Designing front-end systems for cloud failure

Modern frontend applications rely on cloud services for far more than basic data fetching. Authentication, search, file uploads, feature flags, notifications and analytics often depend on APIs and managed services running behind the scenes....

MongoDB adds vector search to self-managed editions to power generative AI apps

While at one end, traditional database players, such as MongoDB, Google, etc., have added vector capabilities, specialty vector databases are adding additional features to...

How generative AI rollouts fail, and how to fix them

Despite big strides, generative AI is still in its infancy in the enterprise, and often when AI tools are deployed, they don’t live up...

Kotlin gets a new AI agent framework

Looking to make Kotlin a first-class language for AI, JetBrains has introduced Koog, an open source agentic framework for building AI agents within the...

WebAssembly proposal touted to improve Wasm web integration

Mozilla is working with the WebAssembly Community Group to design the WebAssembly Component Model, and Google is evaluating the model, according to Hunt. In...

The agent tier: Rethinking runtime architecture for context-driven enterprise workflows

Although onboarding illustrates the issue clearly, the same pattern appears in credit adjudication, claims processing and dispute management. As adaptive signals enter these workflows,...
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