Barrchives Behind The Scenes of Temporal’s Explosive Growth, with Co-Founders Max and Samar
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Oct 3, 2025 Explore the explosive growth of Temporal through the lens of its co-founders, who share insights on the evolution from Amazon SWF to Uber’s Cadence. Discover the significance of durable execution for modern distributed applications, especially in AI. They discuss technical challenges like working with Cassandra, the importance of open-source strategy, and the roadmap for streaming and data workflows. Hear about how AI adoption is driving rapid growth and learn their vision for making durable execution the standard.
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Build For Developers First
- Focus on developer experience by iterating with real users and measuring adoption by apps built.
- Samar recommends designing features around concrete developer problems uncovered in production.
Painful Cassandra Learning
- Early Temporal used Cassandra and struggled for a quarter solving its sharp failure modes to build queues on top of it.
- The team engineered workarounds and learned deep operational lessons about replication and consistency.
Agents Are Durable Workflows
- Agentic AI workloads are dynamic distributed workflows that map naturally to durable execution.
- Max says existing agent code often runs unchanged inside Temporal and gains durability and scale for free.