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…
Article: MCP in the Java World: Bringing Architectural Strategy to LLM Integrations
Discover how the Model Context Protocol (MCP) Java SDK is establishing a new architectural discipline for enterprise LLM integrations. By defining exp…
Article: Orchestrating Agentic and Multimodal AI Pipelines with Apache Camel
In this article, author Vignesh Durai discusses how agentic and multimodal AI systems can be engineered using Apache Camel and LangChain4j technologie…
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 …
Google ADK for Java 1.0 Introduces New App and Plugin Architecture, External Tools Support, and More
Google's Agent Development Kit for Java reached 1.0, introducing integrations with new external tools, a new app and plugin architecture, advanced con…
Google’s Aletheia Advances the State of the Art of Fully Autonomous Agentic Math Research
Google announced Aletheia, an AI using Gemini 3 Deep Think that solved 6/10 novel math problems in the FirstProof challenge. Aletheia also scored ~91.…
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…
CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads
A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kub…
Anthropic Introduces Agent-Based Code Review for Claude Code
Anthropic has introduced a new Code Review feature for Claude Code, adding an agent-based pull request review system that analyzes code changes using …
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 …
Anthropic Paper Examines Behavioral Impact of Emotion-Like Mechanisms in LLMs
A recent paper from Anthropic examines how large language models internally represent concepts related to emotions and how these representations influ…
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…
Google Researchers Propose Bayesian Teaching Method for Large Language Models
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions o…
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…