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
(03:00) Humans are bad at code review. Why AI works
(06:00) Intelligence becoming abundant
(07:20) 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
