Invite-only QA & Tech Leadership Conference
Invite-only Conference gathering Bangalore’s top QA & Tech Leaders
- 10th April, 2026
- Bangalore
PREMIER SPONSOR
150 Invited Leaders Shaping the Future of Engineering, Quality, and AI in Business.
Leaders attending from these companies
QonfX
Conversations that matter
Shipping Faster
Responsible AI
Agentic AI
AI in Testing
Leadership
AI Security
Leadership Sessions
Expert Panel
Fireside Chat
Leadership
Networking
Live Demos
What is QonfX?
QonfX is our leadership-focused, invite-only conference that gathers top Engineering, QA, and Business Leaders under one roof to discuss the Present and Future of Software. Quality, AI, Leadership, and more. Designed to create focused conversations and high-value connections.
We’ll be hosting these exclusive gatherings in key cities across the US, Europe, and India, bringing together the region’s most influential leaders who are shaping the next decade of software quality and engineering.
Speakers
Speakers from Past Edition
Conference Topics
SF Bay Area
Talk: The Swiss Cheese Defense - Multi-Layer Testing in the Age of AI Agents
AI agents are shipping code faster than your test suite can keep up. As engineering leaders, we can no longer rely on testing strategies built for human-paced development. This talk introduces a multi-layered approach to verification in the age of autonomous code – inspired by the Swiss cheese model of risk management – and shares hard-won lessons from scaling testing strategy at a Series E company where AI is increasingly writing the first draft.
Luca Bonmassar
Exploratory Testing
Functional Testing
SF Bay Area
Talk: Engineering Trust in Agentic AI
As enterprises move from deterministic software to autonomous AI agents, traditional testing models are no longer sufficient. Agentic systems reason, plan, and act across applications — introducing non-determinism, emergent behaviors, and new categories of risk.
In this keynote, Kaushal Kurapati, who leads AI Agents platform initiatives at Oracle, explores how quality engineering must evolve from test automation to autonomous assurance. He will outline a new enterprise framework for validating AI agents — spanning model reliability, reasoning traceability, guardrails, governance, and runtime controls — and discuss how QA leaders can redefine their role in an era where intelligence itself must be governed.
Kaushal Kurapati
Exploratory Testing
Functional Testing
SF Bay Area
Talk: Faster Code, Faster Risk - Why Testing Is the New Control Plane
AI-assisted development has fundamentally shifted the velocity of software engineering. The constraint is no longer how fast teams can write code, it is how confidently they can verify it to ship it.
Tools like Copilot, Claude, Codex have dramatically increased development velocity, enabling engineers to generate features, integrations, and refactors at unprecedented speed. But as code volume scales, so does risk often in ways that are subtle, compounding, and difficult to detect.
AI-generated code is syntactically correct and may even be contextually relevant. What it is not is accountable. It does not understand organizational business logic, regulatory obligations, threat model, or customer trust boundaries. Without strong verification mechanisms, organizations risk accelerating technical debt, security exposure, compliance gaps, and systemic fragility.
In this talk, we will explore why traditional notions of testing are no longer sufficient in the AI era. Testing is no longer a downstream quality check, it is becoming the control plane for modern software delivery. We will examine how validation, security testing, and risk-based verification must evolve to match machine-scale code generation, and how product and security leaders can embed guardrails without slowing innovation.
The organizations that win in the AI era will not be those that generate the most code but those that can prove, continuously and at scale, that their systems are correct, resilient, and secure.
Siva I.
Exploratory Testing
Functional Testing
SF Bay Area
Panel Discussion: AI in the SDLC - Engineering Workflows in the Age of AI
The first wave of AI in software engineering introduced assistive tools that helped developers generate code, tests, or documentation faster. Today, engineering teams are beginning to experience the next shift where AI systems participate directly in development workflows.
From proposing code changes and generating validation artifacts to triggering actions within build and release pipelines, AI is moving beyond code suggestions into execution across the Software Development Lifecycle (SDLC). This evolution is gradually transforming how requirements are translated into implementation, how validation is integrated into delivery pipelines, and how software changes flow from idea to production.
This panel brings together engineering leaders to explore how development and delivery workflows are evolving from AI-assisted practices towards models where AI becomes an active participant in build, test, and release processes.
Yan Xie
Aswin Natarajan
Pankaj Bavishi
Exploratory Testing
Functional Testing
SF Bay Area
Panel Discussion: Engineering Leadership in an Autonomous World
As AI evolves from being a coding assistant to operating as an autonomous agent, the DNA of engineering organizations is undergoing a fundamental transformation. This shift calls for a new Engineering Quotient – one that blends systems thinking, deep domain expertise, and algorithmic governance. In this panel, leaders from Banking, Pharma, and Fintech share how their roles and responsibilities are adapting in real time to this emerging reality.
