TribeQonf 2025 is officially SOLD OUT! Thank you for the love. See you in Bengaluru.
What's Happening This TRIBEQONF
Here are all the Topics to Lookout for in 2025 Edition
The Unseen Hands Behind your Context: Safeguarding MCP Servers
Jaydeep Chakrabarty
Head of AI in Tech, Piramal
You’ve just wired your AI assistant to an MCP server so it can rummage through files, hit APIs, and push code on command. Productivity soars—until a stray prompt, poisoned tool description, or over-permissive OAuth scope turns that same server into an attacker’s fast lane.
This talk unpacks the sweet spot where convenience meets fresh risk. We’ll start with a no-jargon walkthrough of how Hosts, Clients, and Servers trade context, then surface three failure modes already catching teams off-guard: prompt “line-jumps,” token-scope creep, and malicious tool stowaways—each illustrated with a quick real-world snippet to show how easily it happens.
After that, the focus shifts to mitigation. Instead of a fixed recipe, we’ll survey the evolving toolbox—authorization hygiene, context filtering, sandboxing options, runtime observability, and community scanners—highlighting what’s working in the field and where open questions remain. Expect actionable pointers you can tailor to your own stack rather than a one-size-fits-all checklist.
Whether you’re wiring up new tools, vetting third-party servers, or deciding how soon “just integrate the model” should ship, you’ll leave knowing where the traps are—and how to chart a security path that keeps pace with MCP’s rapid evolution.
- Exploratory Testing
How Gen AI Redefines Testing and Quality Leadership
Mahesh Venkataraman
MD - Automation and Technology, Accenture
Generative AI is reshaping the fundamentals of software engineering in general and software testing in particular and quality leadership is shifting the focus from validation to intelligent adaptation, resilience, and trust in AI-driven decision-making. As software becomes increasingly autonomous and self-learning, traditional testing models face new challenges—blurring the lines between testing, monitoring, and operations while introducing emergent risks.
Quality leaders must redefine assurance strategies, navigate AI-driven trade-offs, and ensure transparency, explainability, and alignment with business objectives. This session explores the strategic imperatives for leaders to rethink quality paradigms and drive AI-augmented excellence in the enterprise.
- Exploratory Testing
Rise of the Machines: AI’s Conquest of Automation Testing
Soumya Mukherjee
ML Architect, MAANG
In software automation testing, AI is taking charge—writing tests, adapting on the fly, and hunting bugs with unmatched precision. This talk uncovers how autonomous test automation is slashing tedium, outpacing human smarts, and jeopardizing the traditional automation tester’s gig. Real-world tools are already driving efficiency and slashing costs, prompting companies to rethink staffing. But testers who harness AI can lead the charge. Get ready for a bold dive into the data, the upheaval, and the skills to rule this new era.
- Exploratory Testing
Strategic Considerations for Designing Reward-Driven Multi-Agent Ecosystems
Aparana Gupta
Director of Eng, Microsoft
In an age where autonomous agents must do more than operate – they must drive strategy – this 45-minute session equips C-level leaders with strategic frameworks and design considerations for composing reward-driven multi-agent ecosystems. You’ll explore how to translate top-line objectives into incentive mechanisms, select scalable coordination architectures, embed governance and ethics at the core.
- Exploratory Testing
The 10x Tester: How do I (thoughtfully) multiply my productivity with AI
Vignesh Srinivasan
Senior SDET, SumUp
Transform your QA productivity with the magic of AI in this dynamic, hands-on session. Watch as seemingly impossible testing workloads dissolve before your eyes through practical, real-time demonstrations that turn theory into immediate results. Discover how to thoughtfully harness AI as your personal productivity multiplier, slashing time-intensive tasks by up to 80% while enhancing quality.
- Exploratory Testing
Don’t Ask Me for the Prompt!
Pradeep Soundararajan
Founder & CEO , Moolya
Everyone is using A.I. but not everyone is using it to go deep. How about learning how to go deep by reverse engineering a prompt from the output of A.I.? In this talk, Pradeep will show you the output of A.I. in testing and ask you what prompt got this output. Through this – Pradeep will probe and ask questions that enable you to think in directions you (probably) never thought of to use A.I. for enabling you to do deep work. While you go deep in prompting for testing – he would highlight his discoveries and bring the expertise of building a product that also has A.I. to enable deeper testing. This is a great place and talk to be for all Tribers.
