Omar Khattab, creator of DSPy, reinterprets the 'Bitter Lesson' for AI engineering, arguing that the key to building robust and enduring AI systems is to move beyond brittle prompt engineering. He advocates for a declarative, modular approach that separates the fundamental program logic from the rapidly changing landscape of LLMs, optimizers, and inference techniques.
Ido Pesok from Vercel explains why LLM-based applications often fail in production despite successful demos, and presents a systematic framework for building reliable AI systems using application-layer evaluations ("evals").
A deep dive into why 2025 is poised to be the 'Year of Evals' for AI. The speaker argues that a confluence of factors—the C-suite's post-ChatGPT awakening, budget dynamics, and the rise of autonomous agentic systems—has finally made AI evaluation a critical, top-of-mind issue for enterprise leaders.
Itamar Friedman of Qodo argues that the future of AI in software development lies in moving beyond simple code generation to 'vibe coding with confidence.' This is achieved through multi-agent workflows, grounded in team standards and orchestrated via the Command Line Interface (CLI), enabling a holistic AI-driven approach across the entire SDLC.
Tanmai Gopal, CEO of Hasura, discusses a Gen AI-driven automation strategy that addresses the "Automation Paradox" by empowering non-technical users. This approach uses a domain-specific language (DSL) to translate natural language into deterministic, executable plans, aiming to drive over $100M in annual impact for a healthcare partner.
Leaders from VMware and Cisco share hard-won lessons on navigating disruption, fostering a founder's mindset at scale, and rebuilding for the AI era. They cover GTM strategies for new products, the importance of storytelling as strategy, and why AI represents a 100x shift for infrastructure.