getting notes of undefined, and it's weird.

Visual hook

Reaction reveal
How the visuals workThe visuals directly stage the joke: the creator tastes through straws hidden behind a cardboard box while programming-language logos identify the samples. On-screen captions reinforce his spoken reactions and coding references.
That is horrible. I'm getting notes of undefined, and it's weird. It tastes completely different if I compare it with 2/2 versus 3. Must be JavaScript. Definitely better. I'm getting a little bit of spring, possibly even some boot. Tastes a little bit vintage. Very legacy. But it's. I think it feels quite popular. I'm gonna say it's Java. Wow, that one goes down very easy. Almost too easy. I'm getting a mix of machine learning, but also vibe coding. Lovely flavor, but I feel like I can only be drinking one glass at a time. Must be python. Ooh. Ooh, that is nice. That. That almost feels like this one, but much more refined. I'm getting type safety. Must be typescript. Ooh, that's clean. Goes down fast. Almost no aftertaste, but I'm getting hints of overrate.
  1. 01
    The Bad First Sample

    Open with a blunt reaction to the first option. Give an unusual sensory or performance clue, then compare it against two numbered versions or settings.

    Original
    That is horrible. I'm getting notes of undefined, and it's weird. It tastes completely different if I compare it with 2/2 versus 3.
  2. 02
    First Identification

    Use the clue pattern to make a confident guess, then add a second positive or negative judgment to keep the evaluation moving.

    Original
    Must be JavaScript. Definitely better. I'm getting a little bit of spring, possibly even some boot.
  3. 03
    Second Sample Reveal

    Describe the next option with several clues that suggest age, style, popularity, or familiarity. End with a confident identification.

    Original
    Tastes a little bit vintage. Very legacy. But it's. I think it feels quite popular. I'm gonna say it's Java.
  4. 04
    Third Sample With a Limitation

    Give a highly positive reaction, then introduce one practical limitation. Mix multiple recognizable clues before naming the option.

    Original
    Wow, that one goes down very easy. Almost too easy. I'm getting a mix of machine learning, but also vibe coding. Lovely flavor, but I feel like I can only be drinking one glass at a time. Must be python.
  5. 05
    Refined Near-Match

    React with strong approval and compare the current option to a previously identified one. Explain that it shares the same core trait but is more refined, then reveal a technical or distinguishing clue.

    Original
    Ooh. Ooh, that is nice. That. That almost feels like this one, but much more refined. I'm getting type safety. Must be typescript.
  6. 06
    Final Clean Option and Sting

    Close with a fast, clean, mostly positive description, then add one negative or controversial hint as the final aftertaste.

    Original
    Ooh, that's clean. Goes down fast. Almost no aftertaste, but I'm getting hints of overrate.

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