GenAI Coding: Faster, Flawed, and Full of Bugs – Are We Doomed?

GenAI is coding faster than ever, but it’s also learning to make mistakes just like human developers. With open source models as its teachers, GenAI is churning out code with vulnerabilities at lightning speed. The challenge now? Finding and fixing these bugs before they become sentient, or worse, sentient with a grudge.

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Hot Take:

GenAI coding is like a toddler with a chainsaw: it’s fast, it’s exciting, but you might want to duck for cover. Our AI overlords are learning to code, but they’re picking up some bad habits along the way, like a teenager learning to drive stick shift in a Ferrari. Hold on tight, because the future of coding is going to be a wild ride!

Key Points:

  • GenAI is coding faster than a caffeine-fueled developer, but it’s also learning to make mistakes at lightning speed.
  • AI models learn from open-source code, which means they’re inheriting both genius and gaffes.
  • StarCoder is currently the top AI model for writing code, but it’s still not without its flaws.
  • Some LLMs, like ChatGPT 4.0 and 2.5, are pretty good at writing secure code, but they’re not perfect.
  • The goal is to use AI to spot and fix vulnerabilities in AI-generated code, but we’re not quite there yet.

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