We’re taking a short 10-minute break. During this time, take a moment to explore the virtual booths to learn more about BrowserStack’s products and how they can enhance your testing workflows. You can also visit the lounges to connect with our technical experts, ask questions, or have a quick chat. We’ll be back shortly with more sessions and insights - stay tuned.

Low-code tools and traditional frameworks are often framed as competitors-but many teams use both. This discussion examines hybrid models that combine accessibility with engineering rigor. Panelists will share decision matrices, onboarding strategies, and governance models that balance speed with scalability.

AI can accelerate testing-but transformation only happens when teams evolve with it. This keynote explores how forward-thinking organizations are moving beyond tool adoption to operational reinvention. We’ll examine how AI-driven automation, observability, low-code frameworks, and accessibility practices are reshaping team structures, workflows, and accountability models. Through real implementation stories, discover how engineering and QA leaders are building adaptive, data-driven, and inclusive quality organizations.

Software testing is at a massive inflection point, but separating the genuine breakthroughs from the noise is harder than ever. In this candid fireside chat, we sit down with Jason - a pioneer who helped write the first lines of Selenium and shape modern test automation - to explore what the AI era actually means for everyday engineering teams.We will start by diving into the underappreciated power of WebDriver BiDi, exploring how this foundational standard shifts the calculus in the ongoing tooling debates. Moving beyond basic browser automation, Jason will unpack the fundamental shift from traditional, deterministic scripts to AI-native, non-deterministic testing. You will discover the quiet ways AI is transforming API, performance, and security testing, and how agentic tools are challenging the decade-old "shift-left" mantra. Expect a grounded, real-talk session that exposes the gap between shiny AI demos and actual engineering realities, leaving you with a clear, hype-free roadmap for where quality truly lives in a modern, AI-first Software Development Life Cycle.

As automation grows, manual testing is becoming more strategic-not obsolete. Panelists will explore how exploratory testing, domain expertise, and risk-based thinking are evolving in an AI-assisted world. Learn how organizations are redefining manual testing roles to emphasize critical thinking, creativity, and product insight.

We’re taking a short 10-minute break. During this time, take a moment to explore the virtual booths to learn more about BrowserStack’s products and how they can enhance your testing workflows. You can also visit the lounges to connect with our technical experts, ask questions, or have a quick chat. We’ll be back shortly with more sessions and insights-stay tuned.

Production data often reveals uncomfortable truths. In this discussion, leaders reflect on how logs, traces, and user behavior metrics exposed critical coverage gaps in their pre-release testing strategy. Learn how they closed feedback loops between SRE and QA teams, re-prioritized regression suites, and built observability-informed test design practices.

Most teams test what has already broken. But what if testing could anticipate risk? This talk dives into how defect trends, production telemetry, and AI-driven pattern recognition were used to inform sprint-level testing priorities. By shifting from reactive bug-fixing to predictive risk modeling, this organization reduced escaped defects and improved release confidence. You’ll walk away with a framework for using historical data to design smarter test strategies.

Representation is not the same as influence. This session highlights organizations that moved beyond diversity statements to measurable structural change. Learn how mentorship programs, sponsorship initiatives, transparent promotion frameworks, and allyship training have strengthened leadership pipelines and improved team culture across QA organizations.

Innovation deserves recognition. In this special segment, we celebrate the individuals and community leaders pushing quality engineering forward across cities and organizations. We’ll announce the winners of our live challenges and competitions, recognize standout contributors, and honor the most impactful Chapter Leaders driving learning and collaboration in their regions.

Day 1 showcased the technology, strategies, and bold ideas redefining quality engineering. In this closing session, we’ll distill the most powerful insights-from autonomous workflows to smarter automation architectures-and connect them into a practical action plan. What should you experiment with next? What conversations should you start internally? And how do you prepare your teams for AI-driven testing without creating disruption? This session ensures you leave with clarity, not just inspiration.

