AI in Testing : Workshop + Hackathon

Become the Tester AI Can't Replace

Unlock 4X productivity with AI across your test cycle, through a live workshop, followed by a hackathon.
Calendar 10th September 2026
Clock 08:00 AM PT
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Meet the Speakers

Puja Jagani
Lead OpenSource Engineer
BrowserStack
Open-source core committer and UCLA alumna. Specializes in building robust dev tools and empowering global developer communities.
Manish Saini
Sr Lead, Developer Advocate
BrowserStack
11 years of experience in QA domain - designing, building, and maintaining robust automation frameworks across web, mobile and API platforms
Andrew Knight
Sr. Director
Cycle Labs
15+ years pioneering software quality. Known globally as the "Automation Panda," he architects enterprise test automation solutions.
Soham Dubewar
CE
BrowserStack
Over 2 years of experience building impactful solutions for enterprise customers. Passionate about cybersecurity and quality engineering at scale.

Transform from Manual Tester to AI Powered QA Leader in Just 2 Hours

Requirement-to-test automation, inside your IDE
Turn everyday context into relevant test cases and automated scripts in your preferred framework inside your IDE with Test Companion carrying context across the full cycle.
Validate on real browsers and devices
Go beyond code generation. Test Companion helps run, validate, and iterate on scripts with real device and browser execution so teams see working tests, not just suggestions.
Diagnose, fix, and maintain regression suites
Analyse failures across runs, identify root causes, fix script issues, re-run, and reduce maintenance effort with an AI harness built for end-to-end functional testing workflows.
What you will achieve in 2 hours
  • Consolidate your testing lifecycle into one IDE extension.
  • Author and run web and mobile test suites in one go.
  • Instantly debug and fix failed tests with zero context loss.
  • Seamlessly test, debug, and triage apps on real devices.

Agenda: See Test Companion in Action, Then Build It Yourself in the Hackathon

Module 1

30 mins

First Principles: The IDE-Native QA Shift

Skip the hype. A problem-first breakdown of key QA bottlenecks, and why moving from manual script writing to unified quality engineering right inside your IDE elevates your impact.

Module 2

75 mins

Interactive Lab: Unify the Entire Test Lifecycle in your IDE

Access a zero-setup environment. Streamline authoring, running, and debugging cross-platform tests right inside your IDE at production quality.

Module 3

15 mins

Hackathon Briefing: Build, Submit, Win Big

Get the challenge prompt, evaluation criteria, and submission flow. Prepare to build your custom async project and compete for the $1,500 prize pool.

Module 4

5 mins

The Asset Drop: Blueprints & Discord

Claim your downloadable AI Implementation Blueprint to show your manager, unlock your extended trial, and join the private Discord hub for async engineering support.

Async

3-5 Days

Take-home Hackathon

Build and refine your AI-powered QA workflow asynchronously with 1:1 mentor support. Submit your final build to claim your "AI-First Tester" badge and win prizes.

What Our Customers Have to Say

With AI-powered Visual Testing embedded in our quality pipeline, we’ve moved beyond code validation—into protecting the brand experience at scale, with precision and speed.
Zohar Liran
Director, Head of Engineering, Construction Platform, Autodesk
A test could come out true, but the screen does not look anything like you want it to look. That’s where visual testing with Percy comes in.
Ayushi Arora
SDET Lead, Nykaa
We have successfully brought down the regression time from 4 days to 1.5 days, resulting in short turnaround time on the life cycle of apps.
Vijay Selvam
Manager, Test Engineering, Swiggy
We will continue encouraging more teams to integrate automated tests with BrowserStack to increase their test coverage, reduce their feedback loops and deliver high-quality products faster.
Georgiana-Lucia Baragan
Senior Engineering Manager, Booking.com
The most major impact I have noticed is that we are able to deliver fast. We are also able to maintain the robustness and stability of our tests; the tests are more reliable now. And if anything fails, we have the video recording to go back and analyse where, when and why the test failed – is it a genuine issue or flakiness associated with our test case.
Harit Narke
Lead Software Engineer, Mastercard

Move From Manual Bottlenecks to AI Command

Join a free, live interactive workshop to build a production-ready AI workflow, claim your implementation blueprint, and secure your entry into the $1,500 hackathon pool

REGISTER FOR FREE