Thomas Dohmke, CEO of GitHub, shares insights on Europe's potential to lead in AI innovation. He discusses the vital shifts needed in the continent's tech ecosystem to compete with the US. Dohmke reflects on his journey from East Berlin to tech leadership, emphasizing the importance of a vibrant startup culture and thoughtful regulations. He challenges the notion of unchecked techno-optimism, advocating for a balanced view of technological progress. Additionally, he explores how AI tools like Copilot can transform coding and empower a new generation of developers.

In this conversation, Thomas Dohmke, CEO of GitHub, shares insights on the platform's unique position under Microsoft since its acquisition. He emphasizes the importance of competition in the AI industry and its role in fostering better products. Dohmke discusses GitHub Copilot, its impact on coding productivity, and the democratization of coding through AI tools. He also highlights the evolving landscape of open-source vs. closed-source AI development, the importance of user feedback, and how GitHub maintains its independence while aligning with Microsoft’s AI initiatives.

GitHub CEO Thomas Dohmke showcases how AI is revolutionizing coding, making it accessible to everyone. He introduces Copilot Workspace, an AI assistant that helps create code using natural language. The podcast explores the future of software development with AI, emphasizing the collaboration between human creativity and technology.

GitHub Founder & CEO, Thomas Dohmke, discusses how AI is reshaping software development, making coding more accessible. They explore AI's impact on creativity, the evolution of software community, and the future role of coders in a world with advanced AI technology.

Thomas Dohmke, CEO of GitHub, leads the conversation on the revolutionary impact of GitHub Copilot, born from OpenAI’s GPT technology. He shares how a small team transformed Copilot from simple autocomplete to a comprehensive tool that boosts developers' productivity. The discussion highlights the need for secure software supply chains and the growing accessibility of coding. Thomas envisions a future where a billion developers can harness these AI tools by 2030, democratizing software creation and enhancing collaboration across the industry.