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Programming with LLMs (Changelog Interviews #629)
Feb 19, 2025
David Crawshaw, CTO and co-founder of Tailscale, shares his insights on integrating Large Language Models (LLMs) into programming workflows. He highlights how LLMs enhance productivity and discusses the evolving landscape of tools like Augment AI for more tailored coding assistance. The conversation also covers the role of networking for LLM deployment, the intricacies of managing machine networks, and the balance between coding efficiency and developer experience. Plus, David reflects on the impact of AI interactions and the importance of context in communication with language models.
01:31:22
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Quick takeaways
- David Crawshaw emphasizes that integrating LLMs into programming workflows can significantly enhance productivity by streamlining coding tasks.
- The partnership between Brex and Retool demonstrates how low-code platforms can empower developers to focus on customer-facing software by efficiently managing internal processes.
Deep dives
The Evolving Role of LLMs in Programming
Large Language Models (LLMs) are increasingly being integrated into programming workflows to enhance productivity. David Krawshaw shares his personal journey of utilizing LLMs over the past year, discovering that these tools can significantly streamline coding tasks. He views LLMs as a net positive for coding efficiency, helping developers focus on complex problems rather than mundane tasks. By actively engaging with these models, he has learned to leverage their capabilities for a more productive programming experience.
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Discover
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