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How AI Is Changing the Way Engineers Review Code

In this episode of The Deep View Conversations, we sit down with Merrill Lutsky, cofounder and CEO of Graphite — a company using artificial intelligence to transform how engineers write, review, and ship code.

What started as an internal tool to streamline software deployment has grown into something larger: a vision for how AI can augment, not replace, the craft of engineering — and reshape how teams collaborate at scale.

Merrill walks us through Graphite’s early pivots, the development of its AI reviewer Diamond, and how the company is rethinking the bottleneck that stands between building and shipping code.

We also go beyond the product to explore deeper questions:
Will coding become fully automated?
How do we balance speed and safety in an era of AI-written software?
And what does craftsmanship mean when machines start to create?

Outline:
00:00 – Intro: Generative AI and the software engineering problem
01:49 – Meet Merrill Lutsky: From Harvard to founding Graphite
03:13 – Building better developer tools: lessons from Meta, Airbnb, and Google
04:17 – The first product: iOS rollbacks and the wrong entry point
05:27 – Discovering the “stack diffs” workflow
07:31 – Turning an internal hack into a company
08:47 – The pivot from iOS tools to code review
11:04 – Taking the leap: betting everything on Graphite
12:16 – Early traction and user feedback
13:27 – What Graphite actually does
16:03 – The rise of AI-generated code and the new bottleneck
17:06 – Introducing Diamond, Graphite’s AI code reviewer
18:53 – How AI reviews code: bugs, logic, and security
20:45 – Building signal over noise in AI feedback
23:34 – Designing human–AI collaboration for engineers
26:10 – Automation without replacement: why humans still matter
29:04 – AI’s impact on engineering culture and productivity
32:45 – The cost of reasoning and scaling AI review
35:26 – Security, privacy, and self-hosting challenges
38:02 – When augmentation becomes automation
40:42 – Rethinking the role of the engineer
43:15 – The craft of coding and what automation might erase
46:00 – Should the next generation still learn to code?
49:08 – Final thoughts

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

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