Hello Rosie,
my name is Hafizh, I am Information System undergraduate student, i heard the potential of Deepseek Ai could do. therefore, i am interested in learning what QA can do when everyone can build AI in their own, i am so excited in what i will learn in the next 30 days and hoping to gain this insightful skill. CMIIW my english is my third languange,
Hi Myself Akshay,
I am working as an SDET at Sage Group, over here I am involved in E2E QA process where I contribute in Automation and Manual Testing, I have started exploring AI from last 1 year and I started it with Chat GPT and now working with GitHUB co-pilot and GPT also, I find AI tools very interesting and eagerly want to explore different use cases of AI about QA strategies.
Hey Rosie,
I am Aleesha, I work as a QA engineer in a product based company. Currently working on a SaaS.
I found this community as part of my google search and I was just started to explore this. I am reaching my 2 years of experience in QA and recently got exposed to AI and started to use GPT and cursor.
I wished to know more about how can we integrate AI more efficiently with QA. Any tools and all. I am new to this, recently started automation with playwright. Currently AI is a vast area for me. No idea where to start or what to search/Ask. So Waiting for all people’s insights and thoughts.
Best Regards,
Aleesha
Hi I’m Sampo, or some of you may already know me as Havunen in Github.
My background is mostly in development side of things, but I have always had a strong focus on testing, both in implementing test automation as well as leading our R&D teams testing processes to next level.
Recently I founded a company called AutoExplore where we are building autonomous software testing tool. The idea with this tool is to have an assistant for R&D teams that continuously tests the products or service and provides feedback for the team about its findings.
I would love to hear from you about your challenges in quality assurance and learn from each other.
BR. Sampo
Hi everyone, I’ve just found this 30 Days with AI series, and I’m also aware that it started a year ago. It might be late for me to start this series now, but I’m still very excited to join. Therefore, I will start from Day 1 and introduce myself here.
My name is Phuong, and I have about 13 years of experience in software testing. I’ve found AI to be incredibly useful in my daily life—it helps me a lot with communication, documentation, and education. I strongly believe it can also be valuable in my professional field, testing. However, I’m still in the process of exploring its potential. I hope that after 30 days with AI in this series, I will find my answer.
Day 1: Introduction – 30 Days of AI in Testing Challenge
Hi everyone! 
I’m Stef Ruseva, a passionate Manual and Automation Test Engineer with 3 years of experience in software quality assurance. I’ve had the opportunity to work across various types of applications, and I’m always on the lookout for ways to make testing smarter, faster, and more effective.
My interest in AI in testing started when I realized how AI could automate repetitive tasks, predict potential defects, and even assist with test coverage analysis. I’m particularly intrigued by AI-powered test case generation, prompt engineering, and AI’s potential role in accessibility and security testing.
My goals for this challenge are to:
I’m excited to connect, learn from all of you, and share my journey throughout these 30 days. Let’s explore how AI can truly elevate the craft of software testing! 
#30DaysOfAI #AIinTesting #QualityAssurance #PromptEngineering #TestAutomation #AITestingChallenge
Hello, My name is Roberto.
I work as a QE and before as a QA in several companies.
I am looking forward to learn and introduce AI in my daily work as a QE.
Hi @Rosie , This is Rashmi from India working as Senior Staff Software Test Engineer , I have found this community 6 years back but was not actively engaged here. But I see the value of MOT now .
My Interest in AI started as every Org began to add the AI in full SDLC cycle including testing . Everywhere the AI is trending and everyone wants to get productive with the AI . I want to get started with it such that i can continuously learn and start building my competency including AI .
My goal is to learn how can I effectively use AI in functional / Non-functional testing area such that I can make a most of it to become productive and deliver the product with quality and scale .
Happy to learn and contribute to this community 
Hi everyone! I’m Minh Thu
I’m currently exploring the field of software testing with a strong curiosity for how emerging technologies like AI are transforming quality assurance. My background is in tech support and QA for web applications, and I’ve recently started diving deeper into test automation and exploratory testing. I found this community while looking for real-world resources and shared experiences to grow faster and more practically.
