179 | From Idea to Product: Postman Labs’ Experimentation Process

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Контент предоставлен Amy Dutton, James Q. Quick, Brad Garropy, and Bekah HW. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Amy Dutton, James Q. Quick, Brad Garropy, and Bekah HW или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

2M ago 30:14

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In this episode, James and Amy are live from Post Con 24 with Sterling Chin from Postman's Labs team. Sterling shares insights on how Postman leverages AI to build tools that enhance developer productivity. He delves into the experimental nature of Postman Labs, the importance of rapid iteration, and how they determine which features make it into production. Sterling also discusses Postbot, an AI assistant designed to streamline the API development process.

Show Notes

00:00 Intro

01:01 What is Postman Labs?

01:51 Criteria for successful experiments

03:31 Understanding customer workflows

04:29 Tips and tricks for rapid iteration

06:16 Internal feedback and dogfooding

08:02 Working in Postman Labs

10:00 Postman's Commitment to R&D

12:02 AI Adoption at Postman

16:47 Overview of Postbot

18:11 Technical details of Postbot

20:16 Postman Flows

21:10 AI tools and agnosticism

22:07 Postbot’s availability and pricing

23:09 Scaling and Team Size

26:07 Customer Feedback and Features

29:03 Closing

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