QA with AI Assisstants- Nov 14 and 15

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Using AI coding assistants and tools to write, review, and ship code faster.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Model Context Protocol — building tool integrations and server connections for AI agents.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

Go beyond prompting: build AI workflows that make you a stronger tester.