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We’re excited to announce our first AI Testing Vlogathon, and we’re inviting YOU to participate and showcase your creativity and technical prowess! 

This isn’t just another contest—it’s your chance to connect with fellow innovators, share your expertise, and earn recognition for your work. Oh, and did we mention the prizes? 

To showcase the power of AI in testing, we’re launching a Vlogathon where you can submit 1-5 minute videos on some thrilling AI testing topics. 

💡 Topics to Choose From: 

 🎥 Test Case Generation: Show how AI creates test cases from simple requirements, like a login form, and covers scenarios like empty fields or invalid inputs. 

 🎥 Defect Prediction: Use AI to predict high-risk areas in code and demonstrate how it highlights bug-prone modules for better testing focus. 

 🎥 Automated Test Script Maintenance: Show how AI updates broken test scripts after UI changes, saving time and effort. 

🎥 Your Own Topic! Got a unique idea on how AI solves testing challenges? This is your chance to share it and inspire others.

🎁 Prizes for the Top 3 Winners: 

  • 🥇 1st Place: A prize amount valued at $100
  • 🥈 2nd Place: A prize amount valued at $50, plus a book of your choice
  • 🥉 3rd Place: A prize amount valued at $50

But that’s not all! Participants with exceptional entries will also receive certificates of recognition and badges to flaunt in our community. 

📅 Key Dates to Remember: 

  • Submission Deadline: Dec. 18
  • Assessment Period: Dec. 18-20 
  • Winners Announced: Dec. 20

🌟 How It Works: 

  • Community Votes: Rally your network to vote for your video. Votes will be open until the assessment period. 
  • Expert Board Review: Our expert panel will evaluate videos based on creativity, clarity, and technical depth. 
  • Final Scores: Community votes + expert evaluations = our winners! 

🎬 How to Participate: 

  1. Create a 1-5 minute original video on any of the topics listed above. 

  1. Submit your video (the file or a link) in the comments. 

  1. Promote your video and encourage your community to vote! 

🗳️ Who Can Vote? 

 Anyone! (Except yourself 😉) Ask your friends and colleagues to cast their votes and help you climb the leaderboard. 

Don’t miss this opportunity to share your knowledge, educate others, and win prizes. Let’s put AI testing in the spotlight! 

📗Use these resources to get inspiration: 

Questions? Need help? Reach out to us at shiftsync@tricentis.com. 

Get ready to innovate, inspire, and win! 

🚀 Thrilled to Announce My Entry in the AI Testing Vlogathon! 🚀

I’m  excited to share my project IntelliGen—a RAG-based Generative AI chatbot that’s redefining the way we approach testing!

About IntelliGen

IntelliGen is a versatile  tool designed to simplify  testing processes by harnessing the power of Azure OpenAI, LangChain, and Gradio. The application offers two core modes:

🔹 Design Mode:

  • Generate test cases from requirement documents in a structured format.
  • Create detailed test plans and strategies based on release notes.
  • Automatically generate and manage Jira Epics and User Stories, integrating test cases seamlessly.

🔹 Ops Mode:

  • Summarize automation and performance test reports using AI.
  • Analyze log files and identify defects with detailed insights.
  • Integrate with Jira to summarize issues and propose solutions.

Why Did I Build It?

After years of experience in the software testing domain, I know how laborious it is to analyze requirement documents to develop test scenarios and automation scripts. So, I thought—why not automate the whole process?

What Can IntelliGen Do?

1️⃣ Ask Me Anything: Ask questions, and it responds like a smart teammate.

2️⃣ Chat with Documents: Upload files (Word, PDF, Excel, PowerPoint etc.)and it chats with them.

3️⃣ Test Case Generator: Creates manual or automated test plan and test cases from requirements.

4️⃣ Report Summarization: Simplifies automation and performance reports into key insights.

5️⃣ Log Analysis: Analyzes logs to identify and explain failures.

 

🤖 Powered By:

  • LLM: Azure OpenAI GPT-4 O Mini (smart and cost-efficient!)
  • Vector Store: FAISS (open-source and budget-friendly!)
  • UI: Gradio (because simplicity is key).
  • Framework: Langchain (for all the heavy lifting).
  • Embedding Model: Text Embedding Large 3

I have attached a zip file containing the demo recording. This particular demo highlights the tool's chatbot capabilities, where users can ask any query and receive answers. It also demonstrates summarizing the requirement document, generating test cases from the requirement document, and automating test scripting using Pytest. Furthermore, the tool can export the test cases in a proper tabular format in Excel.

https://bit.ly/3D1mGfs


Shift Sync Community managers - As always, you're the best at conducting activities that are definitely useful for all of us. Kudos, Team!

To the community - For those who are getting started on integrating GenAI in your testing life cycle, I suggest you check out TestingTitbits by ​@parwalrahul  and for prompting basics, the Prompting Guide

@Kat - Thanks for sharing those noteworthy resources. The content is excellent.

I tried to record the video multiple times as the content I wanted to cover was extensive. This final attempt is what I got the correct output for. And I hope, the attached Mindmap covers it and speaks a lot🚀.

I've attached my video as a Zip file, and I hope you'll enjoy it. Just drop me a message so we can discuss AI further.

A quick like 👍 would be appreciated, but a detailed comment would be a real treat! 🍬


Thank you for sharing this information 


Thank you for sharing this valuable information.


Good blog


Shift Sync Community managers - As always, you're the best at conducting activities that are definitely useful for all of us. Kudos, Team!

To the community - For those who are getting started on integrating GenAI in your testing life cycle, I suggest you check out TestingTitbits by ​@parwalrahul  and for prompting basics, the Prompting Guide

@Kat - Thanks for sharing those noteworthy resources. The content is excellent.

I tried to record the video multiple times as the content I wanted to cover was extensive. This final attempt is what I got the correct output for. And I hope, the attached Mindmap covers it and speaks a lot🚀.

I've attached my video as a Zip file, and I hope you'll enjoy it. Just drop me a message so we can discuss AI further.

A quick like 👍 would be appreciated, but a detailed comment would be a real treat! 🍬

Thank you Dinesh for sharing this information 


Shift Sync Community managers - As always, you're the best at conducting activities that are definitely useful for all of us. Kudos, Team!

To the community - For those who are getting started on integrating GenAI in your testing life cycle, I suggest you check out TestingTitbits by ​@parwalrahul  and for prompting basics, the Prompting Guide

@Kat - Thanks for sharing those noteworthy resources. The content is excellent.

I tried to record the video multiple times as the content I wanted to cover was extensive. This final attempt is what I got the correct output for. And I hope, the attached Mindmap covers it and speaks a lot🚀.

I've attached my video as a Zip file, and I hope you'll enjoy it. Just drop me a message so we can discuss AI further.

A quick like 👍 would be appreciated, but a detailed comment would be a real treat! 🍬

Great article


Performance Testing of LLM

https://drive.google.com/drive/folders/1hK1Xh6LXmVyAqB-lwmB2pgoo0UDOJjCQ?usp=drive_link


I am more on the practical side and made a small 5 minute example of how you can use AI, your Browser to make your work faster and easier.

 

Check the video below

 

https://www.youtube.com/watch?v=eVQIP3c1jVw


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