Building Quality in LLM-Powered Applications | Craig Risi | Testflix2025 | #testingcommunity
As organizations rapidly adopt Large Language Models, many discover that building reliable and trustworthy AI systems is far more complex than traditional software development. LLMs are non-deterministic, context-sensitive, and prone to issues like bias, hallucinations, and prompt injection, making quality assurance a deeper challenge than simple testing.
This session explores how to build quality into LLM-powered applications from the ground up. It covers practical strategies around prompt design, evaluation frameworks, guardrails, and hybrid architectures that improve reliability and safety. Attendees will gain clarity on balancing innovation with control, and learn how to design AI systems that are not only powerful, but also consistent, secure, and user-focused.
#AutomationTesting #TestAutomation #ITindustry #TheTestTribe #Leadership
This video is of one of the sessions presented at #Testflix - World’s Leading Virtual Software Testing Conference.
About the Speaker:
Craig is a software enthusiast with over 20 years' experience across development, testing, and leadership—but still claims to learn something new every day. Equal parts tech nerd and people person, he’s passionate about designing systems that prioritize quality in a fast-evolving tech world. When he’s not writing code, books, or blog posts, you’ll find him designing board games, running absurd distances, or trying (unsuccessfully) to get Nick Fury to return his calls. A firm believer that great software starts with great people, Craig speaks internationally on all things software and still hopes the Force will awaken in him one day.
Connect with Craig on LinkedIn - https://www.linkedin.com/in/craig-risi/
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