

Copilot, Agent Mode, and the New World of Dev Tools with GitHub’s CEO Thomas Dohmke
389 snips Mar 13, 2025
This episode dives into the innovative features of GitHub Copilot, emphasizing its 'agent mode' for collaborative coding. The discussion highlights Copilot's evolution from a simple tool to a team player in software development. Competition in the developer tools market is explored, with insights into the strategic importance of understanding developer needs. They also analyze AI's impact on software pricing and what Copilot's success means for Microsoft and the industry at large, plus Thomas shares his fascinating journey from East Berlin.
AI Snips
Chapters
Transcript
Episode notes
Copilot's Impact on Developer Workflows
- GitHub Copilot is transforming developer workflows by writing a significant portion of code.
- It has evolved from auto-completion to an agent that helps implement features and manage tasks.
Challenges and Criteria for AI Agent Adoption
- Key obstacles to fully autonomous AI agents include improved model reasoning, UI/UX design for developer workflows, and agent predictability.
- Steerability, verifiability, and tolerability are crucial for wider agent adoption.
Product Manager Using Copilot
- Thomas Dohmke recounts a story of a product manager using Copilot to create a pull request, highlighting the potential of AI agents.
- Despite this potential, current AI agents can still struggle with simple scenarios, requiring manual developer intervention.