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<lastBuildDate>Mon, 11 May 2026 11:39:12 GMT</lastBuildDate>
<pubDate>Mon, 11 May 2026 11:39:12 GMT</pubDate>
<item>
<title>Introducing the BoxLang Starter Plan: Your Path to Modernization Starts Here</title>
<description>We listen. A lot. And one message has come through loud and clear from our community: teams want a way to get into the BoxLang ecosystem with commercial licensing, real tooling, and actual support — without jumping straight to a full BoxLang+ subscription.</description>
<link>https://www.ortussolutions.com/blog/introducing-the-boxlang-starter-plan-your-path-to-modernization-starts-here</link>
<pubDate>Mon, 11 May 2026 10:08:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>Community</category>
<category>Into The Box</category>
<category>News</category>
<category>Releases</category>
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<item>
<title>Everything We Announced at Into The Box 2026: BoxLang, CFML Modernization, AI, ColdBox 8, and the Future of the Ortus Ecosystem</title>
<description>Into The Box 2026 was not just another conference. It was a clear statement about where CFML, BoxLang, and the Ortus ecosystem are heading next.</description>
<link>https://www.ortussolutions.com/blog/everything-we-announced-at-into-the-box-2026-boxlang-cfml-modernization-ai-coldbox-8-and-the-future-of-the-ortus-ecosystem</link>
<pubDate>Fri, 08 May 2026 11:58:00 GMT</pubDate>
<author>cristobal@ortussolutions.com (Cristobal Escobar)</author>
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</item>
<item>
<title>Ortus &amp; BoxLang April Recap 2026</title>
<description>This collection brings together the latest updates, releases, events, and insights from the Ortus ecosystem, covering BoxLang, ColdBox, and modern CFML development. From major product launches and AI advancements to in-depth technical guides and real-world modernization strategies, these resources highlight how developers and organizations are building scalable, future-ready applications on the JVM.
It also captures key moments from the community, including webinars and major events like Into the Box 2026, showcasing the ongoing innovation, collaboration, and evolution happening across the Ortus world.
Product Releases &amp;amp; Tools
Introducing skills.boxlang.io — The Open Agent Skills Ecosystem for BoxLang &amp;amp; the Ortus World
This post introduces skills.boxlang.io, a public, agent-agnostic registry of reusable AI “skills” for the entire Ortus ecosystem. It enables teams to define, version, and share structured AI knowledge across tools like Copilot and Claude, eliminating prompt duplication and creating a scalable, standardized way to power intelligent agents
Introducing skills.boxlang.io — The Open Agent Skills Ecosystem for BoxLang &amp;amp; the Ortus World
This post introduces skills.boxlang.io, a public, agent-agnostic registry of reusable AI “skills” for the entire Ortus ecosystem. It enables teams to define, version, and share structured AI knowledge across tools like Copilot and Claude, eliminating prompt duplication and creating a scalable, standardized way to power intelligent agents.
Introducing cbMCP — Your ColdBox App, Live to Every AI Agent
This post introduces cbMCP, a ColdBox module that turns your running application into a live MCP server for AI agents. It allows tools like Claude or Copilot to directly inspect routes, handlers, and system state in real time—eliminating guesswork and enabling smarter, context-aware AI development.
Build Cross-Platform Desktop Apps with BoxLang
This post introduces the new BoxLang Desktop Runtime, enabling developers to build cross-platform desktop apps using Electron, Vite, and BoxLang. It highlights a “write once, run anywhere” approach—allowing the same codebase to run on macOS, Windows, and Linux with minimal setup and no rewrites.
Introducing BoxLings! An Interactive Teacher for BoxLang and TDD/BDD
This post introduces BoxLings, an interactive CLI learning tool that teaches BoxLang through hands-on exercises and real test feedback. It combines 100+ progressive challenges with a TDD/BDD-first approach, helping developers learn by fixing code, reading tests, and building real skills step by step.
BoxLang Goes Serverless on Google Cloud
This post highlights how BoxLang expands its multi-runtime capabilities by enabling serverless deployments on Google Cloud. It shows how developers can run event-driven functions without managing infrastructure, taking advantage of automatic scaling, faster development cycles, and cost-efficient cloud execution.