AI didn't make me a better tester overnight. It took trial, error, and a lot of honest reflection to figure out where it actually helped and where it got in the way. In this session, I'm sharing what that process really looked like - the wins, the gaps, and the practical model I landed on: centaur mode, where the human stays in the loop and AI amplifies what you already bring to the table. We'll look at how human-AI collaboration works in a real QA workflow, not just in theory, and I'll walk you through what I actually changed, what I measured, and what you can start applying right away.

APIs are an important part of systems. They store key business rules and have the advantage of being built in a fragmented way, allowing for truly early testing. Bugs in APIs tend to be critical because they affect many interfaces (whether other APIs or even UIs). Given this criticality, we need to develop truly effective tests and use truly efficient approaches. But how? By leveraging all our technical testing knowledge and employing traditional test design techniques, exploratory testing, and, of course, functional and non-functional test automation. This knowledge is so important that without it, it would be nearly impossible to justify the tests performed. A tester with this knowledge can use GenAI responsibly to accelerate their work in each of these activities, especially with code editors with built-in GenAI at their disposal.I’ve been using these technologies in my projects, and with them, I’ve been able to significantly accelerate my work and that of my team by improving API test design, automating functional and non-functional tests, and executing all of this in pipelines. In this talk, Julio will present technical concepts of API architecture (controllers, services, models, API specs, etc.), test design, test automation, and pipeline configuration. And then, he will guide the audience through how to use GenAI to implement each of these activities and increase productivity. Julio will begin by building a simple API using GenAI, running it, designing tests, automating them, and deploying them in a pipeline.

For years, developers have relied on heavy, bloated API testing tools that force mandatory logins, cloud lock-ins, and sluggish performance. As engineering teams move faster, your API client shouldn't be the bottleneck slowing you down.Beyond core performance upgrades, you will get an exclusive look at our brand-new AI-enabled API Test Authoring Agent, designed to automate complex API test generation directly within your workflow. Whether you are mocking responses, modifying headers on the fly, or running automated scripts, discover how the open-source Requestly ecosystem is supercharging daily QA and development. Join us to see why hundreds of thousands of developers are making the switch to a faster, privacy-friendly, and truly modern API testing experience.

If you have used software, you have likely come across messages that made you pause and think “Did a human write this?” Information, errors, warnings and other alerts can be incredibly unhelpful and sometimes even misleading. But why is it so hard to tell us what happened and what we need to correct to do what we want to do? Well, the truth is there are a lot of perspectives to balance and they often clash.Messages tell a story. A story of choices, of compromise and of the world they live in. They leave a trail of breadcrumbs and following the clues might even show us the way to problems hiding underneath. From the often crisp and immediate messages in frontend validation to the multi-time translated notifications originating from a database or an integrated service, there are lots of hints to pick up on.In this session we will look into how different parts of the tech stack deal with validations, errors and other types of information to the user, how to guess which part of the stack they are from and how we can use that to do better testing. We will look at examples, look into their strengths and weaknesses and why it is so hard to design the perfect message. The goal is to level up our testing by better understanding what the system is actually trying to tell us.

In an ever-changing tech landscape, it’s easy to feel overwhelmed, stuck, or unsure how to keep up. I’ve been there. Throughout my career in testing and engineering enablement, I was constantly learning and evolving - but still found myself questioning the value I was adding and what I was truly capable of.That reflection led me to explore a different path. Through my studies in Applied Organizational Psychology, I discovered the concept of job crafting - and a new way to approach growth, impact, and fulfillment at work.In this fireside chat, we’ll explore how testing professionals can intentionally shape their roles to better align with their strengths, values, and the needs of their teams. We’ll connect practical techniques with psychological research, including what drives motivation at work - like autonomy, variety, feedback, and a clear sense of impact.We’ll also challenge the idea that growth is just about working harder or learning more. Drawing on research from Adam Grant and others, we’ll look at how developing “soft” skills - like embracing discomfort, learning from failure, and improving how we learn - can unlock greater potential.Attendees will leave with actionable ways to rethink their role, navigate change more confidently, and craft work that is both more meaningful and more impactful.

Scaling a QA function is more than hiring-it’s rethinking structure, ownership, and influence. In this candid discussion, engineering leaders share the operational and cultural changes required to grow from a small QA team to a global quality engineering organization. Topics include redefining career ladders, preventing siloed automation, aligning with DevOps, and maintaining quality standards during hypergrowth.