When you meet him, don’t ask him for the prompt.
He won’t be sharing it with you.
- Exploratory Testing
Intelligent Automation Continuum : Evolution of Quality with AI
Sobhitha Neelanath
Sr. Manager, Software Engineering, Salesforce
The session will talk about the different phases of the Intelligent automation continuum and how test automation has evolved in to more advantageous AI augmented solutions. It would also touch upon the transformation of the future of QA with AI for improved reliability and efficiency while being sustainable and ethical.
- Exploratory Testing
Test Data Must Die : The Destroyer's Guide to Automated Cleanup
Raneesh Choudhary
Lead QE, Adobe
Reliable automation starts with control over your test environment — and that also includes eliminating leftover data. This session explores the role of automated cleanup in creating predictable, isolated, and reproducible test runs. The session will cover why test data must be treated with high priority before its too late, and how cleanup strategies can be embedded into every layer of your framework.
From framework level handling to db scripts, attendees will learn key principles and techniques for maintaining a clean state before and after execution. The focus is on mindset, patterns, and practical starting points. The session will also discuss about specific tools — making this session applicable across stacks and teams.
- Exploratory Testing
Closed-Loop Testing with AI Agents: Learning from Production
Vinayak Hegde
Ex-Principal AI Advocate, Microsoft
In most software systems, the testing process ends at deployment. But what if testing didn’t stop — and instead evolved in real-time, guided by what users actually do in production? This talk explores how AI agents can monitor logs, telemetry, and user interactions to detect anomalies, learn system behavior, and dynamically generate new test cases. We’ll dive into real-world techniques for integrating generative models into observability stacks, closing the loop between production and pre-prod environments. Along the way, we’ll examine tools, patterns, and risks of letting AI take part in live QA—turning your test strategy into a living, adapting system.
- Exploratory Testing
What's Happening This TRIBEQONF
Here are all the Topics to Lookout for in 2025 Edition
Don’t Ask Me for the Prompt!
Pradeep Soundararajan
Founder & CEO , Moolya
Everyone is using A.I. but not everyone is using it to go deep. How about learning how to go deep by reverse engineering a prompt from the output of A.I.? In this talk, Pradeep will show you the output of A.I. in testing and ask you what prompt got this output. Through this – Pradeep will probe and ask questions that enable you to think in directions you (probably) never thought of to use A.I. for enabling you to do deep work. While you go deep in prompting for testing – he would highlight his discoveries and bring the expertise of building a product that also has A.I. to enable deeper testing. This is a great place and talk to be for all Tribers.
When you meet him, don’t ask him for the prompt.
He won’t be sharing it with you.
- Exploratory Testing
Intelligent Automation Continuum : Evolution of Quality with AI
Sobhitha Neelanath
Sr. Manager, Software Engineering, Salesforce
The session will talk about the different phases of the Intelligent automation continuum and how test automation has evolved in to more advantageous AI augmented solutions. It would also touch upon the transformation of the future of QA with AI for improved reliability and efficiency while being sustainable and ethical.
- Exploratory Testing
The Unseen Hands Behind your Context: Safeguarding MCP Servers
Jaydeep Chakrabarty
Head of AI in Tech, Piramal
Harinee Muralinath
Director, Thoughtworks
You’ve just wired your AI assistant to an MCP server so it can rummage through files, hit APIs, and push code on command. Productivity soars—until a stray prompt, poisoned tool description, or over-permissive OAuth scope turns that same server into an attacker’s fast lane.
This talk unpacks the sweet spot where convenience meets fresh risk. We’ll start with a no-jargon walkthrough of how Hosts, Clients, and Servers trade context, then surface three failure modes already catching teams off-guard: prompt “line-jumps,” token-scope creep, and malicious tool stowaways—each illustrated with a quick real-world snippet to show how easily it happens.
After that, the focus shifts to mitigation. Instead of a fixed recipe, we’ll survey the evolving toolbox—authorization hygiene, context filtering, sandboxing options, runtime observability, and community scanners—highlighting what’s working in the field and where open questions remain. Expect actionable pointers you can tailor to your own stack rather than a one-size-fits-all checklist.
