Sitemap Index.xml

• GitHub Copilot switches to token-based billing in June 2026 - the-decoder.com

  GitHub Copilot switches to token-based billing in June 2026 the-decoder.com

• Oracle Stock Drops on OpenAI Shock. CoreWeave, SoftBank Also Hit. - Barron's

  Oracle Stock Drops on OpenAI Shock. CoreWeave, SoftBank Also Hit. Barron's

• OpenAI falls short of revenue and user targets as it races toward IPO, WSJ reports - Yahoo Finance UK

  OpenAI falls short of revenue and user targets as it races toward IPO, WSJ reports Yahoo Finance UK

• NASA’s X-59 Gets Freedom 250 Logo

  NASA’s X-59 is helping the nation celebrate the 250th anniversary of its independence with an update to its livery – its official paint job and insignia. The one-of-a-kind research aircraft is the centerpiece of NASA’s Quesst mission to demonstrate technology to fly supersonic, or faster than the speed of sound, without generating loud sonic booms. […]

• Agents CLI in Agent Platform: create to production in one CLI

  Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

• Visual Studio Code 1.117

  Learn what's new in Visual Studio Code 1.117 (Insiders) Read the full article

• Plan mode is now available in Gemini CLI

  Gemini CLI now features Plan Mode, a read-only environment that allows the AI to analyze complex codebases and map out architectural changes without the risk of accidental execution. By leveraging the new ask_user tool and expanded Model Context Protocol (MCP) support, developers can collaboratively refine strategies and pull in external data before committing to implementation.

• Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab

  When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei...

• Developer’s Guide to AI Agent Protocols

  This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a "kitchen manager" agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users.

• Build a smart financial assistant with LlamaParse and Gemini 3.1

  This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.

• Jump to play: Building with Gemini & MediaPipe

  The provided workflow streamlines motion-controlled game development by using Gemini Canvas to rapidly prototype mechanics like the MediaPipe Pose Landmarker through high-level prompting. Developers can refine these prototypes in Google AI Studio by optimizing for low-latency "lite" models and stable tracking points, such as shoulder landmarks, to ensure responsive gameplay. The process concludes by using Gemini Code Assist to refactor experimental code into a modular, production-ready application capable of supporting various multimodal inputs.

• Closing the knowledge gap with agent skills

  To bridge the gap between static model knowledge and rapidly evolving software practices, Google DeepMind developed a "Gemini API developer skill" that provides agents with live documentation and SDK guidance. Evaluation results show a massive performance boost, with the gemini-3.1-pro-preview model jumping from a 28.2% to a 96.6% success rate when equipped with the skill. This lightweight approach demonstrates how giving models strong reasoning capabilities and access to a "source of truth" can effectively eliminate outdated coding patterns.

• 7 ways to travel smarter this summer, with help from Google

  The latest tools from Google can help you plan trips, find a great deal and explore your next destination.