What really piqued my interest in AI is how it’s helping testers go beyond traditional manual and scripted approaches. The idea of using AI to predict bugs, improve test coverage, or generate smart test cases fascinates me. I’m especially curious about AI-powered test automation, visual validation, and how machine learning can support regression testing.
My Goals for This Challenge:
. Understand how AI tools are being practically applied in testing workflows
. Learn to evaluate when and where AI makes sense in testing (not just hype!)
Connect with like-minded testers and professionals experimenting in this space
. If possible, try out or build a small AI-enhanced testing project by the end of the month
Hi!
My name is Armando, and I’m currently working as a Software Development Engineer in Test, doing automation for the Web application we’re developing (and a little bit of API automation).
I have about 8 years of experience doing testing. And, before switching into testing, I used to be a developer for about 2 years using .NET technologies. Right now I’m using Playwright, Postman, GHA and Elixir for my testing purposes.
About AI: I use it especially when I want to create code to automate specific (complex) HTML elements of the product I’m testing. Also, I use it to refactor code and get ideas. I tried to give it some chances to create full scenarios (vibe coding), but it started to hallucinate and then I decided to continue doing the things manually aided with AI. I just remember two cases where everything was successful using AI: when I translated my old CircleCI configuration to GHA, and when I was looking for a way to store my Playwright reports in a repository to then read them like in AWS S3.
On the other hand, I see AI with some suspicion, especially because of the current layoffs (not only on the testing side but in the development field too).
One of the things I would like to achieve using AI is to create a full project by just doing vibe coding, but without the AI hallucination problems jeje. Let’s see how it goes 
.
@rosie
Hi everyone! I’m Ramanan, a Software Test Engineer with a strong interest in exploring how emerging technologies like AI can improve and evolve the way we test.
I’ve been part of the MoT community for a while now and love how supportive and knowledge-rich it is. My interest in AI in testing started when I noticed how often repetitive or time-consuming tasks could potentially be improved or automated using AI-driven tools. Whether it’s smarter test data generation, visual testing, or predicting high-risk areas—AI opens up some really exciting possibilities.
Through this 30-day challenge, I’m hoping to:
Looking forward to learning together and seeing how others are approaching AI in testing. 
Let’s do this! 
Hi everyone 
I’m Daria, a QA Manager and QA Lead working with automation and hybrid QA teams.
Over the past year, I’ve been experimenting with AI tools like ChatGPT and Claude to improve QA workflows — from test data generation to flaky test diagnosis.
I’m especially interested in advanced prompting and how AI can become a real testing partner, not just a helper.
Excited to connect and exchange ideas with others exploring AI in testing! 
An update for everyone on this thread.
Check out these two wonderful courses by Rahul Parwal (@parwalrahul ).
Hi everyone!
I’m Céline, a Senior QA Engineer from France with over 20 years of experience in the industry. My career has mostly been focused on IVVQ for complex and critical systems, particularly in Defense and IoT (NFC, RFID, and industrial sensors).
I recently reached a milestone by becoming ISTQB Full Advanced certified. While my background is deeply rooted in traditional and industrial testing, I am now very curious about how AI can be integrated into the testing lifecycle. I’m especially interested in learning how AI could help optimize test strategies for complex systems or improve automation efficiency without compromising reliability.
Looking forward to learning from this community and exploring the future of AI in testing with you all!
Feel free to connect: https://cv.demongeot.org
There are introduction threads each quarter you might want to look at, so I’ll focus on my interest in AI.
I guess you could say may main interest is in the amount of thought that goes into both creating the inputs, prompts, or instructions to AI. Then on how much investigation and examination we do on the output. With made up facts, halucinations, unwavering levels of confidence in garbage some AI has. We have to be smarter in how we use it, and how we gain trust in what it produces. And that all comes down to how we think when we use it. In my humble opinion.