Whether you’re wiring up new tools, vetting third-party servers, or deciding how soon “just integrate the model” should ship, you’ll leave knowing where the traps are—and how to chart a security path that keeps pace with MCP’s rapid evolution.
- Exploratory Testing
From Automation to Autonomy: Scaling Digital Transformation with GenAI and Agents
Mallika Fernandes
Managing Director, Accenture
As technology rapidly evolves, the speed of software releases is no longer a barrier. But scaling digital transformation demands more than just fast delivery — it requires intelligent, continuous validation of application behavior at scale.
In this session, I’ll explore how Generative AI and Autonomous Agents are reshaping the way we approach digital quality. By moving from traditional automation to intelligent autonomy, we can unlock new levels of efficiency, accuracy, and scalability in digital assurance.
- Exploratory Testing
The 2026 Roadmap for Aspiring QA Leaders
Ajay Balamurugadas
Head of Customer Success and Strategy, PostQode
This talk is for testers who want to grow into QA leadership—not by waiting for a promotion, but by taking charge of their growth. I’ll share what I believe the role of a QA leader will look like in 2026, and how testers can start preparing today. We’ll talk about shifting from just executing to driving clarity, building systems thinking, communication, and learning how to stay relevant in an AI-heavy world. I’ll also share how to spot disguised opportunities around you, how small experiments shape your growth, and why learning to learn is the real differentiator. No titles needed—just consistent action, curiosity, and ownership.
- Exploratory Testing
Evolving your QA Skill Set: ETL Testing in the Age of LLMs
Rahul Shetty (Venkatesh)
QA Instructor @ 1 Million Learners Udemy
Large Language Models (LLMs) learn and perform based on the information they’re given. For powerful tools like RAG (Retrieval Augmented Generation) LLMs, it’s even more critical that they are trained and fed with accurate, relevant data from our own products and systems to ensure they truly understand and interact effectively with our customers. This session will explore a fundamental question: how do we ensure the data we’re sending to these intelligent LLMs is correct, complete, and unbiased?
We’ll discuss how data often comes from many different sources, needing to be gathered and prepared (a process known as ETL – Extract, Transform, Load). ETL testing plays a crucial role in validating this data, ensuring it is accurate, consistent, and clean before it trains the LLM. This preparation isn’t just about shaping the data for business needs, but also about making sure it meets ethical standards and avoids introducing unfair biases. We will highlight how even small errors or flaws in this data can lead to serious problems for the LLM, such as giving out wrong information, showing unwanted biases, or simply performing poorly. Join us to learn how proper data testing acts as a crucial safeguard, guaranteeing your LLMs are built on a solid foundation of quality data, leading to better customer interactions and more reliable AI
- Exploratory Testing
Test Data Must Die : The Destroyer's Guide to Automated Cleanup
Raneesh Choudhary
Lead QE, Adobe
Reliable automation starts with control over your test environment — and that also includes eliminating leftover data. This session explores the role of automated cleanup in creating predictable, isolated, and reproducible test runs. The session will cover why test data must be treated with high priority before its too late, and how cleanup strategies can be embedded into every layer of your framework.
From framework level handling to db scripts, attendees will learn key principles and techniques for maintaining a clean state before and after execution. The focus is on mindset, patterns, and practical starting points. The session will also discuss about specific tools — making this session applicable across stacks and teams.
- Exploratory Testing
Panel: QA Leadership in the AI Era — Strategy, Skills and Success
Pradeep Soundararajan
Founder & CEO, Moolya
Mallika Fernandes
Managing Director, Accenture
Jaydeep Chakrabarty
Head of AI in Tech, Piramal
As AI continues to redefine the testing landscape, QA leaders face the critical task of guiding their teams through change. This panel explores how to craft a winning AI adoption strategy, develop new skills and mindsets, put strong governance in place, and measure ROI and impact effectively. Learn how to balance innovation with risk and lead your organization confidently into an AI-augmented future.
