# Ruby Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/ruby
> Markdown URL: https://aitinkerers.org/technologies/ruby.md
> Technology record last updated: 2026-03-10T14:09:20Z
> Generated: 2026-09-20T19:46:11Z

Ruby is a dynamic, open-source, object-oriented language: it prioritizes programmer happiness and productivity with its elegant, highly readable syntax.

Ruby is an interpreted, high-level language created in the mid-1990s by Yukihiro "Matz" Matsumoto, with a core philosophy of making programming enjoyable (MINASWAN). It is purely object-oriented (everything is an object) and emphasizes simplicity and expressiveness, allowing developers to write less code for complex logic. The technology's massive real-world impact comes via the Ruby on Rails web application framework, which powers applications like GitHub and Shopify. The ecosystem is robust, supported by the RubyGems package manager, which hosts over 200,000 community-contributed libraries (gems).

- Official technology site: https://www.ruby-lang.org/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Skipping RAG: Gemini Long Context Performance Analysis](https://montreal.aitinkerers.org/talks/rsvp_3urb7RAFgWI)

This project demonstrates how Google's Gemini Context Caching API can be effectively managed through a two-layer caching system to improve performance and reduce costs. The benchmark results are compelling: a 74% cost reduction (from $4.31 to $1.12) and 17% faster response times (21.6s vs 26.3s average) with just a 1-minute TTL over 5 test runs. The implementation features a Redis + Google cache architecture where Redis stores metadata (Google cache IDs, MD5 hashes of content, expiration times) while Google's servers store the actual context content. The system handles cache invalidation automatically through Redis TTL and content change detection via MD5 hashing, creating a seamless developer experience - developers simply pass their content and a cache key, and the system manages everything else. Technical highlights include: Automatic cache invalidation via Redis TTL and MD5 content hashing RESTful integration with Google's Context Cache API Detailed benchmarking system measuring latency, token usage, and costs Comparison of cached vs uncached approaches with real-world data Ruby implementation with minimal dependencies (just Redis and net/http)

- Event context: AI Tinkerers Montreal - December 2024 Meetup at IVADO Labs — 2024-12-03 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_3urb7RAFgWI

## Related Technologies

- [Context Cache API](https://aitinkerers.org/technologies/context-cache-api) ([Markdown](https://aitinkerers.org/technologies/context-cache-api.md)) — 1 public demo
- [Gemini](https://aitinkerers.org/technologies/gemini) ([Markdown](https://aitinkerers.org/technologies/gemini.md)) — 188 public demos
- [MD5](https://aitinkerers.org/technologies/md5) ([Markdown](https://aitinkerers.org/technologies/md5.md)) — 1 public demo
- [net/http](https://aitinkerers.org/technologies/net-http) ([Markdown](https://aitinkerers.org/technologies/net-http.md)) — 1 public demo
- [Redis](https://aitinkerers.org/technologies/redis) ([Markdown](https://aitinkerers.org/technologies/redis.md)) — 23 public demos