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Today we're launching something we've been quietly building for months: skills.boxlang.io — a public, agent-agnostic directory for AI skills covering BoxLang, ColdBox, TestBox, CommandBox, and the entire Ortus ecosystem.

Today we're releasing cbMCP, the official ColdBox MCP Server — a BoxLang-only module that turns your running ColdBox application into a fully-compliant Model Context Protocol (MCP) server. Plug in any MCP-capable AI client — Claude Desktop, VS Code Copilot, Cursor, Codex, Gemini CLI, OpenCode — and your AI assistant gets live, read-only introspection across the entire ColdBox platform: routing, handlers, modules, WireBox, CacheBox, LogBox, schedulers, interceptors, and async executors. 🎯

Today we're shipping the initial release of the BoxLang Desktop Runtime — powered by Electron, BoxLang, and Vite. With one starter, one npm run dev, and one packaging command, you can build and distribute professional desktop applications for macOS, Windows, and Linux using the BoxLang you already know. 🎯

BoxLang AI 3.1 is here, and it's a release that makes your agents smarter, faster, and more capable than ever. 🎉

We are thrilled to announce ColdBox 8.1.0, a targeted minor release packed with powerful new features, important improvements, and critical bug fixes across ColdBox, WireBox, and CacheBox. While minor in version number, this release delivers some truly exciting capabilities — especially for BoxLang developers building AI-powered applications.

Across the United Kingdom, many universities still rely on legacy ColdFusion and CFML systems to power student portals, enrollment platforms, research databases, payment gateways, and internal academic workflows.

These systems are often:

• 15 to 25 years old
• Mission-critical
• Deeply integrated with student information systems
• Running on older Adobe ColdFusion or Lucee versions
• Tightly coupled monolithi...

The world of AI development is moving fast, but building real, production-ready AI agents doesn’t have to be complex.

This series walks you step by step through how to design, build, and deploy AI agents using BoxLang AI. Whether you’re exploring AI for the first time or looking to modernize your current applications, these guides will help you move from concept to implementation with clarity.

Start Here: A Practical Overview

If you’re new to BoxLang AI or want t...

We just shipped the BoxLang Google Cloud Functions Runtime — and it brings the same write-once-run-anywhere serverless experience you already know from our AWS Lambda runtime, now running natively on Google Cloud Functions Gen2.

We believe the best way to learn a programming language is by writing code — real code, with real feedback, and real tests. That's exactly why we built BoxLings.

BoxLang 1.12.0 marks a meaningful turning point. After establishing a rock-solid foundation across runtime, compiler, CFML compatibility, and the module ecosystem, BoxLang has entered its innovation cycle. The language is mature, battle-tested, and production-deployed across the industry.