3 links tagged with all of: learning + productivity + programming
Click any tag below to further narrow down your results
Links
This article explores key insights for building a long programming career. It emphasizes the importance of trying various programming disciplines, finding joy in work, and avoiding rigid productivity measures. The author encourages learning from different fields and recognizing the distinction between work and career.
The article reviews a recent study on how AI tools impact learning new coding skills. It highlights that while AI users completed tasks faster, their retention of knowledge was poorer, especially among those who retyped AI-generated code. The author discusses the balance between speed and depth of learning in software engineering and calls for more research on long-term AI use.
Daniel Terhorst-North outlines the qualities that define the best programmers, emphasizing traits such as insatiable curiosity, a focus on delivering products, and the ability to iterate and learn from failures. He advocates for choosing the right tools for the job, caring for team dynamics, and maintaining a balance between work and personal life as essential aspects of being an effective developer. Ultimately, he believes that kindness and effort are key components of a successful programming career.