The Future of Developer Tools: Open-Source AI Code Assistants and Modular AI Systems

​What if your code assistant let you build it your way—choosing the LLMs, workflows, and tools that work best for you?

​Join Hugo Bowne-Anderson in conversation with Ty Dunn, co-founder of Continue, as they explore how open-source code assistants and modular AI systems are transforming developer workflows. In this live-streamed episode, we’ll dive into the LEGO-style approach to building AI-powered tools, empowering developers to create systems tailored to their specific needs.

​This conversation will go beyond just code completion to explore:

• ​Modularity for Developers: How open-source tools can act as building blocks, letting you design workflows and choose LLMs that fit your needs.

• ​Seamless Workflow Integration: Why AI tools must fit into existing developer environments, like VS Code, without forcing disruptive changes.

• ​Balancing Automation and Control: The critical role of human-in-the-loop systems in creating reliable, customizable AI assistants.

• ​Real-World Developer Benefits: How modular systems can make coding faster, more flexible, and more productive—on your terms.

​About Ty Dunn

​Ty Dunn is the co-founder of Continue, an open-source AI code assistant empowering developers with a modular approach to building smarter workflows. By focusing on flexibility, customization, and developer-first design,Ty’s work ensures that AI systems act as reliable partners rather than black-box tools.