ColdBox 8.1.0 Released: AI Routing, MCP, and BoxLang-First Power
This release introduces powerful AI-focused features like toAi() and toMCP() routing, enabling developers to instantly expose AI agents and MCP servers via REST endpoints. It also includes scheduler improvements, better cluster reliability, and deeper alignment with BoxLang as a first-class runtime.
Content &amp;amp; Resources
The Loneliness of CTO Leadership: How to Make Important Decisions with Confidence
This article explores the isolation that often comes with CTO leadership and how it affects decision-making. It highlights strategies like building advisory circles and using structured frameworks to make more confident, high-impact decisions.
BoxLang AI Series: Complete Guide to Building AI Agents
This post brings together the full BoxLang AI series into a complete guide for building production-ready AI agents. It covers core concepts like tools, memory, and agent orchestration, showing how to design scalable, intelligent systems that can reason, act, and integrate with real-world data and APIs.
ColdFusion Modernization for UK Universities (Without Downtime)
This article explores how UK universities modernize legacy ColdFusion systems without disrupting critical services. It highlights strategies like phased upgrades, cloud adoption, and zero-downtime deployments to maintain uptime while improving performance, security, and scalability.
BoxLang Updates
BoxLang v1.13.0: Compatibility, Concurrency, and Formatter Maturity
This release focuses on stability and production readiness, delivering major improvements in CFML compatibility, concurrency handling, and runtime reliability. It also introduces a production-ready formatter with CI/CD support, along with security and performance fixes across the platform.
BoxLang AI v3 Has Landed: Multi-Agent Orchestration, Tooling, Skills and So Much More
This post announces the release of BoxLang AI v3, a major update that redefines how AI agents, models, and tools interact within the BoxLang ecosystem. It introduces a powerful AI Skills system for reusable, versioned knowledge, along with multi-agent orchestration, MCP server integration, and a revamped tooling architecture—enabling developers to build more scalable, modular, and intelligent AI-driven applications on the JVM.
Mini serie of BoxLang AI BoxLang AI Deep Dive
BoxLang AI Deep Dive — Part 1 of 7: The Skills Revolution (AI 3.0 Series)
This post kicks off a 7-part deep dive series on building production-ready AI systems with BoxLang AI 3.0. It introduces the concept of “AI Skills” as reusable, versioned knowledge modules that eliminate prompt duplication and inconsistency across agents. By treating instructions as structured, shareable assets, developers can create more scalable, maintainable, and consistent AI-driven systems across their applications.
BoxLang AI Deep Dive — Part 2 of 7: Building a Production-Grade AI Tool Ecosystem (AI 3.0 Series)
This post continues the BoxLang AI 3.0 deep dive series, focusing on how to build a scalable and production-ready AI tool ecosystem. It explores the internal architecture behind tools—introducing components like BaseTool, ClosureTool, and the global tool registry—designed to handle lifecycle management, observability, and execution automatically. By abstracting complexity away from developers, BoxLang enables consistent, reusable, and modular tool integration across AI agents and workflows.
BoxLang AI Deep Dive — Part 3 of 7: Multi-Agent Orchestration — Building AI Teams That Work (AI 3.0 Series)
This post explores how BoxLang AI 3.0 enables true multi-agent orchestration by introducing hierarchical agent structures where agents can delegate tasks to specialized sub-agents automatically. It highlights how agents are organized in a tree with built-in cycle detection, stateless execution, and per-call memory isolation—allowing developers to build scalable “AI teams” that collaborate efficiently without manual wiring or complex coordination logic.
BoxLang AI Deep Dive — Part 4 of 7: Middleware — The Missing Layer in Every AI Framework (AI 3.0 Series)
This post dives into the middleware system in BoxLang AI 3.0, introducing a critical layer that sits between agent execution and actual LLM/tool interactions. It explains how middleware enables cross-cutting concerns like logging, retries, guardrails, and human-in-the-loop validation without modifying core agent logic. By using a hook-based lifecycle and composable middleware stack, developers can gain full control, observability, and testability of AI workflows—solving one of the biggest challenges in building reliable, production-grade AI systems.
