**Why developer productivity isn’t just about tooling and AI** Developer productivity is a complex topic, and there is no single answer to the question of what drives it. However, a number of factors have been shown to be important, including: * **The quality of the developer’s tools and environment.** This includes the programming language, the IDE, the debugger, and other tools that developers use to write code. * **The developer’s skills and experience.** More experienced developers are generally more productive than less experienced developers. * **The project’s complexity and size.** Larger and more complex projects are generally more difficult to develop, and therefore require more time and effort. * **The team’s culture and practices.** A team that works well together and has a shared understanding of the goals of the project can be more productive than a team that is fragmented and has conflicting priorities. In recent years, there has been a growing emphasis on the use of artificial intelligence (AI) to improve developer productivity. AI-powered tools can help developers with a variety of tasks, such as code generation, debugging, and testing. While AI can certainly be a valuable tool, it is important to remember that it is not a silver bullet. AI-powered tools can only be effective if they are used in conjunction with other productivity-enhancing strategies. Ultimately, developer productivity is a multifaceted issue, and there is no single answer to the question of what drives it. However, by understanding the various factors that contribute to developer productivity, we can take steps to improve productivity and create a more efficient development process.