Madison Faulkner and Hugo Santos explain why traditional CI/CD, built for human developers, is failing under the load of AI agents. They propose a new paradigm of 'Continuous Compute' centered on intent-driven agent loops, fast inline validation, and a pre-merge layer where humans review outcomes, not diffs, paving the way for a 'multiverse' of parallel development.
Patrick Debois argues that as AI coding agents become more capable, the context that drives them—prompts, rules, and memory—needs its own engineering discipline, akin to how we manage code. He introduces the Context Development Lifecycle (Generate, Evaluate, Distribute, and Observe) to make context a shared, repeatable, and improvable part of software delivery, creating a flywheel effect where better context leads to better agent output and continuous improvement.
Ajay Chankramath and Nic Cheneweth discuss the critical elements of effective platform engineering, emphasizing a product mindset, the foundational role of control planes and API-first design, the common pitfalls of implementing Backstage, and the emerging impact of AI and agents on the platform landscape.
Docker educators Bret Fisher and Elton Stoneman discuss the second edition of Stoneman's book, "Learn Docker in a Month of Lunches". They explore why Docker fundamentals remain crucial in a Kubernetes-dominated world, the evolution of the container ecosystem over the past five years, and the key skills that differentiate a Docker expert from a beginner, such as multi-platform builds, security, and configuration management.
In this panel discussion, Holly Cummins, Abby Bangser, and Adrian Mouat explore the inherent conflict between security and developer experience. They argue that traditional security, often driven by fear and restrictive policies, can lead to 'Shadow IT' and greater insecurity. The solution proposed is a platform engineering approach, which centralizes security expertise to provide secure defaults, infrastructure guardrails, and a clear shared responsibility model, thus enabling development teams to deliver value quickly and safely without needing to become security experts themselves.
CircleCI's Olaf Molenveld and AWS's Julian Wood explore the evolution of CI/CD, drawing parallels between managing production code and the 'factory' that builds it. They cover the shift to microservices pipelines, optimization strategies, platform engineering trends, and how AI is set to reshape DevOps by acting as an expert system for developers.