Building an MCP Server: Connecting Claude and VSCode to External Tools

Snowflake has entered into a multi-year agreement worth $200 million with Anthropic to integrate Anthropic's Claude AI models into its platform, enabling enterprises to deploy AI agents effectively. This partnership aims to enhance the capabilities of both companies in the rapidly evolving AI landscape.

A recent study by MATS and Anthropic has revealed that advanced AI models, including Claude Opus 4.5, Sonnet 4.5, and GPT-5, successfully identified and exploited vulnerabilities in smart contracts, simulating exploits worth approximately $4.6 million. This research underscores the growing capabilities of AI in cybersecurity contexts.

Anthropic has engaged the law firm Wilson Sonsini to initiate preparations for its initial public offering (IPO), which could potentially occur as early as 2026. The company is currently working through an internal checklist to ensure readiness for this significant financial milestone.

Anthropic has acquired Bun, a JavaScript and TypeScript runtime, enhancing the infrastructure behind its coding tool, Claude Code, which has achieved a $1 billion annual recurring revenue (ARR). This acquisition is expected to solidify the performance and efficiency of both Claude Code and the Claude Agent SDK, which already utilize Bun's capabilities.

Anthropic is reportedly preparing for a significant initial public offering (IPO), potentially positioning itself in direct competition with OpenAI in the public market. This move follows the launch of its advanced AI model, Claude Opus 4.5, which enhances coding and reasoning capabilities.

Anthropic has acquired Bun as its AI model Claude Code reaches a valuation of $1 billion, coinciding with the company's reported plans for an initial public offering (IPO). This acquisition is part of Anthropic's strategy to enhance its AI capabilities and market position.

Large language models (LLMs) have revolutionized software development by translating natural language into functional code, with tools like Github Copilot and Claude Code leading the charge. A recent comprehensive guide details the lifecycle of code LLMs, from data curation to autonomous coding agents, highlighting the significant advancements in performance metrics.

A new study introduces CROPKT, a framework for cross-cancer prognosis knowledge transfer using Whole-Slide Images (WSI). This approach challenges the traditional cancer-specific model by leveraging a large dataset (UNI2-h-DSS) that includes 26 different cancers, aiming to enhance prognosis predictions, especially for rare tumors.