Inbal S

Chapters

Introduction and the State of AI in Software Engineering

Productivity, Adoption Mistakes, and Measuring Value

AI as a Collaboration Tool and the Future of Models

Leadership Growth and the Dynamics of Change

Key Concepts

• AI as a copilot, not a pilot
• AI as a mental shift for developers
• AI for communication and clarity
• Abstraction layers in coding history
• Broad skills for a CPO
• Developer happiness and tooling
• Developer productivity vs. happiness
• Effective change management
• GitHub Next and research-driven innovation
• High-signal interview questions
• Hybrid models vs. general LLMs
• Internal dogfooding at GitHub
• Learning from failure (TomTom story)
• Overhyped vs. underhyped AI trends
• Strategic AI adoption
• The role of AI-driven testing