Episode 44: The Future of AI Coding Assistants: Who’s Really in Control?

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Vanishing Gradients

Hugo Bowne-Anderson

62 episodes

5 days ago

A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.

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All content for Vanishing Gradients is the property of Hugo Bowne-Anderson and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.

Show more...

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Episode 44: The Future of AI Coding Assistants: Who’s Really in Control?

Vanishing Gradients

1 hour 34 minutes 11 seconds

9 months ago

Episode 44: The Future of AI Coding Assistants: Who’s Really in Control?

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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