Saturday, October 10, 2026 · 4:30 pm – 7:30 pm
Price
Free
What it is BrowserStack Meetup Kolkata: Mastering AI-Aware Tests for AI Code is a community gathering for software testers, QA engineers, developers, and product builders in Kolkata who want to stay ahead of the shift toward AI-assisted software development.
Why this matters AI-generated code is quickly becoming a core part of software development. But this new paradigm presents unique challenges for quality assurance. Traditional testing approaches were designed for human-written code, where intent, structure, and edge cases follow predictable patterns. AI-generated code, by contrast, can be syntactically correct yet semantically fragile, producing subtle regressions, hallucinated dependencies, and inconsistent behaviour across runs. This meetup tackles that gap head-on.
Who it's for
What to expect The session focuses on practical, hands-on approaches to testing code that was itself produced by AI. Expect discussion of how to design test suites that catch AI-specific failure modes, how to validate generated logic against real requirements, and how modern testing platforms can be configured to handle non-deterministic outputs. Attendees will also get a chance to network with peers from Kolkata's growing developer and QA community.
About the organiser BrowserStack is a widely used cloud-based testing platform that lets teams run automated and manual tests across thousands of real browsers and devices. Its meetup groups operate across Indian cities, bringing together local testing and development communities for knowledge-sharing sessions, demos, and networking. The Kolkata chapter is part of this broader community-driven series.
Format and logistics This is an in-person meetup held in Kolkata, running for approximately three hours in the afternoon. It is a free community event, making it accessible to students, early-career professionals, and experienced practitioners alike. Whether you are evaluating AI coding tools for your team or already deploying them in production, this session offers a grounded, practitioner-led perspective on keeping quality high in an AI-first development workflow.
Price
Free