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Kiran Edupuganti
Kiran Edupuganti

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A PAGE TALKS ABOUT (Postbot: The AI Assistant By Postman)

MY ANALYSIS: PICTURE THIS

My Analysis

ReWire — Trends

Channel Objectives

The channel has already published a short story titled ‘AI-ERA: Demystified In A Nutshell’. If you haven’t read it yet, please navigate to this story first. I recommend reading the introductory story as a prerequisite before continuing below. It will help you benefit from and establish connectivity throughout this journey.



A PAGE TALKS ABOUT column from the @rewirebyautomation channel. Picture this story as a follow-up to the parent story titled ‘AI-ERA: Demystified In A Nutshell.’ As stated in the parent story, @rewirebyautomation presents “Postbot: The AI Assistant by Postman”, providing a quick overview of the LLM concept and its presence and utilization in the relevant API Test Automation field in the form of Postbot assistant.

Refer to the mind map below that outlines the Program of the Story

Program

Refer to the mind map below titled ‘Picture This: AI Assistant at a Glance’ which presents an overview of the AI Assistant. It focuses on the trained model that has evolved into a specific assistant, supporting and enhancing the journey of API Test Automation on the Postman platform.

AI Assistant at a Glance

Refer to the mind map below titled ‘Picture This: The Postbot: Introduction’ which presents an overview of the ‘Postbot’ and its integration into the Postman platform. It highlights features related to API Test Automation from a testing perspective. The journey of Postbot is evolving, with new features being added over time.

Postbot

Refer to the mind map below titled ‘Picture This: Traditional to Augmented Model’ which illustrates the association of Postbot in the journey of the API Test Automation life cycle. It primarily focuses on augmenting API test development, building on top of traditional model development.

Traditional To Augmented

Refer to the mind map below titled ‘Picture This: Probability at Results Overview’ which presents the code delivery at scale compared to the traditional model and its value additions during the journey. The outlined value additions are probable, depending on the nature of test designs and validation requirements. API Test Automation offers numerous ways to utilize its strength and depth in the testing model, leading to the probability of tangible results after implementation. It is up to individual perception how best to utilize the Assistant according to their needs.

Results Overview

The Conclusion: Picture This

The Conclusion

Refer to the voiceover session below from the @reWireByAutomation YouTube channel.


As part of the upcoming stories, I will soon publish ‘some more Ai Assistants available in the market’ which are designed to offer valuable insights into Augmented Test Automation and Delivery in any form.


@rewirebyautomation will soon publish a detailed course on Postbot to maximize the use of the AI Assistant.

This is @rewirebyautomation, signing off!

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