AI-Powered Testing at Scale

This Meetup is only for working professionals.

Most QA teams are drowning in fragmented tools, manual effort, and zero visibility across the pipeline. The gap between AI experiments and production-ready systems keeps growing. And scattered dashboards make it nearly impossible to track quality at scale.
​This meetup brings you two focused sessions. First, a practitioner-led deep dive into building ATLAS AI, a production-grade autonomous testing platform powered by RAG, MCP, and Gen AI agents. Then, a live demo of how a single-pane quality view replaces tool chaos with clarity for engineering, QA, and leadership teams.
​Reserve your spot today and walk away with frameworks you can put to work on Monday.

## ​What Will You Learn

• ​You'll learn a practical framework to move AI in testing from proof-of-concept to production-grade systems
• ​You'll understand how to design role-based AI platforms that serve testers, developers, PMs, and leadership
• ​You'll see how RAG, MCP, and Gen AI architectures power real use cases like test generation, PR reviews, and visual regression
• ​You'll discover how a single-pane quality view eliminates tool fragmentation and accelerates delivery decisions
• ​You'll walk away with strategies for AI governance, trust, and accuracy using evals and red teaming

## ​Agenda

• ​11:00 AM: Welcome and Networking (10 min)
• ​11:10 AM: From Prompts to Production, Building ATLAS AI: The Autonomous Future of Testing at Scale (40 min)
• ​11:50 AM: Break (10 min)
• ​12:00 PM: Quality Engineering Insights: From Fragmented Tools to a Single Pane of View (40 min)
• ​12:40 PM: Lunch and Networking

## ​Who Should Attend

• ​QA Engineers and SDETs looking to integrate AI into their daily testing workflows
• ​QA Leads and Test Managers seeking to move from manual to autonomous testing ecosystems
• ​Engineering Managers who want unified quality visibility across their delivery pipeline
• ​Directors and VPs of Quality Engineering exploring AI-driven transformation at scale
• ​Automation Architects evaluating RAG, MCP, and Gen AI for production systems

​If you're serious about the future of quality engineering, we'd love to have you there.
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