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Bite-Sized Python News & Updates | 
 
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 Hey Pythonista, 
  
Is the Vibe Coding hype finally fading? 
  
It depends on who you talk to, but I absolutely think so. 
  
I think the shine, the pull and the expectations have dropped off and people are finally realising that you absolutely shouldn't be using AI to blindly write all of your code. 
  
Using it as an assistant is the way to go, for sure. But the second you let it do all the work while your skills atrophy, you're in for a world of hurt. 
  
Lately I've been seeing more articles appearing around the web detailing experiences of 100% AI written code going awry. Likewise, more opinion pieces on Medium/Substack are popping up. Here are two I enjoyed reading this past week: 
 
Futurism Article: "Inventor of Vibe Coding Admits He Hand-Coded His New Project" 
  
Substack Article: "Is Vibe Coding Dying?" 
   
Whichever side of the fence you're on with vibe coding, this is a shift worth watching, especially as we see companies like Amazon put an emphasis, even metrics, on it! 
  
Meanwhile, what can you do? Keep honing your skills and keep up the learning (with Pybites of course!). Use AI to become more efficient. Be ready for the opportunities that are coming. 
  
Enjoy the articles and please join us in our community using the link below to keep the conversation going. 
  
Have a great week! 
  
Cheers, 
Julian 
  
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Why Python Devs Are Learning Rust 🔥 | 
 
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 Ruff, Pydantic V2, and Polars? All powered by Rust. 🦀 
  
Rust forces discipline: memory safety, ownership, real performance. 
  
It’s hard, but that’s the point. You’re forced to think about memory and types. You come out sharper. 
  
Rust adds real weight to your developer profile. In a crowded job market, "Python + Rust" signals you're serious about performance and systems thinking. 📈 
  
We’re launching a Rust coaching cohort built specifically for Python 🐍 devs.  
   
Starting November - check it out here: 👉 scriptertorust.com -> apply there when ready. 
  
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How to write better documentation | 
 
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 Derrick Kearney shared this useful article: Examples are the best documentation  
The author of the article compares terse code + docs (yes, even in Python!) with a more incremental approach showing a bunch of smaller examples (it almost reads as a nice pytest test suite).  Something useful to keep in mind when we write docs.
 
  
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 "Walking on water and developing software from a specification are easy if both are frozen." 
  
– Edward V. Berard 
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