BoxLang AI Deep Dive — Part 5 of 7: One API, 17 Providers — The Provider Architecture Deep Dive (AI 3.0 Series)
This post explores the provider architecture behind BoxLang AI 3.0, focusing on how a single unified API can seamlessly support 17 different AI providers. It introduces a capability-based system that ensures type-safe interactions, prevents runtime errors, and allows developers to switch providers with zero code changes. By abstracting provider-specific logic into a structured hierarchy and transport layer, BoxLang eliminates vendor lock-in and enables flexible, future-proof AI integrations across cloud and local environments.
BoxLang AI Deep Dive — Part 6 of 7: Memory Systems &amp;amp; RAG — Building AI That Remembers (AI 3.0 Series)
This post explores how BoxLang AI 3.0 implements advanced memory systems and Retrieval-Augmented Generation (RAG) to build AI applications that retain context and knowledge over time. It introduces two core memory types—standard memory for conversation history and vector memory for semantic retrieval—along with over 20 memory strategies, document loaders, and multi-tenant identity routing. By combining short-term context with long-term knowledge through hybrid memory, developers can build intelligent AI systems that are context-aware, scalable, and grounded in real data rather than relying solely on model responses.
BoxLang AI Deep Dive — Part 7 of 7: MCP — The Protocol That Connects Everything (AI 3.0 Series)
This final post in the BoxLang AI 3.0 series explores the Model Context Protocol (MCP), a standardized way for AI agents to discover and interact with tools across different systems and languages. It explains how BoxLang acts as both an MCP client and server—allowing developers to consume external tools or expose their own—while eliminating integration complexity. By adopting MCP, BoxLang enables a truly interoperable AI ecosystem where agents, tools, and services can seamlessly connect regardless of implementation.
How to Develop AI Agents Using BoxLang AI: A Practical Guide
This hands-on guide walks through how to build real-world AI agents using BoxLang AI, moving beyond simple chatbots into systems that can reason, act, and remember. It covers core concepts like tools, memory, and agents, and demonstrates how to create a production-ready support agent capable of querying data, calling APIs, and handling multi-step workflows. The article emphasizes a unified API approach, multi-provider flexibility, and scalable architecture for building intelligent, autonomous applications on the JVM.
Updates
BoxLang v1.12.0: Destructuring, Spread, Ranges, Watchers, Oh My!
This release introduces major language enhancements like destructuring, spread syntax, and a new range operator, along with real-time file watchers and performance improvements. It marks a shift toward more expressive, modern development features while continuing to improve stability and speed across the BoxLang ecosystem.
BoxLang AI v3.1 Released: Audio, Async, Parallel Pipelines, and More
This release expands BoxLang AI with audio capabilities, async execution, and parallel pipelines, enabling faster and more scalable AI workflows. It also adds new tooling, provider support, and stability improvements for production-ready AI applications.
Ortus Upcoming Events &amp;amp; Webinars
CFCamp Pre-Conference Workshops Led by Ortus Solutions
Ortus Solutions is hosting hands-on pre-conference workshops at CFCamp, designed to give developers practical experience with CFML, Ortus tools, and best practices before the main event kicks off.
Save your Spot
Ortus Past Events
Join Our Webinar: Intro to BoxLang AI – One API to Rule Them All (Part II)
This post highlights a webinar held on April 16, 2026, focused on building production-ready AI workflows using BoxLang AI. It showcases how developers can leverage a single unified API to work across multiple AI providers, create autonomous agents, and build scalable RAG pipelines—demonstrating practical approaches to modern AI development on the JVM.
Into the Box 2026 is Here: Learn All the Details!
This post highlights Into the Box 2026, held from April 29 to May 1 in Washington, DC, under the theme “Modernization in Motion: Building a Dynamic Future.” The event featured deep dives into BoxLang, AI, cloud-native development, and modern architectures, along with hands-on workshops, networking opportunities, and full access to session recordings and resources.
