Gen ai

GenAI Grows Up: Building Production-Ready Agents on the JVM • Rod Johnson • GOTO 2025

GenAI Grows Up: Building Production-Ready Agents on the JVM • Rod Johnson • GOTO 2025

Rod Johnson explains the high failure rate of enterprise GenAI projects, attributing it to the misuse of the technology and a disconnect from established software engineering principles. He argues for a paradigm shift away from Python-centric approaches towards the JVM, introducing Embabel, a framework designed to build reliable, testable, and domain-integrated AI agents by tackling non-determinism and leveraging the strengths of the enterprise Java ecosystem.

Early Days of Agile Development & Is Design Dead? • Martin Fowler & James Lewis

Early Days of Agile Development & Is Design Dead? • Martin Fowler & James Lewis

In an interview with James Lewis, Martin Fowler recounts his journey into the Agile movement, starting from the object-oriented community to the pivotal Chrysler C3 project where Extreme Programming (XP) was born. He discusses the shift from upfront to evolutionary design, the creation of the Agile Manifesto, and offers modern perspectives on developer productivity, the role of GenAI in software analysis, and the enduring importance of XP's technical practices.

Too much lock-in for too little gain: agent frameworks are a dead-end // Valliappa Lakshmanan

Too much lock-in for too little gain: agent frameworks are a dead-end // Valliappa Lakshmanan

Lak Lakshmanan presents a robust architecture for building production-quality, framework-agnostic agentic systems. He advocates for using simple, composable GenAI patterns, off-the-shelf tools for governance, and a strong emphasis on a human-in-the-loop design to create continuously learning systems that avoid vendor lock-in.

2025 is the Year of Evals! Just like 2024, and 2023, and … — John Dickerson, CEO Mozilla AI

2025 is the Year of Evals! Just like 2024, and 2023, and … — John Dickerson, CEO Mozilla AI

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.