Name: Risk Based Testing in the Age of AI | New York Meetup
Start: 2026-01-28T23:00:00.000Z
Location: 307 West 38th Street, New York, NY 10018, studio 1401

The Test Tribe 11th Berlin Meetup – Making QA Work Smarter with Generative AI

Generative AI is no longer a future concept-it’s already reshaping how QA engineers design tests, debug failures, write documentation, and even collaborate with development teams. But beyond the buzzwords, many testers are still asking the same questions: How do I actually use AI in my day-to-day work? What makes a good prompt? And where does agentic AI really fit?
At the 11th Berlin Meetup, we’ll cut through the hype and focus on practical, QA-first applications of Generative AI, showing how testers can work smarter today and prepare for an agent-driven tomorrow.

**Event Details**
Date: 20th January 2026
Time: 6:00 PM – 9:00 PM CET
Venue: SumUp (Entrance via Lange Straße)
Koppenstraße 8, 10243 Berlin, Germany

Session: Making QA Work Smarter with Generative AI - From Prompts to Agentic AI
Speaker: Vignesh Srinivasa Raghavan

**Introduction**
Generative AI is rapidly reshaping how Quality Assurance engineers approach their daily work-from test design and automation to debugging, documentation, and reporting (yes, even writing Jira tickets 😄).

This session is a practical, QA-focused introduction to Generative AI, designed to help testers move beyond curiosity and into real, day-to-day usage. Rather than abstract theory, the focus is on how QA engineers can use AI to work faster, think better, and reduce repetitive effort-without losing control or judgment.

You’ll learn how prompt engineering dramatically impacts the quality of AI outputs and get a glimpse into Agentic AI, where autonomous AI agents can assist testers across workflows in the near future.
Attendees will leave with actionable ideas they can immediately apply in their QA roles.

**Key Takeaways**

* Understand what Generative AI is and how it applies specifically to QA workflows
* Learn practical prompt engineering techniques to get better results from AI tools
* Discover different prompt types for testing, automation, and documentation
* Get an introduction to Agentic AI and how it can amplify tester productivity

**About the Speaker**
Vignesh Srinivasa Raghavan is a Lead SDET with 11+ years of experience in Software Automation Testing, specializing in Web, Mobile, API, and Performance Testing.
He is also an experienced trainer with 9+ years of teaching experience, having trained 7,000+ students globally. Vignesh is a top-rated Udemy instructor and regularly conducts corporate training sessions, both online and offline.

Expertise & Tools

* AI: Generative AI for QA, Agentic AI for QA
* Web Automation: Playwright, Cypress, Selenium, WebdriverIO
* Mobile Automation: Appium, Espresso, XCUITest
* API Automation: RestAssured, Postman, Karate, Katalon
* Performance Testing: Gatling, JMeter
* Languages: Java, JavaScript, TypeScript, Python, Kotlin, Scala

Vignesh is deeply passionate about helping QA engineers embrace modern tools and future-ready practices while staying grounded in strong testing fundamentals.

Why You Should Attend

* Learn how QA engineers can practically use Generative AI today
* Improve productivity without compromising quality or ownership
* Understand prompt engineering through a tester’s lens
* Get early insights into Agentic AI and its impact on QA
* Connect with Berlin’s growing QA and testing community
* Be part of The Test Tribe’s 11th Berlin Meetup

About The Test Tribe
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe Berlin

TheTestTribe

Botros Attia

Divya Komadam

Sara Bayoumy

Srividhya L

Tjasa

Rohit

Arpit Bajpai

Tomas

Kirthika

Muralidharan Adhimoolam

sorabh vasudeva

Ali Hamza

Anup Bhade

deepanm1209

Hitesh Gupta

Sergey

Yurii Ranishenko

Liubomyr Shvets

Making QA Work Smarter with Generative AI | Berlin Meet-Up

SumUp Services GmbH

AI is rapidly becoming part of everyday engineering workflows-but what does it look like when it’s applied inside large-scale, real-world product teams? Beyond demos and experiments, how does AI actually help teams move faster, improve quality, and make better decisions?
In this session, we go behind the scenes with the Azure DevOps team at Microsoft to explore how AI is being used in practice today-where it delivers clear value, where it still falls short, and what’s coming next.

**Event Details**

* Date: Wednesday, 21st January 2026
* Time: 5:45 PM – 8:30 PM MT
* Venue: InceptionU - 800 3 St SE, 3rd Floor, Calgary, AB T2G 0E7

**Session:** How Microsoft Product Teams Leverage AI in Testing (and Beyond)
**Speaker:** David Paquette, Principal Software Engineer

In this talk, David Paquette shares how engineers on the Azure DevOps team are leveraging AI to improve software quality and accelerate delivery.

