Daksh Gupta, co-founder and CEO of Greptile, joins Brett Gibson on High Bit and explains why human code review is essentially "security theater" and how Greptile uses AI to catch bugs by understanding entire codebases. He dives into why code generation and code review must stay separate, the surprising challenge of teaching AI what's a nitpick versus a severe issue, and how intelligence becoming "abundant and nearly free" is reshaping software practices.Plus: why some companies will be left behind if they don't adopt AI tools, what happens when human "taste" becomes the final bottleneck, and whether code legibility will matter in an AI-dominated future.

Follow Greptile and Dkash for more:

@greptileai

@dakshgup

Chapters

00:00 - About Greptile, the evolution to specialized bug detection

3:00 - Humans are bad at code review. Why AI works

6:00 - Intelligence becoming abundant

7:20 - Sneaky disruption - what people are looking for vs what they need

10:50 - Code gen and verification are different problems

14:00 - Code gen and code review should be separate

17:15 - Getting LLMs to understand code

24:15 - Claude 4's tool-using capabilities changed their approach

25:00 - Architecture: from flowcharts to agent tools

27:30 - What’s hard about code review - what’s a nitpcik vs. a severe issue

31:00 - What was the “High Bit”

35:06 - Whether code legibility will matter in an AI world

37:25 - Why Terraform and infrastructure code is particularly difficult

43:25 - Re-architecting systems to be AI-friendly vs. adapting AI to messy reality

45:55 - Human "taste" as the final bottleneck

47:14 - Rick Rubin level taste in software

47:55 - Human appetite for change - kitchen exhausts for stoves

50:50 - Working with companies that use AI to generate code