We’re taking a short 10-minute break. During this time, take a moment to explore the virtual booths to learn more about BrowserStack’s products and how they can enhance your testing workflows. You can also visit the lounges to connect with our technical experts, ask questions, or have a quick chat. We’ll be back shortly with more sessions and insights-stay tuned.

Testing surfaces failure-which makes psychological safety essential. In this conversation, leaders share how they redesigned review rituals to encourage healthy dissent, elevate junior testers, and foster inclusive discussions around defects and risk. We’ll explore how inclusive practices improved bug discovery rates and reduced burnout across teams.

Behavior-Driven Development revolutionized collaboration between product and testing, but what happens when your newest teammate is an AI coding agent? As AI-assisted development accelerates, the role of BDD is evolving from a testing practice into the core discipline that drives the entire development lifecycle.In this hands-on session, Andrew will explore a practical framework for applying BDD to AI-assisted web application development. Through a live, from-scratch build, attendees will see how structured context files and explicit rules guide an AI agent through the entire process. Andrew will demonstrate how "Discovery" becomes intentional rubber-ducking with AI, how "Formulation" rapidly produces clear executable Gherkin scenarios, and how "Automation" evolves beyond basic test scripts into full agentic code generation, execution, and iterative repair. Attendees will leave with a concrete model for using BDD as a unified development process, practical techniques for crafting high-signal context, and a repeatable workflow that turns conversational intent into highly reliable software.

Breaking a monolith into microservices often breaks automation first. This conversation explores the structural and architectural changes required to realign test frameworks with evolving system boundaries. Leaders share how they shifted toward service-level contracts, redesigned integration coverage, and prevented duplicated effort across teams-all while maintaining delivery velocity.

Forward-thinking teams are feeding logs, traces, and metrics back into their test design. Discover how integrating observability into CI pipelines helped one organization detect silent failures earlier and redesign regression strategy using real usage data.

Over the past two days, we’ve explored how testing is evolving-from automation strategy to inclusivity and observability-driven feedback loops. This closing session ties together the human and technological threads of transformation. We’ll reflect on the biggest mindset shifts, the most compelling implementation stories, and the emerging patterns shaping the future of quality engineering. Most importantly, we’ll challenge you to move from learning to leadership in your own organizations.

Browser and computer use agents are everywhere, but finding one that works natively with real mobile devices using open-source models is nearly impossible. Major frameworks lock teams into proprietary LLMs, leaving them stuck with per-token billing and privacy concerns. To solve this, Ahmad built a completely custom, open-source alternative.In this session, Ahmad will walk attendees through the engineering behind a zero-cost, privacy-first mobile use agent that takes plain English instructions and autonomously executes them on real Android and iOS devices. The talk will dive into the three-pillar architecture powering it: LangGraph for stateful orchestration, Qwen vision and language models served locally via Ollama, and Appium for actual device interaction. Ahmad will explain why complex mobile flows require a continuous plan-execute-verify loop rather than simple prompt-responses, and provide an honest look at how open-source vision models actually perform against proprietary giants. Attendees will see a live demonstration of the agent in action and walk away with a complete, replicable blueprint to wire up their own autonomous mobile testing engine without ever needing an API key.

Everyone is experimenting with AI, but very few are shipping AI tools that engineers actually use every day. In July 2025, Siddhant set out to solve a single problem: slow test case creation. Just five months later, that small internal tool evolved into ATLAS AI, a role-based, RAG-enabled engineering copilot now heavily utilized across testing, development, and product teams.In this hype-free lightning talk, Siddhant cuts straight to the signal, sharing the exact problems that led to building ATLAS AI and the architectural decisions that made it scalable. Attendees will get a candid look at the two features that drove overnight adoption, alongside the critical mistakes that nearly derailed the project. Moving past overloaded buzzwords, this session delivers a real-world case study on building a daily-use AI platform from scratch. You will learn how to identify high-impact AI use cases within your own engineering teams, drive genuine adoption rather than mere experimentation, and walk away with a proven "Start Small, Scale Fast" framework that you can implement tomorrow morning.

