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The problem with most multi-agent frameworks is that the orchestration layer is bolted on — you're managing agent references manually, passing outputs between them by hand, and hoping you haven't introduced a cycle. There's no concept of hierarchy. No cycle detection. No way to ask "who's in charge here?" or "how deep in the tree am I?"

Function calling is where most AI frameworks look deceptively simple on the surface and turn into a mess underneath. You define a tool, pass it to the LLM, and when the LLM calls it — who handles the lifecycle? Who fires observability events? Who serializes the result? Who resolves the tool by name when the only thing you have is a string?

Every AI framework eventually hits the same wall: your system prompts start drifting. Agent A has a slightly different version of the SQL rules than Agent B. The tone policy on your support bot is three weeks behind the tone policy on your documentation bot. Someone copy-pasted the wrong version. Nobody noticed.

It's been a while since we've shipped something this big. BoxLang AI 3.0 is a ground-up rethink of how AI agents, models, and tools work in the BoxLang ecosystem — and it lands with ten major features at once.

If you've been watching the AI-assisted development wave from the sidelines, wondering when it would actually matter for your ColdBox HMVC stack — the wait is over. The latest ColdBox CLI release ships a brand-new ai namespace that transforms how you and your team interact with coding agents like Claude, GitHub Copilot, Cursor, Codex, OpenCode, Gemini and many more.

This isn't a chatbot integration or a prompt template sitting in a README. This is a full framework-aware AI system built directly into your development workflow.

We're proud to announce BoxLang 1.11.0, a highly focused performance and stability release that delivers measurable speed improvements across every BoxLang application, with zero code changes required. The team invested deeply in bytecode generation, class loading, lock management, and type casting to produce one of the most impactful runtime optimization releases to date. Alongside the performance wave, this release resolves critical concurrency bugs, hardens DateTime handling, and ships powerful new developer tooling.

We're excited to announce the official BoxLang Homebrew tap — the easiest way to get BoxLang up and running on macOS (and Linux with Homebrew). One command, and you're in business.

We're excited to announce the release of the BoxLang NeoVim Plugin - a comprehensive syntax highlighting solution designed specifically for BoxLang developers working in Vim and NeoVim environments. This isn't a port or adaptation of existing CFML syntax files; it's a ground-up implementation built for BoxLang's modern feature set. Coming soon as well will be our runners, syntax validators, and integration with our LSP for live previews, insights, and much more.

TL;DR: We just released a production-ready starter template that deploys a modern BoxLang application to DigitalOcean App Platform in under 5 minutes—starting at just $5/month. One-click deployment, auto-scaling, automatic redeployments, and zero downtime included.

We're excited to announce BoxLang AI v2.1.0, a major release that brings enterprise-grade features to your AI-powered applications. This release focuses on production readiness with multi-tenant usage tracking, scalable OpenSearch vector memory, complete AWS Bedrock integration, and simplified provider configuration.