AI Engineering

AI Engineering | 2025

Discover the 5 Best AI Engineering Sessions

Sessions

Talk

AI is revolutionizing industries, but its full potential remains untapped without the right infrastructure and strategy. This session explores how the Dell AI Factory with NVIDIA, empowers enterprises to overcome challenges like skill gaps, data management, and security concerns. Learn how to move from experimentation to production-ready AI deployments with confidence.

Talk

As models get better, we are seeing the rise of "deep agents" - agents that are able to run on more complex tasks over longer time horizons (e.g. Claude Code, Deep Research, Manus). Under the hood, these agents all use a relatively simple architecture, but come with a more built out set of tools and capabilities. In this Keynote, Harrison will first cover common characteristics of Deep Agents to explain what is going on underneath the hood, followed by some practical tips on how to build Deep Agents of your own.

Talk

AI can help us write code now, but how do we make the most out of it? What are the common patterns of the most productive engineers? This talk also discusses how to make vibe coding less "vibe" and more systematic.

Talk

In this session we’ll explore how CodeRabbit’s context-engineering architecture leverages data from multiple sources (AST-based code dependency graph, MCP, 40+ open-source linters, repo history, coding agent guidelines, and custom review rules) to provide code reviews that can catch race conditions, architectural improvements, missed unit tests especially for edge cases, concurrency issues, and even outside-diff errors and bugs.

Talk

Deploying AI in regulated industries requires disciplined engineering and creativity in work flows, data ingestion, and user experience. This session explores how to combine large language models and computer vision systems into enterprise workflows that are reliable, compliant, and fast enough to stick.