From Physics to AI: Building a 200ms Coding Assistant | ft. Guy Gur-Ari, co-founder of Augment Code
๐ Augment Code signup link: https://fff.dev/augment
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Join MPJ for an in-depth conversation with Guy Gur-Ari, co-founder of Augment Code and former Google AI researcher. Guy shares how his fascinating journey from theoretical physics to AI led him to build one of the fastest coding assistants in the industry, achieving 200ms response times while maintaining full codebase awareness.
โฐ Quick jump
00:00 - Cold opener with Guy Gur-Ari quote on hallucinatioโฆ
Watch on YouTube โ
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Chapters (15)
Cold opener with Guy Gur-Ari quote on hallucination problems
1:07
What makes Augment different: Full codebase context
2:01
For engineering leaders evaluating coding assistants
2:32
Introduction to Guy Gur-Ari (PhD, ex-Google, Augment co-founder)
4:28
Understanding how Augment handles large codebases
6:11
The technical challenges of building a fast code assistant
9:19
How Augment achieves 200-300ms response times
14:33
Guy Gur-Ari's journey from physics to machine learning
16:35
Working at the IAS (Institute for Advanced Study)
19:20
The Google years: From physics to AI research
21:41
The impact of GPT-3 on AI development
24:40
Why reasoning capabilities matter in AI
27:41
The importance of direct user feedback
31:23
Why Augment chose usage-based pricing over seat-based
33:28
How have generative models changed your workflow?
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