According to Andrew Ng, the AI Dev 25 x NYC event will feature insights from leading developers at Google, AWS, Vercel, Groq, Mistral AI, and SAP, focusing on practical experiences building production AI systems (source: Andrew Ng, Twitter, Oct 23, 2025). The agenda reveals concrete topics including agentic architecture—detailing the impact of orchestration frameworks and autonomous planning on error handling—context engineering with advanced knowledge graph techniques, and memory systems for complex relational data. Infrastructure discussions will highlight hardware and model scaling bottlenecks, semantic caching strategies for cost and latency reduction, and inference speed's impact on orchestration. Additional sessions cover systematic agent testing, engineering AI governance, regulatory compliance, and context-rich code review tooling. These practical sessions provide actionable business opportunities for enterprises aiming to optimize AI workflows, enhance system reliability, and accelerate AI deployment in production environments.

According to Andrej Karpathy, context engineering is emerging as a critical AI trend, especially for industrial-strength large language model (LLM) applications. Karpathy highlights that while prompt engineering is commonly associated with short task instructions, true enterprise-grade AI systems rely on the careful design and management of the entire context window. This shift enables more robust, scalable, and customized AI solutions, opening new business opportunities in enterprise AI development, knowledge management, and advanced automation workflows (source: Andrej Karpathy on Twitter, June 25, 2025).