Opening note

Join us for the opening note, where we’ll showcase how BrowserStack’s unified Test Platform empowers developers and testers to deliver quality software at speed.

Everyone Adopted AI. Who Actually Got Better?

• 
  Dhimil Gosalia

  VP of Products

  BrowserStack
• 
  Saurabh Mitra

  Global Head – QA

  Ramco Systems

The tech industry rushed to adopt AI, but usage dashboards don’t equal business results. Without a real quality layer, teams are simply shipping software failures faster downstream to customers. Discover what elite teams do differently to shift from “tokenmaxxing” to real outcomes, turning fragmented code generation into deterministic, revenue-driving software velocity.

Crack AI Agent Testing: Speed, Scale & COE Guardrails

• 
  Akhil Gundawar

  Director of Product - AI initiatives

  BrowserStack
• 
  Sobhitha Neelanath

  Senior Manager, Software Engineering

  Salesforce
• 
  Rayan Smith

  Director of Engineering, QA

  Twin Health

Discover how to transition toward faster delivery cycles while testing complex AI Agents using AI. Learn to overcome cross-product integration challenges, apply domain knowledge to stitch end-to-end tests, and navigate centralized COE security guardrails when scaling AI test automation.

Supercharge Your Jira: AI-Powered Test Management with BrowserStack

• 
  Rahul Chovva

  Group Product Manager

  BrowserStack

This session demonstrated BrowserStack Test Management for Jira, an AI-powered, native Jira app designed to streamline the software testing lifecycle. Attendees learned how its embedded AI agents auto-generate test cases from project requirements, accelerate test creation by 90%, ensure end-to-end traceability, and deliver actionable insights through customizable, real-time reporting dashboards.

Engagement activities

Tune in for exciting Quizzes and games

AI Amplifies Speed, So Why Are Rollbacks Up?

• 
  Nathen Harvey

  DORA Lead

  Google Cloud
• 
  Snehal Thakkar

  Sr. Director – Automate

  Browserstack

While 90% of developers actively use AI to amplify productivity, only 24% highly trust the output. With code generation outpacing verification, rollbacks are increasing. Discover how QA teams must adapt by providing human oversight, verifying AI-authored tests, eliminating quality theater, and preparing for autonomous agents.

AI Harnesses for Reliable Testing: From Governance to Validated AI Quality

• 
  Ajesh Viswambharan

  Director Quality Engineering

  BrowserStack
• 
  Maryna Didkovska

  Senior Director, AI & Quality Engineering

  EPAM Systems
• 
  Harleen Bedi

  CTO – Quality Engineering

  Infosys

Discover how AI harnesses help engineering teams move from experimentation to production-ready AI. This session covers governance frameworks, validation techniques, observability, test coverage, quality metrics, and implementation best practices for building reliable, scalable AI-powered quality engineering workflows.

Engagement activities

Tune in for exciting Quizzes and games

Automation Maturity Model: Building Scalable Test Automation

Master a practical roadmap for advancing test automation across five maturity levels. Discover how leading engineering teams improve collaboration, modernize frameworks, leverage cloud infrastructure, measure automation health, and implement scalable quality engineering practices that drive faster, more reliable software delivery.

AI-Assisted Test Generation in the IDE: From Prompt to Validated Coverage

• 
  Júlio de Lima

  Quality Engineering Manager

  Capco, USA

See how AI-assisted testing can move from prompt to execution within the IDE. This workflow demonstration covers structured test generation, coverage design, hallucination control, duplicate-test prevention, traceability, execution, and result validation. Learn practical techniques to improve consistency, reliability, and maintainability across functional, exploratory, and automated testing workflows for QA teams.