AI coding assistants are reshaping how developers write, debug, and maintain code—but who’s really in control? In this episode, Hugo speaks with Tyler Dunn, CEO and co-founder of Continue, an open-source AI-powered code assistant that gives developers more customization and flexibility in their workflows.
In this episode, we dive into:
- The trade-offs between proprietary vs. open-source AI coding assistants—why open-source might be the future.
- How structured workflows, modular AI, and customization help developers maintain control over their tools.
- The evolution of AI-powered coding, from autocomplete to intelligent code suggestions and beyond.
- Why the best developer experiences come from sensible defaults with room for deeper configuration.
- The future of LLM-based software engineering, where fine-tuning models on personal and team-level data could make AI coding assistants even more effective.
With companies increasingly integrating AI into development workflows, this conversation explores the real impact of these tools—and the importance of keeping developers in the driver's seat.
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