We explore which traditional roles are truly being displaced and which are being redefined and elevated. Is the ‘Junior Developer/Tester’ becoming obsolete, or is the role transforming into that of an ‘AI Orchestrator’? We examine how AI adoption varies across industries and why the journey toward autonomy looks markedly different for agile startups compared to highly regulated enterprises. Join us as we rethink legacy productivity metrics and address the Domain Velocity Gap-the friction that arises when AI-driven speed intersects with regulatory rigor in regulated industries.
Aprajita Mathur
Payal Fofadiya
Sukalyan Chakraborty
Exploratory Testing
Functional Testing
Last Year's Conference Topic
All
Berlin
Toronto
Virtual
San Francisco
Berlin
Shifting Accessibility Testing Left and Why AI Won't Safe You
In order to create accessible products you need to start as early as possible in the process. Accessibility can not be automated or outsources and needs everybody’s involvement for it to become a feature of your products rather than a release blocker or compliance tickbox
Christian Heilmann
Toronto
The Generative AI Revolution A Compass for Test Leaders Through Change
In today’s ever-evolving tech landscape, anticipating and adapting to change is not just a skill—it’s a necessity for test leaders, especially with the rise of Generative AI. As projects face immediate market pressures from investors and endure heightened scrutiny from an increasingly skeptical customer base, test leaders must navigate not only technological disruptions but also significant…. Read More
Robert Sabourin
Berlin
The Obvious, the Obscured, and the Illusion: Navigating the Noise of GenAI in Testing
In a world brimming with innovations and solutions, the journey to using GenAI in testing is often shadowed by a paradox: the obvious truths become hidden behind layers of noise, and illusions arise in their place. Rahul peels back the layers that veil judgment. This talk explores the essence of problem-solving, questioning whether the challenges we face have already been resolved by existing tools or if they demand the unique touch of new technology. Why do we reach for GenAI, and what does it promise to solve that others cannot? And ultimately, can the old and new coexist, each serving its rightful purpose, without clouding our vision? Rahul unravels these questions and more, guiding you through the path where clarity unfolds itself. Through a real-world case study, he will illustrate how GenAI can be leveraged meaningfully, emphasizing how understanding and restraint are key to sifting through the noise and seeing the obvious with renewed eyes. This keynote is a call to embrace both simplicity and innovation, to cut through the illusions, and to navigate the path where GenAI is not just noise, but a genuine part of the testing story.
Rahul Verma
Berlin
From Data to Insights: Applying RAG in Software Testing
Retrieval-Augmented Generation (RAG) is transforming software testing by enhancing efficiency, accuracy, and scalability. It combines information retrieval with generative AI, enabling automated test artifact generation and improving knowledge retrieval for QA teams. One of its key benefits is automating test artifact generation by analyzing historical data, user stories, and documentation to create structured test cases .… Read More
Maiia Sviatchenko
Toronto
GenAI-assisted Test Automation
Generative AI can be used to create content such as text, images, or even code, and it finds applications in many different areas. GenAI is also a tool that can assist us with test automation. Like any other tool, the value of GenAI comes not just from its intrinsic properties but from how we use it, where we use it, the context, and so on. In this talk, I will share some of my experiences with GenAI-assisted test automation. We will explore several effective ways to leverage GenAI in test automation, identify areas where it can accelerate our work, and examine…. Read More
Lavanya Mohan
Toronto
When the Demo Works But Production Fails: Leading Quality in the AI Era
In today’s rapidly evolving development landscape, quality leadership faces unprecedented challenges as AI integration makes applications increasingly non-deterministic. Ben Hofferber draws from his extensive experience at The Link, Rangle.io, and Hint Services to illuminate the core problems quality leaders must address when “user acceptance doesn’t validate system resilience.” … Read More
Ben Hoefferber
San Francisco
The Future of Testing: AI-Driven Quality Engineering Practices
Niranjani Manoharan
San Francisco
Building the Bridge Between Browser Automation and AI Agents with WebdriverIO
Engineers integrating AI agents into test automation solutions face significant challenges in communicating application state effectively, requiring translation of DOM structures into semantic representations while capturing dynamic state changes across multiple contexts.
In this interactive session using Webdriver.io, attendees will learn practical implementation techniques for enabling AI agents to simplify browser automation.
Christian Bromann
Hyderabad
Talk: Engineering & Leadership Excellence in the Age of AI
The rise of intelligent systems is reshaping what it means to build, scale, and lead in technology. Engineering leaders today must deliver at unprecedented speed while ensuring every layer—architecture, data, and human decision-making—remains trustworthy. Charu unpacks how the craft of engineering is evolving as AI becomes an active participant in design, testing, and delivery. She discusses how to lead teams that balance experimentation with discipline, translate complexity into clarity, and build systems that improve with every release. The session offers a forward look at how excellence in 2026 will be defined not just by performance, but by responsibility, resilience, and the ability to lead through constant change.
