In this episode, Michael and Ben speak with Mark Fussell, CEO of Diagrid, about Dapr, a runtime for building distributed applications. Mark shares insights on the challenges of microservices development, the importance of durable workflows, and the actor model. The conversation also touches on API design, the future of AI in software engineering, and how Dapr can accelerate development processes. Mark emphasizes the need for best practices in the rapidly evolving AI landscape and how Dapr aims to provide a robust solution for developers.

In this episode, Michael and Ben explore the world of open source projects in AI, focusing on MLflow and its various flavors. They discuss popular machine learning libraries like Scikit-learn, SparkML, and tree-based algorithms such as XGBoost and LightGBM. The conversation also delves into time series forecasting techniques and the rapidly evolving landscape of generative AI, emphasizing the importance of understanding the strengths and weaknesses of different tools in the open source community.

In this episode, Michael and Ben discuss the challenges of decision-making in software engineering, particularly focusing on the sunk cost fallacy, emotional attachment to work, and the importance of prototyping. They explore how to recognize when to pivot or bail on a project, the complexities of ROI calculations, and how to effectively communicate with stakeholders about project scope and trade-offs. The conversation emphasizes the need for a balanced approach to emotional investment in work, the value of iterative development, and the biases that can affect decision-making.

In this episode, Michael Berk and Ben Johnson discuss the essential traits of effective engineering leadership, the importance of customer-centric software development, and the challenges of integrating AI into business processes. They emphasize the need for clear communication, trust, and vulnerability in leadership, as well as the potential risks and ethical considerations surrounding AI technology. The conversation also touches on the evolving nature of human relationships in the age of AI and the importance of fostering a creative and empowered team culture.

In this episode, Michael Berk and Ben discuss the intricacies of transferring code, project ownership, and knowledge within teams, particularly in the context of machine learning and software engineering. They explore the importance of documentation, bridging skill gaps, and ensuring effective knowledge transfer to maintain and extend codebases. The conversation also touches on the challenges of generative AI and the need for continuous upskilling in a rapidly evolving field.

In this episode, Michael Berk and Ben Wilson discuss their experiences at Databricks, focusing on project management, team dynamics, and the importance of product alignment. They explore the challenges of onboarding new team members, the significance of effective communication with stakeholders, and the balance between upskilling and meeting project deadlines. The conversation emphasizes the need for early integration of components, maintaining code quality, and the role of a tech lead in delegating tasks and managing team dynamics.

In this episode, Michael and Ben Wilson discuss the concept of knowledge acquisition, focusing on how to effectively acquire knowledge for practical action rather than for its own sake. They explore the value of note-taking, the role of curiosity in learning, and the importance of hands-on experience in making knowledge intuitive. The conversation highlights the balance between curiosity-driven exploration and just-in-time learning, emphasizing that both approaches can lead to valuable insights and problem-solving skills. In this conversation, Ben and Michael explore the significance of practical experience in learning, the balance between curiosity and just-in-time learning, and the importance of physical fitness in the tech industry. They discuss the nature versus nurture debate in engineering skills and how AI is evolving to reflect societal changes in knowledge acquisition. The dialogue emphasizes that knowledge should be applied for action rather than mere recall, and highlights the value of general knowledge in fostering innovative ideas.