GitHub has launched Copilot CLI into general availability, bringing generative AI directly to the terminal. Integrated with the GitHub CLI, it offers natural language command suggestions and code explanations. Recent updates introduce "agentic" workflows with Autopilot mode and GPT-5.4 support, alongside new enterprise telemetry for tracking usage across development teams.

The Etsy engineering team recently described how the company migrated its long-running MySQL sharding infrastructure to Vitess. The transition moved shard routing from Etsy’s internal systems to Vitess using vindexes, enabling capabilities such as resharding data and sharding previously unsharded tables.

Google Cloud has outlined its recent technical contributions to PostgreSQL, emphasizing improvements in logical replication, upgrade processes, and overall system stability. The update reflects ongoing collaboration with the upstream community and focuses on enhancements to the core engine aimed at addressing scalability, replication, and operational challenges.

Uber has decentralized its Hive data warehouse, migrating 16,000 datasets totaling over 10 petabytes using pointer-based federation. The migration ensures zero downtime, strict ACL enforcement, improved governance, and scalable, domain-specific datasets for analytics and machine learning workloads.

The MCP Dev Summit North America 2026, held on April 2-3 at the New York Marriott Marquis, gathered about 1,200 attendees. Hosted by the Linux Foundation's Agentic AI Foundation, discussions focused on the Model Context Protocol's evolution and enterprise adoption, particularly by Amazon and Uber, emphasizing security, interoperability, and scaling for production.

Sepehr Khosravi discusses the current state of AI-assisted coding, moving beyond basic autocompletion to sophisticated agentic workflows. He explains the technical nuances of Cursor’s "Composer" and Claude Code’s research capabilities, providing tips for managing context windows and MCP integrations. He shares lessons from industry leaders on shrinking process time beyond just writing code.

In this article, the author explores how hierarchical agentic RAG systems coordinate specialized workers through structured orchestration to improve accuracy, reliability, and explainability in complex enterprise analytics workflows. The article uses Protocol-H as a to show how deterministic routing, reflective retry, and modality-aware reasoning support safer multi-source query execution.

Google has released the open-source Colab MCP Server, enabling AI agents to directly interact with Google Colab through the Model Context Protocol (MCP). The project is designed to bridge local agent workflows with cloud-based execution, allowing developers to offload compute-intensive or potentially unsafe tasks from their own machines.