Watch the Keynote 01 &amp;amp; 02
Join the Ortus Community
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</description>
<link>https://www.ortussolutions.com/blog/ortus-boxlang-april-recap-2026</link>
<pubDate>Tue, 05 May 2026 19:49:00 GMT</pubDate>
<author>vcampos@ortussolutions.com (Victor Campos)</author>
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</item>
<item>
<title>Boxlang SOAP Compatibility Module Released</title>
<description>We're thrilled to announce the first stable release of bx-compat-soap, the official SOAP web services compatibility module for BoxLang web runtimes.</description>
<link>https://www.ortussolutions.com/blog/boxlang-soap-compatibility-module-released</link>
<pubDate>Fri, 01 May 2026 14:54:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
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</item>
<item>
<title>Boxlang REST Compatibility Module v1.0.0 Released</title>
<description>We're excited to announce the first stable release of bx-compat-rest, the official CFML REST compatibility module for the BoxLang web runtime. This release means that existing ACF and Lucee users, whose applications rely on CFML REST implemenations can now run on BoxLang.</description>
<link>https://www.ortussolutions.com/blog/boxlang-rest-compatibility-module-v100-released</link>
<pubDate>Fri, 01 May 2026 14:44:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>REST</category>
<guid isPermaLink="false">https://www.ortussolutions.com/blog/boxlang-rest-compatibility-module-v100-released</guid>
</item>
<item>
<title>BoxLang v1.13.0: Compatibility, Concurrency, and Formatter Maturity</title>
<description>BoxLang 1.13.0 is here, and it marks an important step forward for the platform. This release includes 48 tickets—every one of them completed—reflecting a focused effort on CFML compatibility, a more robust concurrency engine, a production-hardened miniserver, and meaningful tooling improvements.</description>
<link>https://www.ortussolutions.com/blog/boxlang-v1130-compatibility-concurrency-and-formatter-maturity</link>
<pubDate>Thu, 30 Apr 2026 18:05:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>Community</category>
<category>Into The Box</category>
<category>News</category>
<category>Releases</category>
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</item>
<item>
<title>&#128640; ColdBox CLI 8.11: The Era of AI Skills Comes to Every ColdBox &amp; BoxLang App</title>
<description>ColdBox CLI 8.11 is here, and it's one of the most significant releases we've shipped for AI-assisted development. This release wires the CLI directly into our brand new public skills directory at skills.boxlang.io, brings our AI tooling in line with industry-wide agent conventions, and introduces a wave of quality-of-life improvements that make AI integration feel less like setup and more like infrastructure.</description>
<link>https://www.ortussolutions.com/blog/coldbox-cli-811-the-era-of-ai-skills-comes-to-every-coldbox-boxlang-app</link>
<pubDate>Thu, 30 Apr 2026 08:00:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>ColdBox MVC</category>
<category>ColdFusion</category>
<category>News</category>
<category>OpenSource</category>
<category>Releases</category>
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</item>
<item>
<title>&#127891; Introducing skills.boxlang.io — The Open Agent Skills Ecosystem for BoxLang &amp; the Ortus World</title>
<description>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.</description>
<link>https://www.ortussolutions.com/blog/introducing-skillsboxlangio-the-open-agent-skills-ecosystem-for-boxlang-the-ortus-world</link>
<pubDate>Thu, 30 Apr 2026 08:00:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>ColdBox MVC</category>
<category>ColdFusion</category>
<category>News</category>
<category>OpenSource</category>
<category>Releases</category>
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</item>
<item>
<title>&#128752;️ Introducing cbMCP — Your ColdBox App, Live to Every AI Agent</title>
<description>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. &#127919;</description>
<link>https://www.ortussolutions.com/blog/introducing-cbmcp-your-coldbox-app-live-to-every-ai-agent</link>
<pubDate>Thu, 30 Apr 2026 08:00:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>ColdBox MVC</category>
<category>ColdFusion</category>
<category>News</category>
<category>OpenSource</category>
<category>Releases</category>
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</item>
<item>
<title>&#128421;️ Build Cross-Platform Desktop Apps with BoxLang</title>
<description>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. &#127919;</description>
<link>https://www.ortussolutions.com/blog/build-cross-platform-desktop-apps-with-boxlang</link>
<pubDate>Thu, 30 Apr 2026 08:00:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>ColdBox MVC</category>
<category>ColdFusion</category>
<category>News</category>
<category>OpenSource</category>
<category>Releases</category>
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<item>
<title>BoxLang AI v3.1 Released - Audio, Async, Parallel Pipelines, and More &#127908;⚡&#128256;</title>
<description>BoxLang AI 3.1 is here, and it's a release that makes your agents smarter, faster, and more capable than ever. &#127881;</description>
<link>https://www.ortussolutions.com/blog/boxlang-ai-v31-released-audio-async-parallel-pipelines-and-more</link>
<pubDate>Mon, 20 Apr 2026 09:00:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>Community</category>
<category>Into The Box</category>
<category>News</category>
<category>Releases</category>
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</item>
<item>
<title>ColdBox 8.1.0 Released — AI Routing, MCP, and BoxLang-First Power! &#128640;</title>
<description>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.</description>
<link>https://www.ortussolutions.com/blog/coldbox-810-released-ai-routing-mcp-and-boxlang-first-power</link>
<pubDate>Tue, 14 Apr 2026 20:37:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
<category>BoxLang</category>
<category>CacheBox</category>
<category>ColdBox MVC</category>
<category>CommandBox</category>
<category>ContentBox CMS</category>
<category>LogBox</category>
<category>WireBox</category>
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</item>
<item>
<title>ColdFusion Modernization for UK Universities Without Downtime</title>
<description>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 monolithic architectures
For UK universities, modernization is no longer optional. However, the challenge is clear:
How do you modernize a legacy ColdFusion university portal without disrupting students, faculty, and administrative operations?
