On this episode of "Who's a Good Dev?", we sit down with Julianna Lamb, co-founder and CTO of Stytch, one of the most well known auth companies in the world.
Julianna is a world-class expert on auth - an often enigmatic topic for engineers of all skill level. She is also exceptional at explaining auth in simple ways.
We learned a lot from this conversation, and hope you do too!
We sit down with Ted Nyman to talk about scaling. Ted worked at GitHub from 2012-2016, much of it as CTO and VP of Engineering.
This was a period of rapid growth for GitHub, and Ted was kind enough to share the lessons learned scaling the most widely used developer product on Earth.
In this episode we talk about writing amazing developer docs with Hahnbee Lee, the co-founder and CTO of Mintlify.
Mintlify is THE platform for developer facing documentation. Companies like Anthropic, Pinecone, and 100s of YC startups including Greptile use Mintlify to write and host their developer-facing documentation.
This episode does not contain paid promotion.
Check out Mintlify!
Greptile Docs, built on Mintlify!
Hahnbee's Twitter - @hahnbeeIee
Greptile's Twitter - @greptileai
In this episode we interview Jordan Wick. Jordan grew up on a cattle farm in Idaho, went to MIT, and spent years at Waymo working on driverless cars, which are now publicly available in San Francisco.
Now he's working on Intercept, a startup in the retail and logistics space.
In the first episode of "Who's a good dev?", we interview Sai Kambampati.
Sai has been building iPhone apps since he was 14. He spent a summer working at Apple, and then was personally recruited by Humane's CEO to work on next generation AI wearables, where he has been for the past year.
In this episode we interview Justin Torre, one of the creators of Helicone, one of the most popular LLMOps and observability platforms in the world.
Justin got a CS degree from Northeastern and spent time working at Apple, then Sisu, and now is working on Helicone.
He's someone we at Greptile go to for advice when working on hard technical problems, especially with API design and data pipelines.
