Software Engineering Daily

Software Engineering Daily

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Scaling Agent Workloads at Vercel

Most AI agent setups today are built around a single session, where one user interacts with one agent at a time. However, that model breaks down when an agent has to serve a business, where thousands of requests can arrive at once and each session needs to be isolated, durable, a ...  Show more

Inside Google’s Database Infrastructure for the AI Era

Historically, databases were responsible for storing data and returning exact results in response to queries. However, AI is now bending that contract in a new direction. Applications increasingly expect structured and unstructured data to come together. This is pushing databases ...  Show more

A Rust Framework to Simplify Distributed Systems

A Rust Framework to Simplify Distributed Systems Building software that runs across many machines is notoriously difficult. Developers have to grapple with problems such as race conditions, partial failures, and message ordering. Notably, one category of distributed software has ...  Show more

SED News: The NVIDIA-Hugging Face Deal, China’s Proxy Economy, the Open Weight Surge

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this end-of-summer episode, Gregor and Sean turn to a busy season ...  Show more

Moving Beyond RAG with Precomputed Context

Retrieval has become one of the central problems in building useful AI systems. The standard approach to grounding a model in one’s own data has been retrieval augmented generation, or RAG, where an agent searches a vector database for relevant information at query time. That pat ...  Show more