Why ColdFusion Still Powers UK University Portals
ColdFusion became popular in UK universities during the early 2000s because it allowed rapid development of:
Student application portals
Course management systems
Alumni platforms
Financial aid and bursary systems
Internal administrative dashboards
Over time, these systems evolved into large CFML legacy platforms, often with limited documentation, mixed coding styles, and minimal automated testing.
Today, many UK university IT departments face growing pressure to:
Improve security compliance under GDPR
Reduce operational risk
Migrate to cloud infrastructure
Improve scalability during enrollment peaks
Reduce dependency on a shrinking CFML talent pool
The Real Risk: Downtime in Higher Education Systems
In the United Kingdom, university systems cannot fail during:
Enrollment periods
Exam results publication
Tuition payment deadlines
Student visa processing
Clearing season
Any downtime during these periods can result in:
Reputational damage
Student dissatisfaction
Financial losses
Compliance concerns
This makes a full rewrite unrealistic.
Most UK universities cannot afford to shut down their ColdFusion portals for months while rebuilding them from scratch.
Common Problems in UK ColdFusion University Systems
Through our work with legacy CFML systems, we consistently see similar patterns:
1. Monolithic Architectures
Many university portals were built as single large applications without modular separation.
2. Outdated Adobe ColdFusion Versions
Older ACF versions increase security and compliance risk, particularly under GDPR.
3. Manual Deployments
Lack of CI/CD pipelines increases deployment risk.
4. Limited Observability
No distributed tracing, inconsistent logs, and insufficient monitoring.
5. Talent Scarcity
Fewer developers in the United Kingdom specialize in ColdFusion, increasing operational risk.
A Safer Path: Progressive ColdFusion Modernization in the UK
Modernizing ColdFusion systems in UK universities does not require a disruptive rewrite.
A structured approach includes:
Step 1: Technical and Security Audit
Assess the ColdFusion stack, JVM configuration, dependencies, and infrastructure.
Step 2: Stabilization and Hardening
Upgrade outdated components, apply security patches, improve configuration.
Step 3: Progressive Refactoring
Break monolithic CFML systems into modular ColdBox or HMVC structures.
Step 4: CI/CD Implementation
Introduce automated pipelines to reduce deployment risk.
Step 5: Cloud-Ready Architecture
Prepare the system for containerization, Kubernetes, or hybrid cloud environments.
This approach ensures:
Zero downtime modernization
Operational continuity
Compliance alignment
Long-term sustainability
Cloud Migration for UK Universities Running ColdFusion
Many universities in the United Kingdom are moving toward:
AWS UK regions
Azure UK South / UK West
Hybrid cloud strategies
However, legacy CFML systems often struggle with:
Containerization
Kubernetes orchestration
Modern DevOps workflows
With the right modernization framework, ColdFusion applications can be:
Containerized safely
Deployed via CI/CD pipelines
Integrated with modern authentication systems
Scaled for peak academic traffic
Reducing Risk Without Rewriting Everything
A full rebuild is expensive, risky, and politically complex in university environments.
