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Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point
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เนื้อหาจัดทำโดย Valentino Stoll, Joe Leo, Valentino Stoll, and Joe Leo เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Valentino Stoll, Joe Leo, Valentino Stoll, and Joe Leo หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Valentino Stoll and co-host Joe Leo kick off The Ruby AI Podcast with a candid deep-dive into what it really takes to ship AI-powered products in Ruby today. From the origin story of Joe’s test-writing automation platform Phoenix to the surge of new Ruby-first agent libraries, the duo explore why the community is approaching a tipping point, how to escape “chat-bot-only” thinking, and where reactive, evaluation-driven tooling is headed next. Along the way they trade war stories about semver mishaps, code-review “LLM tells,” and the projects, meet-ups, and conferences that keep the Ruby-AI scene buzzing.
Takeaways
- The Ruby AI community is growing and offers valuable networking opportunities.
- Ruby's syntax is well-suited for AI applications, making it a fun choice for developers.
- Generative AI tools can increase productivity but also add cognitive burden to developers.
- The integration of AI tools in Ruby applications presents unique challenges.
- Developers are relearning how to program with the advent of generative AI.
- AI frameworks are evolving, and Ruby developers need to stay updated.
- The importance of evaluating AI tools and their effectiveness in real-world applications.
- Ruby's flexibility allows for creative solutions in AI development.
- The future of AI in software development will require continuous adaptation.
- Emerging AI frameworks in Ruby are promising but require careful evaluation.
Referenced In The Show
- Phoenix by DefMethod – https://www.phoenix.love/
- OpenAI Ruby SDK – https://github.com/openai/openai-ruby
- Sublayer – https://github.com/sublayerapp/sublayer
- CrewAI – https://github.com/crewAIInc/crewAI
- Active Agent – https://github.com/activeagents/activeagent
- Raix – https://github.com/OlympiaAI/raix
- Shopify Roast – https://github.com/Shopify/roast
- LangChain.rb – https://github.com/patterns-ai-core/langchainrb
- Hugging Face smolagents – https://huggingface.co/docs/smolagents/index
- Building Code Agents with Hugging Face smolagents – https://www.deeplearning.ai/short-courses/building-code-agents-with-hugging-face-smolagents/
- V's side project, NowReading.dev – https://nowreading.dev
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