Summary

In this chapter, we embarked on a deep dive into refining and fortifying our CI/CD pipelines, ensuring they’re not only functional but also secure. We began our exploration with GitHub Copilot, illustrating how artificial intelligence can significantly boost the development process. With Copilot at our side, we learned how to generate Jenkins pipeline code more efficiently, reducing errors and accelerating our coding endeavors. Compared to ChatGPT, GitHub Copilot is decidedly more tailored for developers when writing Jenkins pipeline code.

Next, we learned about Jenkins Shared Libraries. Through a hands-on example, we discerned the value of centralizing common code patterns. This crucial tool enabled us to maintain consistent pipelines across various projects, ensuring the scalability and manageability of our CI/CD processes. Then, we learned about a small but significant topic – optimizing our Jenkins setup through strategies to periodically discard old builds...