Ruby Is the Best Language for Building AI Apps
A pragmatic, code-first argument for Ruby as the best language to ship AI products in 2026.
RubyLLM 1.12: Agents Are Just LLMs with Tools
Agents aren't magic. They're LLMs that can call your code. RubyLLM 1.12 adds a clean DSL to define and reuse them.
Dictation Is the New Prompt (Voxtype on Omarchy)
Stop typing every prompt. Speak it instead, with a fast Rust stack and a clean Omarchy setup.
Nano Banana with RubyLLM
Nano Banana hides behind Google's chat endpoint. Here's the straight line to ship it with RubyLLM.
RubyLLM 1.4-1.5.1: Three Releases in Three Days
Structured output that works, Rails generators that didn't exist, and why we shipped Wednesday, Friday, and Friday again.
Async Ruby is the Future of AI Apps (And It's Already Here)
How Ruby's async ecosystem transforms resource-intensive LLM applications into efficient, scalable systems - without rewriting your codebase.
RubyLLM 1.3.0: Smarter Attachments, Multi-Tenancy, and No More Manual Model Tracking
Attachments figure themselves out, contexts isolate configuration per tenant, and model data stays current automatically.
The LLM Capabilities and Pricing API is Live
The standard API for LLM model information I announced last month is now live and already integrated into RubyLLM 1.3.0.
A Standard API for LLM Capabilities and Pricing
No provider exposes model capabilities and pricing through their API. So we're building one.