AI writes code now.
But does it work—or just look impressive until production melts down?
In this video, we break down why AI-generated code isn’t the threat… dependency on it is. From brittle “authentication” examples to real-world production edge cases, we show what happens when devs stop thinking and start copying.
You’ll learn:
✅ Why AI code looks clean—but misses everything that matters
✅ The 20% of code AI can’t finish (and why it’s the hard part)
✅ How to debug code you didn’t write (and secretly don’t understand)
✅ What AI still sucks at: systems thinking, context, tradeoffs
✅ The human skills that will keep you relevant—no matter how good the tools get
💥 Real Example:
Watch an AI-generated Java AuthenticationService fail every production standard.
Then see what it looks like when a human thinks in systems—not just syntax.
💡 Why It Matters
AI won’t replace you.
But the dev who understands AI—and knows when to say no?
They will.
[ERROR PRIME]: “Still more reliable than your 1999 code.”
(Me): “That was one time. And it shipped.”
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🔹 Join the Discord:
For dev support, Error Prime roasts, and better debugging advice than Stack Overflow.
👉 discord.gg/5eK4xXZcJJ
🔹 Want premium templates, AI tools, and behind-the-scenes code?
👉 patreon.com/theseriouscto
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🚀 Hashtags:
#AIProgramming #CodeReview #DeveloperTools #TheSeriousCTO #ErrorPrime #DevLife #GPTforDevs
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