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Learning a new AI API usually means jumping between scattered documentation pages, guessing at imports, and copy-pasting code that may or may not still work. We wanted something better for BoxLang AI, so we built the BoxLang AI Explorer: a local, browser-based catalog of runnable BoxLang AI examples, organized by category and difficulty, each with guidance, source code, and sample output.

If you've spent years in Spring Boot, Micronaut, or Jakarta EE, "web framework" usually means a servlet container, an embedded Tomcat or Netty, a build step, and a fat jar before anything answers a request. What if you could skip all of that and still be on the JVM?

TOML has quietly become the configuration format of the modern toolchain. Rust ships Cargo.toml, Python ships pyproject.toml, and a growing pile of CLIs, deployment platforms, and infrastructure tools expect it. If your BoxLang application needs to read one of those files, or generate one, you now have first class support for it.

BoxLang 1.16.0 is here, closing 50 issues across new features, improvements, and bug fixes. The theme running through this release is control: control over how HTTP clients are created and reused, control over what happens when a request fails, control over how much data a response is allowed to buffer, control over when Java classpaths reload, and tighter alignment with CFML behavior in the edge cases that only show up in production.

Every enterprise runs on Word documents. Contracts. RFPs. Proposals. Board reports. Offer letters. HR handbooks. Compliance policies. Invoices. Statements of work. Legal memos.

BoxLang 1.15.0 is a high-impact release with two big headlines and a long tail of hardening. The first headline is a massive performance upgrade to string handling: a new first-class BoxStringBuilder type, compile-time literal folding, smarter &= semantics, and a runtime concat strategy that automatically switches to builder-backed accumulation once your expression gets big enough. Your existing string-heavy code just got faster. No rewrites required.

You launch your BoxLang application, traffic flows, schedulers execute, caches warm, threads spin. And when something goes wrong, you jump between logs, dashboards, admin panels, and monitoring tools to piece together the full picture. Meanwhile, your AI coding assistant only understands your source code. It has no visibility into your running application. It cannot tell you why your thread pool is saturated, whether cache performance is degrading, or which scheduled task silently failed overnight.

JWT authentication is everywhere. But rolling it correctly — with proper algorithm enforcement, key management, clock skew handling, JWE encryption, and zero security footguns — is anything but trivial. Today, we're shipping bx-jwt, a production-ready JWT/JWE module for BoxLang that handles all of it out of the box, so you can focus on building, not fighting cryptography.

BoxLang AI 3.2.0 is here, and it's a landmark release. We're shipping five major features — image generation, web search, a fluent audio builder API, a centralized agent registry, and deep MCP observability — along with a suite of analytics improvements and a critical bug fix. Let's dig in. 🎉

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.