Beyond Prompts: Building Smart Test Collaborators
We’ll start simple: prompt like a pro. We do this until the prompt tricks stop working and context starts to matter. We then level up fast: inject SRS logic, layer bug taxonomies, pull CVEs on the fly, and wire it all up into a Langchain agent that remembers, reasons, and retrieves.
Expect more demos than we’ll have time for, one meaty case study, and zero slide fatigue. By the end, you’ll stop treating an LLM like a vending machine and start using it like a context-driven test collaborator.
This isn’t AI hype. It’s applied thinking, powered by language models, grounded in test design.
