Why Ruby Is the Better Language for LLM-Powered Development
Ruby uses 42–45% fewer tokens than TypeScript and 28–32% fewer than Python across every major LLM tokenizer. Here are the numbers, the code, and the argument.
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Engineering Insights
Rails performance, reliability, modernization and practical AI systems — field notes from diagnosing, building and operating production software.
Training Rails LLMs, part 2: LoRA training, GGUF quantization, and local deployment
The second half of our fine-tuning project — training three models on a single A100 GPU for $75, fighting disk quotas during export, quantizing 30 billion parameters into a 17 GB file, and deploying everything locally with Ollama.
Read moreTraining Rails LLMs, part 1: from 45 repos to 111K training samples
How we built a 15-step dataset pipeline from our internal Rails projects to train three domain-specific language models that write code our way. The dataset engineering mattered more than the model.
Read moreMigrating Off Heroku: A Rails Developer's Guide to DigitalOcean, Hetzner, Hatchbox, and Kamal
Heroku got expensive and the free tier is gone. Here are the hosting alternatives we actually use for Rails apps — DigitalOcean, Hetzner, Hatchbox.io, and Kamal — with real config examples and honest trade-offs.
Read moreWhat's New in Ruby 4.0: ZJIT, Ruby Box, and What It Means for Your Apps
Ruby 4.0 shipped in December 2025 with two headline features — the ZJIT compiler and Ruby Box. Here's what actually changed, what's worth paying attention to, and whether you should upgrade.
Read moreHow to Audit a Legacy Rails Codebase Before Taking It Over
A practical checklist for evaluating an inherited Rails application. What to look at first, which red flags actually matter, and how to estimate the real cost of taking over someone else's code.
Read moreHow to Build and Publish a Ruby Gem from Scratch
A practical walkthrough of building a Ruby gem from an empty directory to a published package on RubyGems.org. No magic, no hand-waving — just the actual steps and the files you need.
Read moreSidekiq Patterns We Actually Use in Production Rails Apps
Battle-tested Sidekiq patterns from years of running background jobs in production. Covers job design, error handling, idempotency, and the configuration choices that keep things from falling apart at 3am.
Read moreHow to use langchainrb and llama3 to generate blog posts
A quick walkthrough on setting up LangchainRb with Llama 3 via Ollama to generate blog posts using retrieval-augmented generation in a Rails application.
Read moreDeploying a Shopify App on DigitalOcean: A Comprehensive Guide
Discover the straightforward process of deploying a Shopify app on DigitalOcean in this concise guide. Learn how to connect your app with a GitHub repository, configure crucial environment variables, and seamlessly integrate your app with Shopify. Ideal for developers looking to leverage DigitalOcean's robust cloud platform for efficient Shopify app deployment.
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