You’ll learn:

* How AI is being applied across testing and engineering workflows
* New and upcoming AI-powered features currently in development
* Where AI is genuinely helping teams today
* Where AI isn’t helping yet-and why

This is an honest, practitioner-led look at AI in action inside one of the world’s most widely used developer platforms-focused on lessons learned, real trade-offs, and practical outcomes.

**Key Takeaways**

* How large product teams use AI to improve testing and quality
* Practical examples of AI-enabled workflows inside Azure DevOps
* Clear insight into AI’s current limitations in real engineering environments
* A realistic view of how AI helps teams move faster-beyond hype

**About the Speaker**
David Paquette is a Principal Software Engineer at Microsoft, working on the Azure DevOps team. Before joining Microsoft, Dave spent over a decade building software for financial, agricultural, and energy companies, specializing in .NET and web development. His experience spans building scalable systems, improving developer workflows, and delivering reliable software at scale.

David brings a pragmatic, engineering-first perspective on AI-focused on what actually works in production environments.
🔗 LinkedIn:[ https://www.linkedin.com/in/david-paquette-a7997b7/](https://www.linkedin.com/in/david-paquette-a7997b7/)

**Why You Should Attend**

* Learn how AI is used inside real Microsoft product teams
* Understand where AI adds value-and where it doesn’t (yet)
* Get insights directly from an Azure DevOps engineer
* See beyond demos to real-world engineering trade-offs
* Connect with Calgary’s QA, testing, and developer community

**About The Test Tribe**
The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.

By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe Calgary

Kate Bazunova

Anna Kumova

Lavanya Mohan

Luis Andrade

Vaishali Mittal

Natalie

Andrii Bazhura

Fareen

Olena Petrusha

Susannie Vhil Tiempo

Wander

Asha Fazis

Morozko

Oksana A

Nidhay

David Paquette

Dang Duong

athiraapnair

How Microsoft Product Teams Leverage AI in Testing (and Beyond)

InceptionU

Hello Testers,
After the passionate response to our past offline events in other cities, we’re here to bring you all together in Mumbai!

We’ve brought The Test Tribe **34th Mumbai Meetup** to all of you.

**Excited to Know When It’s Happening?**
Date: **24th January 2026**
Time: 10:30 AM to 01:30 PM IST
Venue: **91Springboard Lotus**
No.20 Plot No. D, 5th Rd, Shree Krishna Nagar, Marol MIDC Industry Estate, Andheri East, Mumbai, Maharashtra 400093

**Session 1: How testers reason through ambiguity: Decision-making in testing when AI Is in the Loop**
In testing, teams invest significant effort in dealing with flaky tests—tests that behave inconsistently even when the code and test logic remain unchanged. In practice, however, much of the variability in testing outcomes comes from changing environments and demands: wanting tests to be done quickly or thoroughly, working with a new tool or improving testing reliability with the present tool, working with more empowerment as opposed to doing only what is told and making short term and long term plans that work well with other non-testing teams too. These conditions require testers to continuously adjust how they interpret results, assess risk, and define “good enough” quality.
This session focuses on how tester should adapt to these changing testing conditions. Using scenario-based exercises, participants will examine the decisions testers make when context shifts. The session is experiential and reflective, not instructional, and helps participants recognize how clearer judgment, better review conversations, and deliberate challenge can reduce variability in testing outcomes.

**Key Takeaways**
1\. Shaping quality decisions when context changes\.
2\. Clarifying risk and uncertainty when blind spots surface in everyday testing conversations\.
3\. Creating space for dissent and review to build real confidence around coverage and release risk\.

**About the Speaker:**
Chinmaya Lovekar, Founder, QualityFilter.

Apart From Everything Above, We Got Many More Remarkable Opportunities:
\- To meet like\-minded people
\- Conversations with other testers
\- Discussion on impressive testing tools & topics
\- Talking about the challenges facing as a testers
\- Quick chat opportunity\, where one can speak out about testing for 100 seconds

About The Test Tribe:
The Test Tribe is the World’s Largest Software Testing Community, empowering global testers since 2018. We drive upskilling and growth through Expert Courses, Memberships, Cohorts, Mixers, and Events. With **800+ events** and **165K+** members in **152+ countries**, we foster collaboration, learning, and career growth.

