AutoOps: How Generative AI and Prompt Engineering Turn Engineers into Superheroes, Not Replace Them

Envision a DevOps realm infused with AI-driven superpowers, where a reliable AI companion revolutionizes the way we approach development. This companion doesn't just assist; it transforms the adventure of creating software that spanning the full spectrum of SDLC possibilities and pinpointing bugs in the most unexpected places. This is the essence of AI-augmented with human-in-the-loop, a paradigm where AI elevates engineers to maestros, orchestrating a symphony of enhanced augmented subject matter intelligence. By turbocharging the testing process to be quicker, smarter, and more efficient, this approach doesn't merely impart insights but equips you with actionable strategies to bring these innovative concepts to life, making your work not only more productive but also genuinely enjoyable and engaging. But this session goes beyond merely discussing the technological underpinnings (e.g., GNN, RAG, RGA, NLU). It's a rallying cry for test professionals everywhere to embrace an era where their skills are amplified to superhero proportions. Through a blend of real-world anecdotes and hands-on demonstrations, participants will gain firsthand experience in leveraging generative AI for crafting pipeline automation intricate chaos engineering scenarios, and achieving bug detection with unprecedented accuracy. Jonathon will delve deep into the art of prompt engineering and fine-tuning, demonstrating how to design precise prompts that guide Generative AI in executing highly specialized DevOps tasks, thus opening new horizons in engineering prowess.