Model Context Protocol

Microsoft has open sourced code-testing-generator, a polyglot unit-test agent shipping in the MIT-licensed dotnet/skills repository. It reads a repository before writing anything — detecting the language, test framework, existing conventions, and the real build and test commands — then plans, writes, runs and validates the tests it produces. On Microsoft's internal 152-task benchmark it completed 140 tasks against 120 for stock GitHub Copilot on the same model, with the gain concentrated almost entirely in vague prompts and diff-targeted requests.

Move beyond traditional text-based parsing with PixelRAG, an end-to-end system that treats web pages and PDFs as images. This tutorial explores the complete pipeline—from rendering and tiling to multimodal embedding and hybrid search—enabling developers to build high-performance, visual document retrieval systems

Kimi Code CLI is Moonshot AI's open-source terminal coding agent, written in TypeScript with subagents and MCP configuration.

Abhigyan Patwari's GitNexus has quietly crossed 19,000 GitHub stars by solving a problem every AI-assisted developer has hit but rarely named — agents that edit code they don't actually understand.

In this hands-on tutorial, we bring the core principles of the Model Context Protocol (MCP) to life by implementing a lightweight, context-aware AI assistant...

The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified way to connect AI assistants (LLMs) with external...