Drawing from conversations with top AI builders, Dex argues that production-grade AI agents are not magical loops but well-architected software. This talk introduces "12-Factor Agents," a methodology centered on "Context Engineering" to build reliable, high-performance LLM-powered applications by applying rigorous software engineering principles.
This talk introduces Eval-Driven Development (EDD) as a scientific alternative to 'vibe-based' iteration for improving AI agents. It covers quantitative evaluation (choosing strong end-to-end metrics, aligning LLM judges) and qualitative evaluation (using error and attribution analysis to debug failures), providing a structured framework for consistent agent improvement.
Robert from Emergent Methods discusses how grounded synthetic news data can solve the publisher revenue crisis in the AI era. He details the process of 'Context Engineering' news into token-optimized, objective data for high-stakes AI agent tasks, covering their open-source models for entity extraction and bias mitigation, and the on-premise infrastructure that protects publisher content.
Ryan Fox-Tyler from Hypermode explains their philosophy of empowering AI agents to design and deploy other agents. He introduces Concierge, an agent that builds other agents, and details the underlying actor-based runtime built for scalability, fault tolerance, and efficient, event-driven execution of thousands of parallel agent instances.
Simba Khadder explains that the primary bottleneck for LLM agents is not intelligence, but access to structured data. He introduces EnrichMCP, an open-source framework that creates a semantic layer over data models, enabling agents to discover, reason about, and query data sources like SQL databases effectively, moving beyond the limitations of RAG and direct API conversions.
Marit van Dijk and Hannes Lowette discuss why reading code is a critical, yet underdeveloped, skill for software developers. They explore research-backed strategies like structured code reading clubs, leveraging modern IDEs and AI assistants to comprehend complex codebases, and the importance of empathy in code reviews. The conversation emphasizes using tests as documentation and writing clear commit messages to improve collaboration and long-term maintainability.