InfoQ - AI Development

Uber Migrates 75,000+ Test Classes from Junit 4 to Junit 5 Using Automated Code Transformation

Leela Kumili — Mon, 27 Apr 2026 14:07:00 GMT

Uber engineers migrated over 75,000 test classes from JUnit 4 to JUnit 5 using automated code transformation with OpenRewrite and internal orchestration. By enabling the JUnit Platform for dual execution with Bazel and validating changes through CI, the team modernized testing infrastructure while maintaining correctness at monorepo scale.

By Leela Kumili

Article: MCP in the Java World: Bringing Architectural Strategy to LLM Integrations

Matteo Rossi — Mon, 27 Apr 2026 11:00:00 GMT

Discover how the Model Context Protocol (MCP) Java SDK is establishing a new architectural discipline for enterprise LLM integrations. By defining explicit contracts and leveraging MCP servers as anti-corruption layers, it ensures governance, loose coupling, and security alignment with the JVM ecosystem and existing operational practices, moving integrations beyond fragility to resilience.

By Matteo Rossi

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

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