How Slack Manages Context in Long-running Multi-agent Systems
To sustain productivity in long-running agent systems, Slack engineers moved away from accumulating chat logs and started using structured memory, val…
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Legare Kerrison and Cedric Clyburn on LLM Performance and Evaluations
Effectively measuring the performance of applications that are leveraging Large Language Models (LLM) is critical to the adoption of AI technologies i…
Anthropic Introduces Managed Agents to Simplify AI Agent Deployment
Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns lik…
Presentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash
Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how …
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 …
Meta Reports 4x Higher Bug Detection with Just-in-Time Testing
Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The s…
Google Opens Gemma 4 Under Apache 2.0 with Multimodal and Agentic Capabilities
Google has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apa…
Cloudflare Launches Code Mode MCP Server to Optimize Token Usage for AI Agents
Cloudflare has launched a new Model Context Protocol (MCP) server powered by Code Mode, enabling AI agents to interact with large APIs with minimal to…
Cursor 3 Introduces Agent-First Interface, Moving Beyond the IDE Model
Anysphere released Cursor 3, a redesigned interface built from scratch that shifts the primary model from file editing to managing parallel coding age…
Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches by up to 6x. With 3.5-bit …
Google Released Gemma 4 with a Focus On Local-First, On-Device AI Inference
With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire…
Lyft Scales Global Localization Using AI and Human-in-the-Loop Review
Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large lan…
DoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale
DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates mu…