MoT San Francisco
Vibe Coding for QA: Build a PRD-to-Test-Case Generator
Vibe Coding for QA: Build a PRD-to-Test-Case Generator
📅 April 24, 2026
🕓 4:00 PM (PDT)
🌐 Virtual
🕓 4:00 PM (PDT)
🌐 Virtual
About the Event
How can we move faster from requirements to test cases using AI—without losing visibility or control?
In this hands-on workshop, we’ll build a PRD-to-Test-Case Generator using RAG (Retrieval-Augmented Generation) and AI agents. The goal is to show how QA workflows can be augmented with AI while still maintaining traceability and confidence in outputs.
This session is designed to be practical and interactive, giving you a real feel for “vibe coding” — where you collaborate with AI to build working solutions quickly.
What You’ll Learn
- How to use RAG pipelines for QA workflows
- Turning requirement docs (PRDs) into structured test cases
- Designing agent-based systems for test generation
- Maintaining observability with LangSmith
- How context improves AI output quality over time
- Practical patterns you can apply immediately in your QE workflows
Workshop Flow
We’ll build and walk through a working system step by step:
- RAG Agent ingests reference docs and requirements
- Test Generator Agent retrieves context and generates test cases
- Outputs are traced in LangSmith and stored
- Generated test cases are added back to the system
- Process repeats with improving context
Agents & Orchestration
- RAG Agent: Handles document ingestion, storage, and retrieval using ChromaDB
- Test Generator Agent: Uses retrieved context to generate test cases with GPT-4o
- LangGraph: The orchestration engine that manages the agentic loop — deciding when to call tools, running them in parallel, and knowing when the job is done.
Who Should Attend
- QA Engineers / SDETs
- Manual testers looking to get hands-on with AI
- QE leaders exploring AI-driven workflows
- Anyone curious about applying LLMs to real QA problems
No heavy coding experience required — we’ll keep it accessible. - It requires some prior coding knowledge in Python
About the Speaker
Suryakanta Mohapatra (Surya)
SDET with experience building large-scale automation systems and exploring AI-driven QA workflows. Previously worked at DocuSign and Lyft, and is currently focused on applying LLMs, RAG, and agent-based systems to solve real-world testing challenges such as test generation, validation, and observability.
Why Attend
This is not a theoretical session.
You’ll walk away with:
- A working mental model of AI-powered QA workflows
- A practical implementation you can replicate
- Ideas to apply immediately in your team
Additional Notes
- This will be an interactive session — feel free to ask questions and explore ideas
Fri, 24 Apr 2026
16:00 - 17:00 PDT
Location: Online
Host
Speaker