- Exploratory Testing
How Gen AI Redefines Testing and Quality Leadership
Mahesh Venkataraman
MD - Automation and Technology, Accenture
Generative AI is reshaping the fundamentals of software engineering in general and software testing in particular and quality leadership is shifting the focus from validation to intelligent adaptation, resilience, and trust in AI-driven decision-making. As software becomes increasingly autonomous and self-learning, traditional testing models face new challenges—blurring the lines between testing, monitoring, and operations while introducing emergent risks.
Quality leaders must redefine assurance strategies, navigate AI-driven trade-offs, and ensure transparency, explainability, and alignment with business objectives. This session explores the strategic imperatives for leaders to rethink quality paradigms and drive AI-augmented excellence in the enterprise.
- Exploratory Testing
Strategic Considerations for Designing Reward-Driven Multi-Agent Ecosystems
Aparana Gupta
Director of Eng, Microsoft
In an age where autonomous agents must do more than operate – they must drive strategy – this 45-minute session equips C-level leaders with strategic frameworks and design considerations for composing reward-driven multi-agent ecosystems. You’ll explore how to translate top-line objectives into incentive mechanisms, select scalable coordination architectures, embed governance and ethics at the core.
- Exploratory Testing
Closed-Loop Testing with AI Agents: Learning from Production
Vinayak Hegde
Ex-Principal AI Advocate, Microsoft
In most software systems, the testing process ends at deployment. But what if testing didn’t stop — and instead evolved in real-time, guided by what users actually do in production? This talk explores how AI agents can monitor logs, telemetry, and user interactions to detect anomalies, learn system behavior, and dynamically generate new test cases. We’ll dive into real-world techniques for integrating generative models into observability stacks, closing the loop between production and pre-prod environments. Along the way, we’ll examine tools, patterns, and risks of letting AI take part in live QA—turning your test strategy into a living, adapting system.
- Exploratory Testing
Using AI to Think Like a QA Strategist
Fathima Harris
Quality Analyst, Lead Consultant, ThoughtWorks
Crafting a strong QA strategy is tough—especially in new domains or with evolving tech. It’s slow, uncertain, and demands structured thinking. That’s where AI comes in—not as a replacement, but as a thought partner to help generate ideas, explore options, and speed up decisions.
The key is using the right tools: ChatGPT or Perplexity for research, Napkin for visual thinking, and others based on the task. But tools alone aren’t enough. You need well-crafted prompts that provide context and guide AI toward useful insights.
Still, human judgment matters. AI can assist, but knowing when to validate, adapt, or ignore its input keeps your strategy real. Real-world examples and templates make it easier to apply all this in practice—turning AI into a valuable ally in your QA journey.
- Exploratory Testing
Resurgence of Quality Engineering with AI
Niranjan Srinivasan
Senior Vice President and Service Offering Head, Infosys
This talk will cover the evolution of Software 2.0, Generative AI, and Agentic AI, setting the context for how modern software systems are increasingly being built and operated with intelligent components. It will then explore the Quality Engineering paradigm shift, examining how traditional practices are being reimagined in light of these advancements. The session will focus on AI for Quality Engineering – how do we leverage AI in the realm of quality engineering, including practical applications and emerging tools. Next, it will look at Quality Engineering for AI systems – the bigger opportunity!, emphasizing the unique challenges and responsibilities associated with validating and assuring AI models. Finally, the talk will discuss how the profile of a Quality Engineer will change, outlining the new skills, roles, and mindsets needed to succeed in this evolving field.
- Exploratory Testing
The 10x Tester: How do I (thoughtfully) multiply my productivity with AI
Vignesh
Senior SDET, SumUp
Transform your QA productivity with the magic of AI in this dynamic, hands-on session. Watch as seemingly impossible testing workloads dissolve before your eyes through practical, real-time demonstrations that turn theory into immediate results. Discover how to thoughtfully harness AI as your personal productivity multiplier, slashing time-intensive tasks by up to 80% while enhancing quality.
- Exploratory Testing
Agentic AI: Autonomy in Testing – Benefits & Challenges
Rajalakshmi Srinivasan
Director - Product Management, Zoho
Test automation tools are slowly evolving to create near perfect test cases with AI prompts, analyzing critical areas for defects and to generate insights. Leveraging ML algorithms and LLMs, test automation platforms can scrutinize patterns, scale for test environments and optimize test strategies. However, the keyword here is patterns. What if there are anomalies in software that cannot be classified as patterns? Manual technical expertise is indispensable in these scenarios. Yes, Agentic AI can help save time and optimize resources, but only when the AI algorithms are trained to look for pre-determined errors.