Most engineering teams adopted the "Shift Left" mantra to catch bugs earlier, but in practice, this often just leads to writing more tests rather than better ones. In this session, Kapil Jain will share the hard-learned lessons of scaling automation in a fast-moving CI/CD environment where, despite heavy early testing, critical defects still escaped to production. The solution was not just testing earlier - it was a fundamental move from "Shift Left" to "Shift Smart."Kapil will walk attendees through a real-world pipeline restructuring that abandoned UI-heavy upfront automation in favor of API-first validation, contract testing, risk-based test selection, and strict test data control. By shifting effort from the UI to the API and contract layers, his team drastically reduced defect leakage and stabilized their entire deployment pipeline. Attendees will learn how to identify low-value versus high-impact tests in their current suites and apply a simple framework to decide exactly what to test at which layer. You will walk away with practical steps to redesign your own pipelines for faster, highly reliable feedback, proving that you shouldn't just shift testing left - you need to shift your focus to where it actually delivers value.

Boards don't fund test cases - they fund confidence, growth, and risk control. Yet most quality teams still report in a language executives can't act on: pass rates, coverage percentages, and defect counts. The result? Green dashboards that create false confidence while revenue-impacting risk quietly accumulates underneath.This lightning talk introduces a practical 3-layer translation framework that converts raw engineering telemetry - test failures, flaky rates, escaped defects - into board-ready decision signals like Revenue at Risk, Customer Impact Probability, and Operational Stability Index. Using a real-world payment flow example, the session walks through concrete formulas, a one-page executive snapshot slide you can paste and customize, and a 6-week pilot plan to get started with just two critical business flows.

Modern QA can no longer be defined by the number of bugs found or test cases executed. As software delivery accelerates and systems grow more complex, the real value of QA lies in identifying and mitigating risks before they impact customers. This talk explores the evolution of QA from traditional defect detection to risk-driven quality engineering. Through practical insights and real project experiences, it highlights how QA teams can move beyond execution to become trusted advisors who influence product quality, release confidence, and business outcomes. Attendees will gain actionable ideas on how to build risk awareness, strengthen stakeholder trust, and position QA as a strategic function rather than a support role.

The relationship between a community and the individual is a two-way street - a powerful co-dependency where neither can truly thrive without the other. In this engaging lightning talk, Mirza will explore the profound importance of belonging to a tech community and why those communities desperately need active, engaged members to survive.Moving beyond standard networking advice, this session dives into the tangible benefits of active participation. Mirza will share a highly personal journey of how stepping up to attend and organize tech meetups helped them overcome social shyness and build lasting confidence. Attendees will gain a fresh perspective on the symbiotic nature of community building and leave inspired to take a more active role in the spaces they belong to, unlocking the full spectrum of personal and professional benefits that come from fostering a healthy, engaged community.

We’re taking a short 10-minute break. During this time, take a moment to explore the virtual booths to learn more about BrowserStack’s products and how they can enhance your testing workflows. You can also visit the lounges to connect with our technical experts, ask questions, or have a quick chat. We’ll be back shortly with more sessions and insights - stay tuned.

Low-code tools and traditional frameworks are often framed as competitors-but many teams use both. This discussion examines hybrid models that combine accessibility with engineering rigor. Panelists will share decision matrices, onboarding strategies, and governance models that balance speed with scalability.

AI can accelerate testing-but transformation only happens when teams evolve with it. This keynote explores how forward-thinking organizations are moving beyond tool adoption to operational reinvention. We’ll examine how AI-driven automation, observability, low-code frameworks, and accessibility practices are reshaping team structures, workflows, and accountability models. Through real implementation stories, discover how engineering and QA leaders are building adaptive, data-driven, and inclusive quality organizations.