​Check out our upcoming Events list [here ](https://www.thetesttribe.com/events/). Join thousands of other Testers in the [community.](https://discord.gg/qAUBd2vP)
By RSVPing this event, you agree to have read our [Terms and Conditions](https://www.thetesttribe.com/website-terms-conditions/) and the [Privacy Policy](https://www.thetesttribe.com/our-privacy-policy/), and also agree to be contacted by us and BrowserStack, with whom we are collaborating for this event.

The Test Tribe Mumbai

vikasgiri2242

nixon nelson

Hardik Chotaliya

Mitansh Jadhav

Nupur Ogale

Om Korade 

safasayed0104

Rohan Prasad 

Amit Walanj

Santosh Chanda

saibharti03

Saniya Patil

kundarkartejas5

Nikita

Rutuja 

Gaurav Girkar

Dev Radia

Ramchandra Patade

Prajwal

How testers reason through ambiguity | 34th Mumbai Meetup

91 springboard Lotus

Green Testing: AI-powered sustainable QA; meetup for QA testers to learn how to cut test waste and speed delivery.

The Test Tribe 6th SFO Meetup
​
AI is transforming how software is built and tested—making it faster, smarter, and more sustainable. This meetup brings together industry experts to share practical insights on using AI to reduce testing waste, accelerate development, and deliver high-quality, scalable products. Join us for an evening of learning, innovation, and community connection.

​Event Details

* ​**Date:** 27th January 2026 (Tuesday)
* ​**Time:** 6:00 PM – 8:00 PM PST
* ​**Venue:** 1631 N First St, Suite 200

​Session 1: Green Testing – Integrating Sustainability into Software Testing with AI
​
**Speaker:** Manoj Singhal, Software Engineer at Opaque Systems
​
**Overview**
Software testing plays a crucial role in delivering high-quality products—but it also comes with a growing environmental cost. Large enterprises routinely run 5,000–10,000 nightly test cases, consuming 12–24 hours, while weekly cycles often exceed 60,000 test cases, spanning multiple days.

​Nearly 50% of testing resources are often spent on redundant or low-priority tests, leading to wasted compute, energy consumption, and unnecessary infrastructure load.

​Green Testing represents a shift toward smarter, more sustainable testing practices. By integrating Artificial Intelligence (AI) into the testing lifecycle, organizations can analyze code changes, prioritize relevant test cases, eliminate redundant runs, and dramatically reduce resource consumption—while maintaining or improving quality outcomes.

​This approach not only cuts waste and speeds up releases, but also aligns tech organizations with global sustainability goals, proving that quality engineering and eco-conscious innovation can go hand in hand.
​
**Key Takeaways**

* ​What Green Testing is and why sustainability matters in modern QA
* ​How AI makes testing faster, smarter, and more resource-efficient
* ​How organizations can reduce testing waste, improve speed, and contribute to environmental responsibility
* ​Why Green Testing is a win-win strategy for both business performance and the planet

​
**About the Speaker – Manoj Singhal**
Manoj Singhal is a Senior Member of IEEE with more than two decades of experience across leading technology companies including Symantec, IBM, HGST, and Cohesity. His expertise spans high-quality scalable system design, virtualization, cloud computing, distributed systems, and advanced data management.

​A passionate advocate for Quality Engineering, AI, and innovation, Manoj is currently focused on integrating AI and Machine Learning into next-generation QA practices. He holds a Master’s degree in Electrical Engineering from IIT Delhi and has been recognized for his patented innovations and research contributions at top-tier international conferences.

​Session 2: How AI + Vibe Coding Can Transform an Idea into a Live, Scalable Product
​**Speaker:** Jyoti Prakash
​
**Overview**
This session explores how modern AI tools combined with **vibe coding** can dramatically accelerate the journey from a raw idea to a fully functional, production-ready application. Attendees will gain practical insights into leveraging AI across UX design, coding, and cloud deployment—enabling rapid experimentation, scalability, and real-world impact.
​
**Key Takeaways**

* ​From Idea to Live App — Powered by Vibe Coding
* ​UX Design with AI
* ​AI Coding Agents & Intelligent IDEs
* ​Cloud-Ready Deployment with Firebase & AWS

​
**About the Speaker – Jyoti Prakash**
With 17+ years of comprehensive software engineering expertise, Jyoti Prakash is a distinguished Quality Engineering Architect who seamlessly bridges development and testing domains. Bringing a strong 7-year development background and over 10 years of hands-on software testing experience, he offers a truly holistic approach to software quality.

​Jyoti specializes in crafting innovative testing strategies, enabling AI-driven engineering practices, and driving large-scale quality transformation initiatives that help organizations build faster, smarter, and more reliable products.

