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

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Amy Dutton, James Q. Quick, Brad Garropy, and Bekah HW द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Amy Dutton, James Q. Quick, Brad Garropy, and Bekah HW या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

3M ago 30:14

MP3•एपिसोड होम

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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