Software testing is at a massive inflection point, but separating the genuine breakthroughs from the noise is harder than ever. In this candid fireside chat, we sit down with Jason - a pioneer who helped write the first lines of Selenium and shape modern test automation - to explore what the AI era actually means for everyday engineering teams.We will start by diving into the underappreciated power of WebDriver BiDi, exploring how this foundational standard shifts the calculus in the ongoing tooling debates. Moving beyond basic browser automation, Jason will unpack the fundamental shift from traditional, deterministic scripts to AI-native, non-deterministic testing. You will discover the quiet ways AI is transforming API, performance, and security testing, and how agentic tools are challenging the decade-old "shift-left" mantra. Expect a grounded, real-talk session that exposes the gap between shiny AI demos and actual engineering realities, leaving you with a clear, hype-free roadmap for where quality truly lives in a modern, AI-first Software Development Life Cycle.

As automation grows, manual testing is becoming more strategic-not obsolete. Panelists will explore how exploratory testing, domain expertise, and risk-based thinking are evolving in an AI-assisted world. Learn how organizations are redefining manual testing roles to emphasize critical thinking, creativity, and product insight.

We’re taking a short 10-minute break. During this time, take a moment to explore the virtual booths to learn more about BrowserStack’s products and how they can enhance your testing workflows. You can also visit the lounges to connect with our technical experts, ask questions, or have a quick chat. We’ll be back shortly with more sessions and insights-stay tuned.

Production data often reveals uncomfortable truths. In this discussion, leaders reflect on how logs, traces, and user behavior metrics exposed critical coverage gaps in their pre-release testing strategy. Learn how they closed feedback loops between SRE and QA teams, re-prioritized regression suites, and built observability-informed test design practices.

Most teams test what has already broken. But what if testing could anticipate risk? This talk dives into how defect trends, production telemetry, and AI-driven pattern recognition were used to inform sprint-level testing priorities. By shifting from reactive bug-fixing to predictive risk modeling, this organization reduced escaped defects and improved release confidence. You’ll walk away with a framework for using historical data to design smarter test strategies.

Representation is not the same as influence. This session highlights organizations that moved beyond diversity statements to measurable structural change. Learn how mentorship programs, sponsorship initiatives, transparent promotion frameworks, and allyship training have strengthened leadership pipelines and improved team culture across QA organizations.

Innovation deserves recognition. In this special segment, we celebrate the individuals and community leaders pushing quality engineering forward across cities and organizations. We’ll announce the winners of our live challenges and competitions, recognize standout contributors, and honor the most impactful Chapter Leaders driving learning and collaboration in their regions.

Day 1 showcased the technology, strategies, and bold ideas redefining quality engineering. In this closing session, we’ll distill the most powerful insights-from autonomous workflows to smarter automation architectures-and connect them into a practical action plan. What should you experiment with next? What conversations should you start internally? And how do you prepare your teams for AI-driven testing without creating disruption? This session ensures you leave with clarity, not just inspiration.

AI didn't make me a better tester overnight. It took trial, error, and a lot of honest reflection to figure out where it actually helped and where it got in the way. In this session, I'm sharing what that process really looked like - the wins, the gaps, and the practical model I landed on: centaur mode, where the human stays in the loop and AI amplifies what you already bring to the table. We'll look at how human-AI collaboration works in a real QA workflow, not just in theory, and I'll walk you through what I actually changed, what I measured, and what you can start applying right away.

APIs are an important part of systems. They store key business rules and have the advantage of being built in a fragmented way, allowing for truly early testing. Bugs in APIs tend to be critical because they affect many interfaces (whether other APIs or even UIs). Given this criticality, we need to develop truly effective tests and use truly efficient approaches. But how? By leveraging all our technical testing knowledge and employing traditional test design techniques, exploratory testing, and, of course, functional and non-functional test automation. This knowledge is so important that without it, it would be nearly impossible to justify the tests performed. A tester with this knowledge can use GenAI responsibly to accelerate their work in each of these activities, especially with code editors with built-in GenAI at their disposal.I’ve been using these technologies in my projects, and with them, I’ve been able to significantly accelerate my work and that of my team by improving API test design, automating functional and non-functional tests, and executing all of this in pipelines. In this talk, Julio will present technical concepts of API architecture (controllers, services, models, API specs, etc.), test design, test automation, and pipeline configuration. And then, he will guide the audience through how to use GenAI to implement each of these activities and increase productivity. Julio will begin by building a simple API using GenAI, running it, designing tests, automating them, and deploying them in a pipeline.

