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  • Cloudflare Introduces EmDash: TypeScript CMS Positioned as WordPress Successor Renato Losio
    Cloudflare recently announced the preview of EmDash, a new open-source CMS it describes as a β€œspiritual successor to WordPress.” Designed to rebuild the CMS model around a serverless, developer-focused architecture, EmDash includes AI-native features, developer tooling, and migration paths from WordPress, sparking debate across the WordPress and broader CMS community. By Renato Losio
     

Cloudflare Introduces EmDash: TypeScript CMS Positioned as WordPress Successor

10 April 2026 at 04:39

Cloudflare recently announced the preview of EmDash, a new open-source CMS it describes as a β€œspiritual successor to WordPress.” Designed to rebuild the CMS model around a serverless, developer-focused architecture, EmDash includes AI-native features, developer tooling, and migration paths from WordPress, sparking debate across the WordPress and broader CMS community.

By Renato Losio

AAIF's MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening

9 April 2026 at 21:10

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.

By Andrew Hoblitzell

Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents

9 April 2026 at 16:30

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.

By Robert KrzaczyΕ„ski

Anthropic Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development

4 April 2026 at 22:24

Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.

By Leela Kumili
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