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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. I spawned 25 Claude Code subagents in one night. Here's what I learned.

    A developer successfully created 37 Apify Actors, with 5 now live on the platform, by leveraging 25 Claude Code subagents in parallel. The process involved detailed, constrained prompts and running agents in the background to maximize throughput. The developer found that running four agents concurrently offered the best balance between speed and oversight, preventing output drift and ensuring adherence to specifications. AI

    I spawned 25 Claude Code subagents in one night. Here's what I learned.

    IMPACT Demonstrates how AI agents can be used to rapidly develop and deploy multiple software tools.

  2. MCP Marketplace Brings Real-Time Intelligence to Agentic Applications

    The Model Context Protocol (MCP) is emerging as a standardized way for AI agents to access external tools and real-time data. Several new open-source projects and platforms, including Databricks' MCP Marketplace, Klavis AI, Agent MCP Studio, and JigsawStack, are facilitating this integration. These tools allow AI agents to perform tasks like web scraping, data extraction, email verification, and accessing institutional research, thereby enhancing their capabilities beyond static knowledge bases. The protocol aims to streamline AI agent development by providing a common interface for tool discovery and execution, with ongoing efforts to improve security and support for features like OAuth. AI

    MCP Marketplace Brings Real-Time Intelligence to Agentic Applications

    IMPACT Standardizes AI agent interaction with external tools and real-time data, accelerating development and enabling more autonomous AI systems.