InfoQ - AI Architecture

Anthropic Introduces Managed Agents to Simplify AI Agent Deployment

Leela Kumili — Tue, 21 Apr 2026 14:36:00 GMT

Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.

By Leela Kumili

GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses

Craig Risi — Tue, 21 Apr 2026 12:00:00 GMT

GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.

By Craig Risi

Designing Memory for AI Agents: inside Linkedin’s Cognitive Memory Agent

Leela Kumili — Mon, 20 Apr 2026 14:59:00 GMT

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 Kumili

Podcast: Engineering Stable, Secure and Scalable Platforms: a Conversation with Matthew Liste

Matthew Liste — Mon, 20 Apr 2026 11:00:00 GMT

In this podcast, Michael Stiefel spoke to Matthew Liste about building and managing software platforms. Platform services act as the basis for application development, and must always be stable, secure, and scalable. Scaling these systems is particularly difficult because unknown resource contention often causes them to break.

By Matthew Liste