Charu Srinivasan
Hyderabad
Talk: Agentic Systems — The Next Step in Autonomous Engineering & Quality
Jaydeep Chakrabarty
Hyderabad
Talk: Leading for Quality in the Age of AI
As AI becomes embedded in products and processes, the meaning of “quality” is shifting. Vanya focuses on how leaders can redefine quality for their teams — not as a phase, but as a shared mindset that guides decisions, behaviours, and standards. She explores how to create clarity around expectations, build cross-functional ownership, and shape cultures where speed doesn’t override judgment. This talk gives leaders a forward-looking view of how quality evolves when AI influences design, delivery, and user experience — and how strong leadership can keep that quality visible, consistent, and intentional.
Vanya Seth
Hyderabad
Talk: Platform Engineering to achieve Quality with Speed
Swetha Yalamanchili
Hyderabad
Talk: From Test Automation to Intelligent Quality: Unlocking Business Value with AI
Pankaj Kumar
Hyderabad
Fireside Chat: Leading Through Change: How Leaders Build Resilient Teams
Change brings opportunity, but it also brings hesitation, fear, and pushback. In this conversation, Nirmala & Swetha talk openly about the real challenges leaders face when driving new automation or AI initiatives — from resistance on the ground to moments when teams simply aren’t ready. They discuss how to handle tough conversations, address fears of job loss, deal with underperformance, and prevent leaders in the middle from slowing progress.
The session also explores how to upskill teams when capabilities do not match expectations, how to keep people motivated through uncertainty, and how leadership traits have evolved in the AI era. It’s a practical, honest look at what strong, resilient leadership really requires today — clarity, empathy, firmness, and the ability to help teams grow through change rather than fear it.
Nirmala Datla
Swetha Yalamanchili
Hyderabad
Panel Discussion: Accelerating Quality with AI — The Leadership Playbook
Jaydeep Chakrabarty
Prajakt Deshpande
Shiva Kumar RV
Hyderabad
Panel Discussion: Quality in AI - Testing the omnipresent unpredictable
AI systems behave differently from traditional software — they learn, adapt, and sometimes work in ways teams didn’t anticipate. This panel looks at how to bring clarity and control to systems that are always shifting, through three essential lenses: platform engineering built on scalable, open frameworks; data-science methods for observing model behaviour and drift; and product-scale rollout strategies that keep reliability front of mind. The conversation will cover how to test behaviour that isn’t deterministic, how to prepare for failures no one scripted, and how to build trust in AI-rich products using open foundations and real-world practice.
Saurabh Mitra
Shravan Koninti
Shashank Chaturvedi
San Francisco
The Future of Testing: AI-Driven Quality Engineering Practices
n the rapidly evolving landscape of software testing, innovative AI-powered observability platforms are transforming quality engineering practices by automatically detecting patterns and predicting potential issues across complex microservices architectures.
Niranjani’s top tips to revolutionize your testing practices include leveraging custom ML models, building efficient data pipelines, and implementing continuous model training and validation for maximum effectiveness.
Niranjani Manoharan
San Francisco
Building the Bridge Between Browser Automation and AI Agents with WebdriverIO
Engineers integrating AI agents into test automation solutions face significant challenges in communicating application state effectively, requiring translation of DOM structures into semantic representations while capturing dynamic state changes across multiple contexts.
In this interactive session using Webdriver.io, attendees will learn practical implementation techniques for enabling AI agents to simplify browser automation.
Christian Bromann
San Francisco
Panel Discussion: Engineering the Future of Testing and Leadership in the Age of AI
As test automation and AI technologies transform engineering practices, the roles of quality engineers are evolving from manual testers to strategic architects of intelligent testing ecosystems. Engineering leadership must adapt by fostering environments where experimentation with AI is encouraged, creating space for leaders to champion innovative approaches to software quality. This panel of experts from industry-leading companies will share how they’re reimagining software quality through AI-augmented test automation, while establishing new paradigms for engineering leadership that embrace the collaborative potential of human expertise amplified by AI-fueled systems. Learn how upskilling transforms change into opportunity and a panel discussion you won’t want to miss.
Aparijita Mathur
Priyanka Halder
Mala Punyani
Ashwini Purushotham
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Frequently Asked Questions
Yes, QonfX Bangalore is an invite-only, in-person conference.
QonfX is designed for testing and technology professionals, focusing strongly on leadership personas. The event is free to attend.
Apply for QonfX Bangalore. If selected, you’ll receive an exclusive invitation to join.
Invites are released based on limited slots available for each persona/seniority and are granted on a first-come, first-served basis.
No—in-person attendees must use their reserved invites. To ensure fairness, do not apply unless you can commit to attending. instead.
QonfX Banglore will be held on April 10, 2026, from 9:30AM IST.
QonfX is an invite-only event, and we aim to bring together a diverse group of attendees across various roles and expertise. While we have limited slots available, invitations are extended on a first-come, first-served basis to ensure a well-rounded representation of industry professionals.
Thanks for your interest! We’ll email you with the details if we have a spot for you. If not, we’ll notify you and keep you on standby for any last-minute openings.
No, invitations are non-transferable. If you are unable to attend, please let us know in advance.
No, session recordings will not be shared, as QonfX is an invite-only, in-person event.
We appreciate your interest in contributing to QonfX! Here’s how you can get involved:
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