Artificial intelligence is opening new possibilities for web applications, but building those experiences can become complicated quickly. Each AI provider brings its own SDK, authentication process, APIs, and model-specific requirements. Add agents, memory, tools, structured responses, or document retrieval, and development teams can find themselves managing integrations instead of improving their applications.

Introduced at Into the Box 2026, BoxLang AI gives developers a more unified way to build AI-powered applications within the BoxLang ecosystem.

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.