Microsoft announces general availability of Azure DevOps local MCP Server The MCP server acts as an intermediary between AI assistants and the Azure DevOps organization. It can help inject context from Azure DevOps, like work items, pull requests, and test plans. By adding this context to prompts, the LLM can provide more relevant answers that … continue reading
Amazon launches Quick Suite to provide agentic AI across applications and AWS services Amazon Quick Suite allows users to ask questions, conduct deep research, analyze and visualize data, and create automations. It can connect to internal repositories, like wikis or intranet, and AWS services. Amazon also offers 50+ built-in connectors to applications like Adobe Analytics, … continue reading
Google is announcing a new offering built around Gemini, designed specifically with large enterprise use in mind. Gemini Enterprise consolidates six core components: Advanced Gemini models A no-code workbench for analyzing information and orchestrating agents Pre-built Google agents for tasks like deep research or data insights The ability to connect to company data A central … continue reading
Google’s coding agent Jules now can be used directly in developer’s command lines so that it can act as more of a coding companion. According to Google, it created this new command line interface—called Jules Tools—out of a recognition that the terminal is where developers spend most of their time. Jules Tools allows developers to … continue reading
Google adds Data Commons MCP Server, new versions of Gemini 2.5 Flash and Flash-Lite The Data Commons MCP Server allows AI developers to easily access all of Data Commons’ publicly available datasets. It can be accessed via the Gemini CLI or in Google Colab, and Google has a sample agent in Colab as well to … continue reading
OpenAI updates Codex The company released GPT-5-Codex, a variant of GPT-5 that is optimized for Codex, OpenAI’s AI coding agent. It was trained on real-world engineering tasks like building projects from scratch, adding features and tests, debugging, large-scale refactoring, and code reviews. “With these updates, Codex moves closer to what we’ve been building toward all … continue reading
Mistral announces new connectors, Memories Mistral announced that its generative AI chat Le Chat now connects with over 20 new connectors, including tools like Asana, Atlassian, Box, Databricks, GitHub, Outlook, Snowflake, Stripe, and Zapier. Users will also now be able to add their own connectors via MCP. The company also announced a beta for Memories, … continue reading
Google has announced that it has brought the Gemini CLI to the open source code editor, Zed. The new integration will enable Zed users to generate and refactor code in the editor, get instant answers on code or error messages, and chat naturally in the terminal. Developers will be able to follow along live with the … continue reading
Anthropic expands Claude Sonnet 4’s context window to 1M tokens With this larger context window, Claude can process codebases with 75,000+ lines of code in a single request. This allows it to better understand project architecture, cross-file dependencies, and make suggestions that fit with the complete system design. Longer context windows are now in beta … continue reading
Google is enhancing its AI coding agent, Jules, with new functionality that reviews and critiques code while Jules is still working on it. “In a world of rapid iteration, the critic moves the review to earlier in the process and into the act of generation itself. This means the code you review has already been … continue reading
OpenAI launches GPT-5 OpenAI announced the availability of GPT-5, which it says is “smarter across the board” compared to previous models. Specifically for coding, GPT-5 achieved significant improvement in complex front-end generation and debugging larger repositories. Early testers said that it made better design choices in terms of spacing, typography, and white space, according to … continue reading
Google has launched a new experimental AI tool designed for users who want to build apps entirely using AI prompts, with no coding needed at all. Opal allows users to create mini AI apps by chaining together AI prompts, models, and tools, using natural language and visual editing. “Opal is a great tool to accelerate … continue reading
