Floor Drees
Floor is a Principal Program Manager at EDB, working in and with the open-source community. She’s a DevOpsDays Core Co-Chair and previously organized DevOpsDays events in Amsterdam and Eindhoven. She’s a PostgreSQL Significant Contributor, Chair of the PostgreSQL Community Code of Conduct Committee, serves on the Contributors Committee, the PostgreSQL Europe Diversity Committee, and she’s a PGDay Lowlands organizer. You know, among other stuff.
After Art School, Floor “fell into” Tech, Ruby and Rails got her into open source software, and she never looked back. She enjoys (learning) languages and reading.
Session
The 2026 open source ecosystem is facing a paradox of unprecedented scale. On one hand, autonomous AI agents are identifying decades-old vulnerabilities in critical infrastructure and auto-generating patches before threat actors can exploit them. On the other hand, maintainers are being crushed under a DDoS-like wave of security reports and code contributions that cost nothing to generate but demand hours of unpaid human labor to validate.
In this keynote, we will explore how global open source communities are adapting to this asymmetric reality. We will look at the rise of the "found on my machine" AI-assisted bug report: complex, unexplainable, and nearly impossible to reproduce. More critically, we will tackle the architectural dilemma: what happens when an AI accurately flags a deep structural flaw, but the refactoring effort is completely out of reach for a volunteer team already strapped for time? While industry initiatives are attempting to pair AI discovery with human security triage to shield maintainers, the human-in-the-loop bottleneck remains a profound threat to project health.
Finally, we will zoom out to address an existential shift in software engineering: the fading relevance of traditional licensing. When a developer can simply prompt Claude to build the exact bespoke tooling they need from scratch in seconds, the historical moats of the MIT or GPL licenses begin to evaporate. If the primary abstraction layer has moved from source code to plain-English intent, what does "open source" actually mean today?
The primary case study will be the PostgreSQL project. Having worked with and in the project for the better part of 5 years, I have a unique insight into the conversation around adapting for the agents.