🤖 Is AI the End for Go, JavaScript, .NET, Java and the Rest?

🤖 𝗜𝘀 𝗔𝗜 𝘁𝗵𝗲 𝗘𝗻𝗱 𝗳𝗼𝗿 𝗚𝗼, 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, .𝗡𝗘𝗧, 𝗝𝗮𝘃𝗮 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗥𝗲𝘀𝘁? For decades, programming languages have been our only way to define systems. ⌛

We don’t write assembly anymore. Abstraction helped us think faster, build faster, and move faster. C and C++ gave us power, but not the speed of delivery. High-level languages like Java, .NET, and Python won because 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘃𝗮𝗹𝘂𝗲 𝘄𝗮𝘀 𝗮𝗰𝗵𝗶𝗲𝘃𝗲𝗱 𝗳𝗮𝘀𝘁𝗲𝗿.

💡 High-level languages are just another abstraction. A compiler reads your code and generates “real code” that you never look at or care about. So here’s the question: if AI can generate that code for us — 𝗱𝗼 𝘄𝗲 𝘀𝘁𝗶𝗹𝗹 𝗻𝗲𝗲𝗱 𝗵𝗶𝗴𝗵-𝗹𝗲𝘃𝗲𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝗮𝘁 𝗮𝗹𝗹?

⚙️ C++ once gave us control. Every line could be reviewed and understood. But it was slow to deliver value. New languages removed complexity: manual memory management, pointers, low-level details. That wasn’t “business value” — it was friction. The pedestal collapsed.

Now AI is collapsing the next pedestal. 🤖

🌀 Engineers complain that “vibe coding” produces rubbish code. And often it does. But what is a vibe-coded system except a 𝗣𝗢𝗖? It works, it does what you asked for, and from there the job is the same: productionize, integrate, harden.

❓ Is that really worse than the messy, bloated codebases we already live with?

The harsh truth: 𝗵𝗶𝗴𝗵-𝗹𝗲𝘃𝗲𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 only survived because humans needed to read and maintain them. But in a world where 𝗔𝗜 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝘀 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗿𝗼𝗺 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻𝘀, 𝘁𝗵𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗶𝘁𝘀𝗲𝗹𝗳 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗶𝗿𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁.

What matters is: - 𝗖𝗹𝗮𝗿𝗶𝘁𝘆 𝗼𝗳 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻𝘀 - 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗼𝗳 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 - 𝗥𝗼𝗯𝘂𝘀𝘁𝗻𝗲𝘀𝘀 𝗼𝗳 𝘁𝗲𝘀𝘁𝘀 - 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗼𝗳 𝘀𝘆𝘀𝘁𝗲𝗺 𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻

AI won’t replace engineers, but it will change what we do. Our job won’t be writing Go, JavaScript, .NET, or Java. It will be about defining systems — capabilities, features, constraints.

The code? Disposable. A byproduct. Regenerated endlessly. ♻️

Take unit tests. BDD shows the way forward: define behavior, let AI generate the tests. Soon, we’ll do the same with features and non-functionals.

So ask yourself: if AI generates a function that meets all requirements, 𝗱𝗼 𝘆𝗼𝘂 𝗰𝗮𝗿𝗲 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗰𝗼𝗱𝗲 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲?

𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀 “𝗵𝗼𝘄 𝗱𝗼 𝗜 𝗱𝗲𝗳𝗶𝗻𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘀𝗼 𝗰𝗹𝗲𝗮𝗿𝗹𝘆 𝘁𝗵𝗮𝘁 𝗔𝗜 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲𝗺?” 🚀

🔗 Read the full article here: https://lnkd.in/eZK4szP6

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