GitHub Copilot in Visual Studio — September update

Converting Documents to Markdown With MarkItDown Quiz

Check your MarkItDown skills. Convert documents to LLM-ready Markdown, use the MCP server, and get image descriptions. Try the quiz.

Build Faster, Work Smarter with AI Agents and Apps Grounded in Data

At Expedition 2026, Snowflake announces new capabilities across Snowflake CoCo and CoWork, Cortex Training, Apps and Agentic Collaboration that ground AI agents in governed business data, let them act with real permissions and compound value across the organization.

Business Ontology: Governed Context for AI

Snowflake Business Ontology lets teams define, own and approve business terms and metrics so AI agents and people work from the same governed definitions.

Snowflake CoWork Adds Profiles, Dashboards & Automations

Snowflake CoWork adds Profiles, Dashboards and Automations so business teams can route questions, query reports and schedule recurring work, fully governed.

Secure Your AI Agents – Free Model Context Protocol (MCP) Security Course

The Model Context Protocol (MCP) helps connect LLMs to external tools, databases, and APIs. But giving AI agents hands and feet to take real-world actions introduces an entirely new attack surface. We

10 Best AI GitHub Repositories to Supercharge Your Agent

GitHub là kho lớn nhất chứa công cụ AI miễn phí nhưng phần lớn lập trình viên chưa khai thác hiệu quả. Các agent như Claude Code thường được cài đặt mà không tận dụng được nguồn tài nguyên phong phú trên GitHub. Các kho lưu trữ AI hàng đầu như LangChain, LlamaIndex hay AutoGPT cung cấp framework mạnh để xây dựng agent thông minh hơn. Việc kết hợp các công cụ này có thể tăng đáng kể khả năng xử lý và tự động hóa của ứng dụng AI.

Bài viết này giúp bạn khám phá 10 kho GitHub AI mạnh nhất để tối ưu hóa khả năng của trợ lý lập trình.

Vercel MCP now supports Client ID Metadata Documents

Vercel MCP now accepts Client ID Metadata Documents (CIMD) as OAuth client IDs, so MCP clients connect without pre-registration or allowlisting.

Agentic Pipelines is generally available: run agents in Cloud or on your own Linux runners

Bitbucket's Agentic Pipelines is now generally available on all paid Cloud plans. Agents can run on Atlassian's cloud runners or on self-hosted Linux Docker (x86_64 and arm64) runners. Teams can now bring their own AI model, with Claude and Codex supported alongside Rovo Dev. Four built-in system agents handle flaky tests, failed steps, test optimization and cleanup, and native Atlassian Rovo MCP integration gives agents access to Jira, Confluence and Bitbucket context. Atlassian reports a 95% first-run merge rate on automated vulnerability fixes and one team saving 1.5 developer-days per week on documentation updates.