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LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.
Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.
Google has introduced subagents in Gemini CLI, a new capability designed to help developers delegate complex or repetitive tasks to specialized AI agents operating alongside a primary session.
Chris Tacey-Green discusses the shift from synchronous commands to asynchronous events within highly regulated environments. He explains the critical role of Inbox and Outbox patterns in preventing data loss, the nuances of event versioning, and how to maintain decoupling between domains. He shares "battle-tested" principles for implementing fault tolerance and managing eventual consistency.
This article details our migration from Apollo Federation to a TypeScript-based tRPC stack, which resulted in an 89% reduction in bugs and 67% faster response times. It also covers the mistakes we made, the unexpected performance gains, and an overview of the production architecture we use today to handle 2.4 million daily requests with 99.97% uptime.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.
By Leela KumiliPretext.js Bypasses DOM Layout Reflow, Enabling Advanced UX Patterns at 120 FPS
Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.
By Bruno CouriolSubagents in Gemini CLI Enable Task Delegation and Parallel Agent Workflows
Google has introduced subagents in Gemini CLI, a new capability designed to help developers delegate complex or repetitive tasks to specialized AI agents operating alongside a primary session.
By Robert KrzaczyńskiPresentation: Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?
Chris Tacey-Green discusses the shift from synchronous commands to asynchronous events within highly regulated environments. He explains the critical role of Inbox and Outbox patterns in preventing data loss, the nuances of event versioning, and how to maintain decoupling between domains. He shares "battle-tested" principles for implementing fault tolerance and managing eventual consistency.
By Chris Tacey-GreenArticle: Building Production-Ready tRPC APIs: The TypeScript Alternative to Apollo Federation
This article details our migration from Apollo Federation to a TypeScript-based tRPC stack, which resulted in an 89% reduction in bugs and 67% faster response times. It also covers the mistakes we made, the unexpected performance gains, and an overview of the production architecture we use today to handle 2.4 million daily requests with 99.97% uptime.
By Dinesh Kumar Elumalai