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About Luca Berton

Luca Berton is an Ansible automation expert, author of 8 Ansible books published by Apress and Leanpub including "Ansible for VMware by Examples" and "Ansible for Kubernetes by Example", and creator of the Ansible Pilot YouTube channel. He shares practical automation knowledge through tutorials, books, and video courses to help IT professionals and DevOps engineers master infrastructure automation.

ChatGPT for DevOps: Boost Productivity with AI-Generated Code — Video Tutorial

Discover the benefits and limitations of using ChatGPT for DevOps tasks. Learn how AI-generated code can speed up workflows but requires careful validation.

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Tutorial summary

What you'll learn

  • The good
  • The bad
  • Project Wisdom
  • Conclusion
  • Related Articles
ChatGPT, produced by OpenAI, is an excellent tool for artificial intelligence with a Chat-like interface. We can ask ChatGPT any questions. What is unexpected is that the results are quite brilliant when we ask how to write code, too. Since the OpenAI ChatGPT release announcement on 30th November 2022, the ChatGPT tool has been a great hype on the internet. People around the globe tested in the most variant situations. It's impressive the application of the GPT (Generative Pre-trained Transformer) 3.5 large language model with a massive amount of data. It's a great tool to speed up the DevOps and SysOps workflow. Long story short: it creates a skeleton that we can use as a base for laboratory tests, but nothing is ready for production. It's impressive because it could be improved and probably we could obtain a great result in a few years. After a few tries, I agree with the opinions of Craig Brandt in the "Ansible and ChatGPT: Putting it to the test" article on the Ansible blog. The good ChatGPT can understand our request and process it in a way to generate some code. The output code respects the Ansible syntax. It gives us an idea of how automation could be executed in real life. {{< youtube WTivTbCFK_c >}} The bad The produced code it's far from production ready. Some outputs are definitely better quality than others; it depends on the use case. We can use the [Ansible-Lint](/articles/ansible-lint) tool to analyze for syntax checks and test when the Ansible best practices are fulfilled. Project Wisdom Project Wisdom announced at AnsibleFest 2022, is a close collaboration between Ansible and IBM Research to create an Ansible AI. The quality will be better because of the specificity of the project. I look forward to testing on my own. {{< youtube 9Zvuz9r9bc4 >}} Conclusion ChatGPT is a great tool to speed up DevOps productivity, but the resulting quality might vary significantly. It's a great way to obtain a laboratory test draft but not a production-ready code. Related Articles - [Ansible Lightspeed Review: IBM Watson AI Enhances Development](/articles/ansible-lightspeed-with-ibm-watson-code-assistant-project-wisdom-beta) - [Ansible Lightspeed Review: AI-Powered Automation with IBM Watson](/articles/ansible-lightspeed-with-ibm-watson-code-assistant) - [Ansible Project 2022 Conclusion & 2023 Outlook: Key Developments](/articles/ansible-news-ansible-project-zeitgeist-2022-and-forecast-for-2023)

About this tutorial

  • Author: Luca Berton
  • Difficulty: Beginner
  • Read time: 2 min
  • Category: events

Topics covered

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