Olivier Alnet is a Senior Software Developer with over 25 years of experience building software systems across multiple industries. A full-stack developer with interests spanning architecture, DevOps, and infrastructure, he believes software development is first and foremost an analytical discipline: understanding context, questioning assumptions, and finding pragmatic solutions that can evolve over time.
What can a small Proxmox home lab teach us about disaster recovery? Using a two-node environment as a case study, this session explores how concepts such as RPO, RTO, service prioritization and recovery planning can improve resilience without clusters, shared storage or enterprise budgets. Attendees will leave with a better understanding of recovery trade-offs and practical disaster recovery thinking.
Les agents IA génèrent du code rapidement, mais peinent lorsque les exigences sont floues ou incomplètes. Paradoxalement, des pratiques classiques du génie logiciel comme les documents de vision, les cas d'utilisation et les spécifications retrouvent toute leur pertinence puisqu'elles fournissent le contexte structuré dont les agents ont besoin. Cette présentation montre comment l'IA permet enfin d'appliquer ces techniques de façon pragmatique.
AI coding agents can generate code in seconds, but they still struggle when requirements are incomplete or ambiguous. Ironically, software engineering practices such as vision documents, use cases, and requirements specifications are becoming relevant again because they provide the structured context AI agents need. This session explores how AI makes these techniques practical again for modern development teams.