autorenew

Blog

30 Days of AI in Testing Challenge: Day 9: Evaluate prompt quality and try to improve it

nao.deng ·

30 Days of AI in Testing Challenge: Day 9: Evaluate prompt quality and try to improve it

This blog post is the eighth day of the 30-day AI Testing Challenge, focusing on creating detailed prompts to support the testing activities. The post may include the author's reflections on how to design and build prompts necessary for the testing activities, as well as insights gained during this process. By sharing detailed prompt designs, readers will be able to understand how the author uses prompts in testing activities and effectively guides AI in tasks related to testing. This series of activities is expected to provide practical examples and experiences for testing professionals applying AI testing.

30 Days of AI in Testing Challenge: Day 8: Craft a detailed prompt to support test activities

nao.deng ·

30 Days of AI in Testing Challenge: Day 8: Craft a detailed prompt to support test activities

This blog post is the eighth day of the 30-day AI Testing Challenge, focusing on creating detailed prompts to support the testing activities. The post may include the author's reflections on how to design and build prompts necessary for the testing activities, as well as insights gained during this process. By sharing detailed prompt designs, readers will be able to understand how the author uses prompts in testing activities and effectively guides AI in tasks related to testing. This series of activities is expected to provide practical examples and experiences for testing professionals applying AI testing.

30 Days of AI in Testing Challenge: Day 7: Research and share prompt engineering techniques

nao.deng ·

30 Days of AI in Testing Challenge: Day 7: Research and share prompt engineering techniques

This blog post is the seventh day of the 30-Days AI Testing Challenge, which requires participants to research and share real-time engineering technology. The post may include a definition of real-time engineering technology, its applications in the testing domain, introductions to relevant tools and technologies, and the author's perspective on real-time engineering technology. By sharing research on real-time engineering technology, readers will gain insights into its potential value in testing and how to effectively apply this technology. This series of activities aims to provide a platform for testing professionals to deeply understand and discuss emerging technologies.

30 Days of AI in Testing Challenge: Day 6:Explore and share insights on AI testing tools

nao.deng ·

30 Days of AI in Testing Challenge: Day 6:Explore and share insights on AI testing tools

This blog post is day six of the 30 Days of AI Testing Challenge, encouraging participants to explore and share insights about artificial intelligence testing tools. The blog post may include an introduction to different AI testing tools, an assessment of their features and applicable scenarios, and sharing the author's experiences and opinions on these tools. Through such sharing, readers can better understand the AI testing tools available on the market and their roles in the testing process. This series of events hopes to provide testing professionals with a comprehensive understanding of AI testing tools and prompt them to more flexibly choose the tools that are suitable for their projects.

30 Days of AI in Testing Challenge: Day 5:Identify a case study on AI in testing and share your findings

nao.deng ·

30 Days of AI in Testing Challenge: Day 5:Identify a case study on AI in testing and share your findings

This blog post is for the fifth day of the 30-day AI testing challenge event, which requires participants to identify a case study of artificial intelligence in testing and share their findings. The blog post may include the background, objectives, and methods of the case study, as well as key insights discovered during the research process. By sharing the case study, the author is able to demonstrate the application of AI in real-world testing scenarios to the readers, promoting the exchange of knowledge and learning. This series of events is expected to provide testing professionals with an in-depth understanding of AI testing and encourage them to actively participate in the research of actual cases.

30 Days of AI in Testing Challenge: Day 4: Watch the AMA on Artificial Intelligence in Testing and share your key takeaway

nao.deng ·

30 Days of AI in Testing Challenge: Day 4: Watch the AMA on Artificial Intelligence in Testing and share your key takeaway

This blog post is the fourth day of the 30-Day AI in Testing Challenge, in which participants are asked to watch a video or presentation on artificial intelligence in testing and share their key takeaways. The post may include a summary of what the author watched, mentioning new insights into the understanding and application of AI in testing. Through this series, readers can continue to expand their knowledge of the field of AI in testing by watching videos and other formats, while sharing this knowledge and facilitating interaction among participants.

30 Days of AI in Testing Challenge: Day 3: List ways in which AI is used in testing

nao.deng ·

30 Days of AI in Testing Challenge: Day 3: List ways in which AI is used in testing

This blog post is the third day of the 30-Day AI Testing Challenge and focuses on the many ways AI can be used in testing. The post may include an introduction to the various uses of AI in testing, such as automated testing, defect analysis, performance test optimization, and more. Readers will learn how AI can improve the testing process and increase testing efficiency, as well as the potential benefits of applying AI in testing. This series promises to provide a platform for testing professionals to comprehensively understand and discuss the use of AI in testing.

30 Days of AI in Testing Challenge: Day 2: Read an introductory article on AI in testing and share it

nao.deng ·

30 Days of AI in Testing Challenge: Day 2: Read an introductory article on AI in testing and share it

This blog post is the second day of the 30-Day AI in Testing Challenge and focuses on a session where participants read and share introductory articles related to AI in testing. The post may contain the author's summary and personal opinion of the article read, sharing the potential benefits and challenges of applying AI in testing. Through such sharing, readers are able to better understand the application of AI in testing and prompt other participants to share their insights and promote interactivity of the blog posts. This series promises to provide a platform for testing professionals to gain insights into AI testing.

30 Days of AI in Testing Challenge: Day 1: Introduce yourself and your interest in AI

nao.deng ·

30 Days of AI in Testing Challenge: Day 1: Introduce yourself and your interest in AI

This blog post is about the first day of the 30 Day AI Testing Challenge and introduces the start of the program. The blog post begins on the first day of the challenge and explores participants introducing themselves and their interest in AI. The post may include the author's background, work experience, and expectations for AI testing. This series of challenges promises to provide readers with an opportunity to dive deeper into AI testing and continue to learn, and may also contain some encouragement and motivation to actively participate throughout the challenge.

Bruno API Automation Testing Tutorial: Building a Bruno API Automation Test project from 0 to 1

nao.deng ·

Bruno API Automation Testing Tutorial: Building a Bruno API Automation Test project from 0 to 1

This blog post serves as a tutorial on Bruno API automation testing, guiding readers on constructing a Bruno API automation test project from scratch. The article provides detailed instructions on establishing the foundational structure of a test project, configuring the environment, and writing the first API test case. Through this tutorial, readers will progressively grasp the usage of the Bruno framework, building a comprehensive API automation test project from inception to completion. This process aims to enhance testing efficiency and maintainability.

K6 Performance Testing Tutorial: Common Functions (1) - HTTP Request, Metrics and Checks

nao.deng ·

K6 Performance Testing Tutorial: Common Functions (1) - HTTP Request, Metrics and Checks

The article provides a detailed exploration of the HTTP request functionality in K6, dissecting common performance metrics and check features. Learn how to leverage K6 for robust performance testing, simulating user behavior through HTTP requests, and assessing system response by understanding performance metrics. The tutorial delves into configuring and executing checks, ensuring performance aligns with expected standards. Whether you're a beginner or an experienced performance testing professional, this guide equips you with practical knowledge to harness the full potential of K6 in performance testing. Click the link to embark on an efficient journey into performance testing with K6!

K6 Performance Testing Tutorial: Getting Started and Write your first k6 test script

nao.deng ·

K6 Performance Testing Tutorial: Getting Started and Write your first k6 test script

This article will take you into the world of K6 performance testing. The blog post covers the introductory knowledge of K6 performance testing, environment setup steps, and how to write your first test script. Whether you are a beginner or an experienced performance testing professional, this tutorial will provide you with clear guidance to help you quickly get started with K6 and start building efficient performance testing scripts