What this book covers

Chapter 1, DevOps and Developer Experience – Entering the World of Modern Development, introduces DevOps and developer experience, highlighting their significance in modern software development. It provides foundational knowledge about these concepts, tools such as Git and GitHub, and their role in enhancing development processes.

Chapter 2, Getting Started with Git, offers a practical introduction to Git, emphasizing both its basic usage and the communication aspects essential for team development. It covers file management, branching, and the principles of collaboration in a Git-enabled engineering environment.

Chapter 3, Advanced Git Usage for Team Collaboration, focuses on advanced collaboration techniques. This chapter teaches how to manage commit history, handle complex branches, and resolve merge conflicts. It underscores strategies for effective code base management to boost team productivity.

Chapter 4, Elevating Team Collaboration with GitHub, explores GitHub’s role in DevOps, going beyond its identity as a code hosting platform. It covers GitHub features crucial for teamwork and collaboration, transitioning from traditional systems to modern DevOps practices.

Chapter 5, Driving CI/CD with GitHub, is an in-depth exploration of GitHub Actions. This chapter covers its core concepts, workflow optimization, and advanced deployment strategies such as blue-green and canary deployments, as well as feature release strategies.

Chapter 6, Enriching DevOps Implementation, takes a comprehensive look at DevOps, discussing the importance of metrics, the integration of security practices (DevSecOps), and strategies for scaling collaboration within organizations.

Chapter 7, Accelerate Productivity with AI, focuses on AI in software development. This chapter delves into tools such as GitHub Copilot and best practices for coding with AI assistance, including effective prompt crafting and AI-friendly programming principles.

Chapter 8, Reflection and Conclusion, reflects on the transformations brought about by technologies such as Git, GitHub, DevOps, and AI in software development, and considers the future impact of AI on software engineering practices.