While test automation itself provides autonomy to testers/ DevOps, there are chances of errors during the manual intervention such as setting logic or changing element names, which can be reduced by Agentic AI.
This session further discusses the benefits and challenges in Agentic AI in test automation.
- Exploratory Testing
Stop Building AI Castles on Sand: Foundations First, Agentic AI Can Wait
Rahul Verma
Senior Consultant & AI Coach ,
Trendig Solutions GmbH
Agentic AI is in fashion. Too many testing teams are sprinting straight for Agentic AI, only to trip over weak prompts, fractured context, and brittle integrations. In this talk, we’ll reframe Agentic AI as the ultimate learning and implementation goal, not Day 1. You’ll learn why learning and mastering each foundational layer builds the scaffolding you need for reliable, maintainable agents. There are more than a dozen incremental steps—everything from prompt hygiene and custom-assistant patterns to API function-calling and vector-search—before ever designing an agent. These are not the foundations you want to skip. By the end, you’ll have a clear learning roadmap that ensures your first agentic experiment is a triumph, not a train wreck.
- Exploratory Testing
Panel: AI-Augmented Testing - Use Cases and Trend
Aparana Gupta
Director of Engineering Microsoft
Rahul Verma
Senior Consultant & AI Coach, Trendig Solutions GmbH
Vinayak Hegde
Ex-Principal AI Advocate, Microsoft
Discover how AI is reshaping software testing from generating intelligent test scenarios and synthetic test data, to resilient self-healing automation and insightful results analysis, all while keeping the human-in-the-loop where judgment and oversight matter most. Explore the journey toward more autonomous testing and learn practical ways to enhance coverage, reduce maintenance, and deliver higher quality faster, without losing critical human control.
- Exploratory Testing
Revolutionizing QE:
An Automation-First Approach with AI & Smart Analytics
Ajesh Viswambharan
Director of QA,
BrowserStack
In today’s fast-paced development landscape, traditional QA approaches often become bottlenecks. This session will explore how an “Automation First Approach,” powered by AI and intelligent analytics, can revolutionize quality assurance processes, leading to significant improvements in efficiency, cost savings, and overall software quality. We’ll delve into practical strategies for integrating automation seamlessly into the CI/CD pipeline, leveraging AI for test authoring and analysis, and gaining actionable insights from quality engineering metrics.
- Exploratory Testing
Get your TribeQonf Brochure and, plan ahead!
What attendees Learned last year
Here are the Topics
ARTIFICIAL INTELLIGENCE
AI-Augmented Testing: How Generative AI and Prompt Engineering Turn Testers into Superheroes, Not Replace Them
ARTIFICIAL INTELLIGENCE
The AI Imperative: Essential Advances in Quality Engineering
QUALITY ENGINEERING
Revolutionizing Quality Engineering: Breaking Orthodoxy, Shaping the Future
ARTIFICIAL INTELLIGENCE
Pattern Thinking for Prompt Engineers: A Case Study in Test Design
CAREER SUCCESS
Navigating Your Career Journey: Strategies for Growth and Success
ARTIFICIAL INTELLIGENCE
The Future of Quality Assurance: Paving the Way to Strategic Partnership
FAQ’s
Have any questions?
TribeQonf is an offline conference happening in Radisson Blu Bengaluru Marathahalli Junction – Outer Ring Road.
TribeQonf is happening on 11th July and 12th July, 2025 in Bangalore.
For Full day pass, The recordings will be shared for upto 6 months. For one day pass, Recording will be shared for the day you have attended for upto 1 month.
You can bring in your testing peers to register for the event and join The Test Tribe community. You can spread the word on social media using the hashtag #TribeQonf and tag us.
The event will happen on 11th July and 12th July for 8-9 hours each day.
You can share the list of participants with First Name, Last name, Email address, Country, Organisation, Designation with us at [email protected] and we will bulk register your teams after confirming on possible discount.