​Why You Should Attend

* ​Learn how AI can drastically reduce test execution waste and speed up delivery
* ​Explore real-world techniques to integrate sustainability into QA
* ​Understand how Green Testing contributes to corporate ESG goals
* ​Discover how AI-powered development accelerates product delivery
* ​Connect with San Francisco’s QA, engineering, and tech community at our 6th city meetup

​About The Test Tribe
​The Test Tribe is the world’s largest software testing community, empowering testers globally since 2018. With 700+ events and 150K+ members across 130+ countries, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.

​By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe San Francisco | Testers & QA Meetups

Apar Jain

John Hill

Ivan Demianchuk

Yuliia Boiko

Thilak Mohan

Zarina Sharakhmetova

Jayaprabhakar kadarkarai

Sophia Quinn

Bhavani Krithivasan

Christy Vuong

Sangeetha

Green Testing: Smarter, Faster & Sustainable | Bay Area Meetup | QA | Testers

#200

Talk for QA testers on risk-based testing in AI era, with practical guidance on how AI strengthens risk analysis and early risk detection for better coverage.

**Risk-Based Testing in the Age of AI: What Changes, What Doesn’t**

AI is accelerating how software is built-but it doesn’t change the fundamentals of good testing.

In fact, it makes them more important than ever.
Risk-based testing has long been a proven approach for delivering value under real-world constraints. In this session, Jess Ingrassellino explores how AI and automation align naturally with risk-based testing-not as replacements for strong testing practices, but as powerful force multipliers.

As development speed increases dramatically with AI tooling, testers must be even more deliberate about identifying risk early, communicating it clearly, and making informed decisions about what will and will not be tested. This talk focuses on how AI can strengthen each stage of that process-while keeping human judgment firmly at the center.

Expect a practical, grounded discussion that separates real value from hype and shows how AI can support smarter, more intentional testing.

**Event Details**

* **Date: 28th January 2026 (Wednesday)**
* **Time: 6:00 PM – 8:00 PM (Local Time)**
* **Venue: 307 W 38th St, Studio 1401, New York, NY 10018, US**A

**Session: Risk-Based Testing in the Age of AI: What Changes, What Doesn’t**
**Speaker: Jess Ingrassellino**

**Key Takeaways**

* Why risk-based testing remains essential-even in AI-accelerated teams
* How AI strengthens (not replaces) strong testing fundamentals
* Ways AI can help identify, document, and communicate risk earlier
* Practical examples of AI-assisted test data generation and coverage analysis
* How AI supports exploratory testing and evolving risk models
* Where human judgment remains irreplaceable in quality decisions

**About the Speaker**
Jess Ingrassellino is a leader, educator, and musician driven by a passion for growth, creativity, and meaningful change. Her career spans technology, education, and the arts-each grounded in a belief in lifelong learning and equitable impact.

She holds four advanced degrees, including a Doctorate in Educational Assessment, and is currently pursuing her fifth degree in Software Engineering. As an engineering leader, Jess specializes in building high-impact teams, solving complex problems, and driving strategic initiatives.
As an educator, she has developed curricula, taught Python to students aged 8–18, and trained teachers to integrate technology in thoughtful, inclusive ways. As a professional violinist, she uses music as a medium for reflection and connection.

Across all her work, Jess is committed to authenticity, equity, and helping individuals and organizations grow with intention.

**Why You Should Attend**

* Learn how AI enhances risk-based testing without undermining fundamentals
* Gain clarity on where AI adds real value in QA workflows
* See how to balance speed, coverage, and quality in AI-accelerated teams
* Hear a thoughtful, experience-driven perspective-free from hype
* Connect with New York’s QA and testing community at the 5th NYC meetup

**About The Test Tribe**

**The Test Tribe** is the world’s largest software testing community, empowering testers globally since 2018. With 7**00+ events** and **150K+ members** across **130+ countries**, we bring testers together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.

By RSVPing, you agree to our Terms and Conditions and Privacy Policy and consent to be contacted by The Test Tribe and our event partners.

The Test Tribe New York | Testers and QA Meetups

Milly

Mike Pham

Sadhir Razaak Nazer 

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Moiz Ahmed

Liz W

Fausto

Raja Shiva Ram Patel

Daniel L

Gigi Gilsinan

sarthak patnaik

Alexandra Li

Siddharth Dua

Risk Based Testing in the Age of AI | New York Meetup

307 West 38th Street, New York, NY 10018, studio 1401

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