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Real-Real-World Programming with ChatGPT

O'Reilly

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. or “ha look how incompetent it is … it couldn’t even get my simple question right!”

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The Quality of Auto-Generated Code

O'Reilly

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. First, we wondered about code quality. But we don’t have methods to test for code that’s “good.”

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Rethinking programming

O'Reilly

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. There are jobs for people who design plumbing fixtures, but you wouldn’t want them working in your bathroom.

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Teaching Programming in the Age of ChatGPT

O'Reilly

Imagine for a minute that you’re a programming instructor who’s spent many hours making creative homework problems to introduce your students to the world of programming. One day, a colleague tells you about an AI tool called ChatGPT.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

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Nurturing Design in Your Software Engineering Culture

Strategic Tech

I believe that attitude towards the design of code and architecture is one of them. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. Both valuing design and striving for continuous delivery are necessary.

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Generative AI in the Enterprise

O'Reilly

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.