A progressive modernization strategy allows UK universities to:
Protect existing investment
Reduce technical debt
Improve security posture
Introduce modern cloud-native capabilities
Maintain continuous service for students and faculty
Why UK Universities Choose Specialized CFML Modernization Partners
Modernizing ColdFusion in the United Kingdom requires:
Deep CFML expertise
Understanding of GDPR and UK compliance standards
Experience with zero-downtime migrations
Knowledge of cloud-native transformation
Ability to train internal IT teams
A specialized partner can help universities move forward without disrupting academic operations.
Final Thoughts
ColdFusion still plays a critical role in many UK university systems.
The question is no longer whether modernization will happen, but how it will be executed.
The safest path forward is structured, progressive modernization that preserves operational continuity while preparing systems for the next decade.
If your university in the United Kingdom relies on ColdFusion or CFML for critical platforms, now is the time to evaluate a safe and controlled modernization roadmap. Contact us.
</description>
<link>https://www.ortussolutions.com/blog/coldfusion-modernization-for-uk-universities-without-downtime</link>
<pubDate>Mon, 13 Apr 2026 12:17:00 GMT</pubDate>
<author>cristobal@ortussolutions.com (Cristobal Escobar)</author>
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</item>
<item>
<title>BoxLang AI Series: Complete Guide to Building AI Agents</title>
<description>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 to understand what’s possible before diving into the technical details, start here:
https://www.ortussolutions.com/blog/how-to-develop-ai-agents-using-boxlang-ai-a-practical-guide
This guide provides a high-level view of how to build AI agents, integrate multiple models, and design real-world workflows using BoxLang.
The Full Series
Follow the series in order to go from fundamentals to advanced implementations:
Part 1
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-1-of-7-the-skills-revolution
Part 2
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-2-of-7-building-a-production-grade-ai-tool-ecosystem
Part 3
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-3-of-7-multi-agent-orchestration-building-ai-teams-that-work
Part 4
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-4-of-7-middleware-the-missing-layer-in-every-ai-framework
Part 5
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-5-of-7-one-api-17-providers-the-provider-architecture-deep-dive
Part 6
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-6-of-7-memory-systems-rag-building-ai-that-remembers
Part 7
https://www.ortussolutions.com/blog/boxlang-ai-deep-dive-part-7-of-7-mcp-the-protocol-that-connects-everything
What You’ll Learn
Across this series, you’ll learn how to:
Build AI agents with memory, tools, and reasoning capabilities
Connect to multiple AI providers with a single unified API
Implement Retrieval-Augmented Generation (RAG) pipelines
Work with vector databases and document ingestion
Design scalable, production-ready AI workflows
Deploy AI agents in modern cloud environments
Key Resources
To help you go deeper and start building right away:
BoxLang AI Playgroundhttps://ai.boxlang.io/
Official BoxLang AI Documentationhttps://ai.ortusbooks.com/
BoxLang Websitehttps://boxlang.io/
GitHub Examples and Integrationshttps://github.com/ortus-boxlang
Why BoxLang AI
BoxLang AI is designed to remove the complexity of working with multiple AI providers and tools. With a single API, you can build powerful AI-driven applications without vendor lock-in, while maintaining full control over your architecture.
If you’re working with legacy systems, BoxLang also allows you to introduce AI capabilities incrementally without needing a full rewrite.
Ready to Start Building?
Explore the series, try the examples, and start building your own AI agents today.
If you have questions or want to see how this can apply to your existing systems, feel free to reach out to the Ortus team.
Next →</description>
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<pubDate>Mon, 13 Apr 2026 09:45:00 GMT</pubDate>
<author>cristobal@ortussolutions.com (Cristobal Escobar)</author>
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<title>BoxLang Goes Serverless on Google Cloud &#128640;</title>
<description>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.</description>
<link>https://www.ortussolutions.com/blog/boxlang-goes-serverless-on-google-cloud</link>
<pubDate>Thu, 09 Apr 2026 11:26:00 GMT</pubDate>
<author>lmajano@ortussolutions.com (Luis Majano)</author>
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<category>Community</category>
<category>Into The Box</category>
<category>News</category>
<category>Releases</category>
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