The bet on Postgres to be the backbone to run reliable services (Chat with Jeremy and Qian from DBOS)
The Infra Pod
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Crafting Reliable Workflows with AI
This chapter explores the fundamental properties of DBS workflows, focusing on determinism and idempotency, and their significance in enabling effective recovery and preventing unintended consequences. It highlights challenges in integrating AI, specifically LLMs, into existing systems and the importance of building trust among developers for technology adoption. The discussion also delves into user strategies, reliability in AI applications, and the differences between traditional backend engineering and LLM-driven development.
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