Continuous Delivery
The world is currently excited at the public release of ChatGPT. For programmers, there are lots of claims that this is going to radically change how we write code, and do us out of our jobs, but will it? Artificial Intelligence is developing at tremendous pace, and will undoubtedly have an enormous impact on our industry, and every other, but we aren’t quite there yet. So how do we use ChatGPT to help us write better software, and should we? Can ChatGPT code well enough to do our jobs already, or is programming with ChatGPT something more like a smart assistant, or smart search engine for code?
In this episode Dave Farley, author of best selling books “Continuous Delivery” and “Modern Software Engineering” explores the use of ChatGPT, including using it to write part of the script for this show. He explores the code that ChatGPT can write, and gets ChatGPT to practice Test Driven Development (TDD).
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🔗 LINKS:
ChatGPT – Wikipedia ➡️ https://en.wikipedia.org/wiki/ChatGPT
“How does ChatGPT work?” ➡️ https://youtu.be/aQguO9IeQWE
“Chatbots running out of training data”, New Scientist ➡️ https://www.newscientist.com/article/2353751-ai-chatbots-could-hit-a-ceiling-after-2026-as-training-data-runs-dry/
“How many languages does ChatGPT know?” ➡️ https://seo.ai/blog/how-many-languages-does-chatgpt-support
“ChatGPT passes LeetCode tests” ➡️ https://www.youtube.com/watch?v=DOQm7ITHAJw
“ChatGPT debugging” ➡️ https://openai.com/blog/chatgpt/
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