Paul Dix

Paul Dix, co-founder and CTO of InfluxData and time-series systems engineer. He recounts running agentic coding side quests, porting PromQL into Rust and validating it against real tests. He explores verification-first workflows, building bespoke delivery and QA tooling, and where agentic development breaks down and needs manual auditing.

Paul Dix, co-founder and CTO of InfluxData and leader on time-series databases. He recounts sending AI coding agents on risky side quests and why he sometimes returns to hand-coding. They discuss agent-driven ports, test-first strategies, verification as the new bottleneck, building agent-friendly tools, and how small teams and product roles are reshaped by agentic workflows.

Paul Dix, Co-founder and CTO of InfluxData known for InfluxDB and time-series expertise. He recounts sending AI coding agents on real-world side quests. Topics include agentic coding experiments, verification and QA becoming the bottleneck, designing agent-friendly code and tooling, and building internal systems so agents can produce and validate production-ready code.

Paul Dix, the CTO of InfluxData, discusses the inception of InfluxDB, a powerful open-source time series database. He shares the challenges faced in early development and the pivotal shift from Scala to Go. Dix highlights the advantages of transitioning to Rust, including enhanced performance and error handling. He elaborates on the significant upgrades from InfluxDB version 1.0 to 2.0, along with strategies for managing high data volumes. The importance of community contributions and ongoing learning in Rust completes this insightful conversation.

Behavior management expert Paul Dix shares insights on creating consistent and positive school environments, maintaining certainty and consistency, navigating trauma-informed practices, and prioritizing professional learning in leadership. The discussion also includes diverse perspectives on education resources and entertainment reviews.