Automating Quality with AI
"AI writes slop" is a common concern. So how can we use LLMs to not just generate good code, but to *ensure* quality? Let's explore how to create effective "guardrails" via generated tests, spec-driven development, instruction approaches, prompting techniques, context management, and more. After this session you'll have a list of novel ideas for improving your LLM interactions.
About the speaker
Cory House
Cory is an author, a 12 time Microsoft MVP, and international speaker. He is founder of reactjsconsulting, where he helps companies transition to React. He has trained over 10,000 software developers at conferences and businesses worldwide. Cory has authored over a dozen courses on JavaScript, React, C#, testing, and web development on Pluralsight and Dometrain. He shares software development tips daily on X as @housecor.