Crafting AI-Powered Pipeline Code
In the preceding chapter, we delved deep into Jenkins’ Declarative Pipeline syntax, arming ourselves with a comprehensive vocabulary. This was not just an exercise in familiarization but a strategic move to prepare ourselves well for the current chapter. By grasping the nuances of the syntax, we’ve paved the way for the integration of an exciting collaborator in our coding journey: artificial intelligence.
The realm of AI is vast and diverse, and among its stellar achievements is ChatGPT, a product of OpenAI’s groundbreaking research. This model stands out for its ability to understand, process, and produce human-like text. When combined with our Jenkins expertise, ChatGPT becomes a potent ally, making the task of crafting pipeline code not just simpler but also innovative.
Effective collaboration with ChatGPT requires a systematic approach. Therefore, the current chapter introduces the Describe > Run > Troubleshoot...