For years, developers have relied on heavy, bloated API testing tools that force mandatory logins, cloud lock-ins, and sluggish performance. As engineering teams move faster, your API client shouldn't be the bottleneck slowing you down.Beyond core performance upgrades, you will get an exclusive look at our brand-new AI-enabled API Test Authoring Agent, designed to automate complex API test generation directly within your workflow. Whether you are mocking responses, modifying headers on the fly, or running automated scripts, discover how the open-source Requestly ecosystem is supercharging daily QA and development. Join us to see why hundreds of thousands of developers are making the switch to a faster, privacy-friendly, and truly modern API testing experience.

If you have used software, you have likely come across messages that made you pause and think “Did a human write this?” Information, errors, warnings and other alerts can be incredibly unhelpful and sometimes even misleading. But why is it so hard to tell us what happened and what we need to correct to do what we want to do? Well, the truth is there are a lot of perspectives to balance and they often clash.Messages tell a story. A story of choices, of compromise and of the world they live in. They leave a trail of breadcrumbs and following the clues might even show us the way to problems hiding underneath. From the often crisp and immediate messages in frontend validation to the multi-time translated notifications originating from a database or an integrated service, there are lots of hints to pick up on.In this session we will look into how different parts of the tech stack deal with validations, errors and other types of information to the user, how to guess which part of the stack they are from and how we can use that to do better testing. We will look at examples, look into their strengths and weaknesses and why it is so hard to design the perfect message. The goal is to level up our testing by better understanding what the system is actually trying to tell us.

In an ever-changing tech landscape, it’s easy to feel overwhelmed, stuck, or unsure how to keep up. I’ve been there. Throughout my career in testing and engineering enablement, I was constantly learning and evolving - but still found myself questioning the value I was adding and what I was truly capable of.That reflection led me to explore a different path. Through my studies in Applied Organizational Psychology, I discovered the concept of job crafting - and a new way to approach growth, impact, and fulfillment at work.In this fireside chat, we’ll explore how testing professionals can intentionally shape their roles to better align with their strengths, values, and the needs of their teams. We’ll connect practical techniques with psychological research, including what drives motivation at work - like autonomy, variety, feedback, and a clear sense of impact.We’ll also challenge the idea that growth is just about working harder or learning more. Drawing on research from Adam Grant and others, we’ll look at how developing “soft” skills - like embracing discomfort, learning from failure, and improving how we learn - can unlock greater potential.Attendees will leave with actionable ways to rethink their role, navigate change more confidently, and craft work that is both more meaningful and more impactful.

Scaling a QA function is more than hiring-it’s rethinking structure, ownership, and influence. In this candid discussion, engineering leaders share the operational and cultural changes required to grow from a small QA team to a global quality engineering organization. Topics include redefining career ladders, preventing siloed automation, aligning with DevOps, and maintaining quality standards during hypergrowth.

We’re taking a short 10-minute break. During this time, take a moment to explore the virtual booths to learn more about BrowserStack’s products and how they can enhance your testing workflows. You can also visit the lounges to connect with our technical experts, ask questions, or have a quick chat. We’ll be back shortly with more sessions and insights-stay tuned.

Testing surfaces failure-which makes psychological safety essential. In this conversation, leaders share how they redesigned review rituals to encourage healthy dissent, elevate junior testers, and foster inclusive discussions around defects and risk. We’ll explore how inclusive practices improved bug discovery rates and reduced burnout across teams.

Breaking a monolith into microservices often breaks automation first. This conversation explores the structural and architectural changes required to realign test frameworks with evolving system boundaries. Leaders share how they shifted toward service-level contracts, redesigned integration coverage, and prevented duplicated effort across teams-all while maintaining delivery velocity.

Forward-thinking teams are feeding logs, traces, and metrics back into their test design. Discover how integrating observability into CI pipelines helped one organization detect silent failures earlier and redesign regression strategy using real usage data.

