AI-Augmented Development equips engineers to partner with AI throughout the software lifecycle. You’ll learn how to generate code responsibly, use AI for reviews and tests, refactor safely, and retrieve project knowledge with RAG. We focus on practical workflows, guardrails, and metrics so teams deliver higher quality with less rework—without sacrificing engineering standards.
Target Audience
Software engineers, tech leads, QA/test engineers, developer productivity/enablement teams, data/ML engineers building dev tooling, engineering managers.
Prompt Engineering for Developers
Architectural Decision Support (AI)
AI-Authored Documentation