Deep dive on evaluating +100 LLMs on how well they can write code for Go, Java and Ruby with DevQualityEval v1.0.

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Discover how the Rails MCP Server creates a bridge between Claude AI and your Rails projects, improving code quality and developer workflow while maintaining control over your Neovim-based development process.

Join us for an evening of Ruby x AI demos and drinks at Betaworks! This happy hour & demo night offers the perfect opportunity to connect with fellow…

Added Add Vector#search endpoint - thank you @jaebrownn for this PR!

Helper utility for next-actionizing my Todoists. Contribute to nateberkopec/gtd development by creating an account on GitHub.

A delightful Ruby way to work with AI. No configuration madness, no complex callbacks, no handler hell – just beautiful, expressive Ruby code. - crmne/ruby_llm

Hello, in this video, I introduce you to Dashi, a Ruby framework for building data apps quickly. I explain how to create a Dashi application, add elements like titles and text, and even build a chatbot using OpenAI.

Provides an easy way to implement a command whose logic is managed by an LLM - foobara/llm-backed-command

There are many a code2prompt tools about, but this one is mine 🪖 (fzf powered, local/remote, now with grepping!) - LemuelCushing/cafeznik

PT-BR Context Until recently, aside from code autocomplete capabilities, I had yet to see...

March 31, 2025 As developers, we often find ourselves automating repetitive tasks—whether setting up configurations, scaffolding files, or adding custom features. Rails generators are a powerful to…

When you work with various LLMs, especially tool oriented LLM’s like Cursor, it’s often helpful to prompt the tool with some context of what the project is, what it does, why and how it works. This is especially useful if you’re working with it via longer chat sessions repeatedly. We’ve all started our LLM chat …

It surprises me sometimes that a lot of devs are still not very bullish on coding with an LLM, so here is a little summary from a Rails dev in the middle of the usage spectrum about what I'm using the LLMs for and what my current toolset is. I

Continuing from the previous episode, we look at removing the LLM in favor of a Classification Model. This will allow a more directed course of action for the Rails application to take based on the user input. We'll also look at fine tuning the model so that we are able to get better classifications of the user input.

About Luthor Luthor builds AI-powered marketing compliance agents for fintechs, banks, investment advisors, and broker-dealers. Our AI streamlines approvals, helping teams publish content faster—without compliance bottlenecks.