Over the past two days, we’ve explored how testing is evolving-from automation strategy to inclusivity and observability-driven feedback loops. This closing session ties together the human and technological threads of transformation. We’ll reflect on the biggest mindset shifts, the most compelling implementation stories, and the emerging patterns shaping the future of quality engineering. Most importantly, we’ll challenge you to move from learning to leadership in your own organizations.

Everyone is experimenting with AI, but very few are shipping AI tools that engineers actually use every day. In July 2025, Siddhant set out to solve a single problem: slow test case creation. Just five months later, that small internal tool evolved into ATLAS AI, a role-based, RAG-enabled engineering copilot now heavily utilized across testing, development, and product teams.In this hype-free lightning talk, Siddhant cuts straight to the signal, sharing the exact problems that led to building ATLAS AI and the architectural decisions that made it scalable. Attendees will get a candid look at the two features that drove overnight adoption, alongside the critical mistakes that nearly derailed the project. Moving past overloaded buzzwords, this session delivers a real-world case study on building a daily-use AI platform from scratch. You will learn how to identify high-impact AI use cases within your own engineering teams, drive genuine adoption rather than mere experimentation, and walk away with a proven "Start Small, Scale Fast" framework that you can implement tomorrow morning.

Most engineering teams adopted the "Shift Left" mantra to catch bugs earlier, but in practice, this often just leads to writing more tests rather than better ones. In this session, Kapil Jain will share the hard-learned lessons of scaling automation in a fast-moving CI/CD environment where, despite heavy early testing, critical defects still escaped to production. The solution was not just testing earlier - it was a fundamental move from "Shift Left" to "Shift Smart."Kapil will walk attendees through a real-world pipeline restructuring that abandoned UI-heavy upfront automation in favor of API-first validation, contract testing, risk-based test selection, and strict test data control. By shifting effort from the UI to the API and contract layers, his team drastically reduced defect leakage and stabilized their entire deployment pipeline. Attendees will learn how to identify low-value versus high-impact tests in their current suites and apply a simple framework to decide exactly what to test at which layer. You will walk away with practical steps to redesign your own pipelines for faster, highly reliable feedback, proving that you shouldn't just shift testing left - you need to shift your focus to where it actually delivers value.

Boards don't fund test cases - they fund confidence, growth, and risk control. Yet most quality teams still report in a language executives can't act on: pass rates, coverage percentages, and defect counts. The result? Green dashboards that create false confidence while revenue-impacting risk quietly accumulates underneath.This lightning talk introduces a practical 3-layer translation framework that converts raw engineering telemetry - test failures, flaky rates, escaped defects - into board-ready decision signals like Revenue at Risk, Customer Impact Probability, and Operational Stability Index. Using a real-world payment flow example, the session walks through concrete formulas, a one-page executive snapshot slide you can paste and customize, and a 6-week pilot plan to get started with just two critical business flows.

Modern QA can no longer be defined by the number of bugs found or test cases executed. As software delivery accelerates and systems grow more complex, the real value of QA lies in identifying and mitigating risks before they impact customers. This talk explores the evolution of QA from traditional defect detection to risk-driven quality engineering. Through practical insights and real project experiences, it highlights how QA teams can move beyond execution to become trusted advisors who influence product quality, release confidence, and business outcomes. Attendees will gain actionable ideas on how to build risk awareness, strengthen stakeholder trust, and position QA as a strategic function rather than a support role.

The relationship between a community and the individual is a two-way street - a powerful co-dependency where neither can truly thrive without the other. In this engaging lightning talk, Mirza will explore the profound importance of belonging to a tech community and why those communities desperately need active, engaged members to survive.Moving beyond standard networking advice, this session dives into the tangible benefits of active participation. Mirza will share a highly personal journey of how stepping up to attend and organize tech meetups helped them overcome social shyness and build lasting confidence. Attendees will gain a fresh perspective on the symbiotic nature of community building and leave inspired to take a more active role in the spaces they belong to, unlocking the full spectrum of personal and professional benefits that come from fostering a healthy, engaged community.