Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

The Ruby AI Podcast

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תוכן מסופק על ידי Valentino Stoll, Joe Leo, Valentino Stoll, and Joe Leo. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Valentino Stoll, Joe Leo, Valentino Stoll, and Joe Leo או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

NerdWallet's Smart Money Podcast

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The Right Way to Dodge Scams, Plus Learn How Robo-Investing Works 29:56

לפני 5 weeks29:56

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29:56

Learn how to dodge scams to protect your money, then understand how to compare robo vs. traditional investment risks. What should you do if your credit card is compromised in a scam? Are robo-advisors riskier than traditional brokerage accounts? Hosts Sean Pyles and Elizabeth Ayoola discuss how to spot and respond to identity theft and dig into how robo-advisors stack up to traditional investing platforms to help you protect your financial life. They kick off Smart Money’s new Scam Stories series by welcoming guest Scramble Hughes, a circus performer and scam victim, who shares a real-life experience with credit card fraud. They discuss tips and tricks on recognizing red flags like mass spam messages, acting fast by calling the number on your card (not clicking links), and filing credit freezes with all three credit bureaus. Then, investing Nerd Bella Avila joins Sean and Elizabeth to discuss how robo-advisors compare to traditional brokerage accounts. They discuss risk levels in automated portfolios, SIPC insurance protections, and key factors to consider when choosing a platform like account minimums, platform stability, and user experience. See NerdWallet’s top picks for the best robo-advisors of 2025 here: https://www.nerdwallet.com/best/investing/robo-advisors Want us to review your budget? Fill out this form — completely anonymously if you want — and we might feature your budget in a future segment! https://docs.google.com/forms/d/e/1FAIpQLScK53yAufsc4v5UpghhVfxtk2MoyooHzlSIRBnRxUPl3hKBig/viewform?usp=header In their conversation, the Nerds discuss: credit card fraud, how to report identity theft, robo advisor vs brokerage account, SIPC insurance limits, credit freeze Experian, how to freeze your credit, credit card scams TikTok, how to know if a text is a scam, what is a robo advisor, tax loss harvesting robo advisor, ETF risk robo advisor, ETF diversification, FDIC vs SIPC, how to block spam texts, freeze credit TransUnion, safest robo advisors 2025, best robo advisor for ETFs, hacked credit card reader, RFID credit card theft, how to recover from identity theft, difference between SIPC and FDIC, scams targeting small business owners, how to secure your investment accounts, how to protect credit card information, email spam after identity theft, what to do after credit card theft, how long do fraud refunds take, when to freeze credit, best practices after identity theft, and comparing investment platform safety. To send the Nerds your money questions, call or text the Nerd hotline at 901-730-6373 or email podcast@nerdwallet.com . Like what you hear? Please leave us a review and tell a friend. Learn more about your ad choices. Visit megaphone.fm/adchoices…

לפני שנה 53:05

MP3•בית הפרקים

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

6 פרקים

#Tech #Entrepreneur #Business #News #Tech News #Valentino Stoll, Landon Gray #Landon Gray #Valentino Stoll #Ruby #Ruby Programming #Artificial Intelligence #Machine Learning #Ruby On Rails #Code #Technology #Software Development #Ruby Developers #AI Innovators #Programming

Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

The Ruby AI Podcast

published לפני שנה

שתפו

MP3•בית הפרקים

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

6 פרקים

כל הפרקים

1
Evaluating LLMs with Leva 1:00:00

לפני 6 ימים1:00:00

1:00:00

In this episode of the Ruby AI Podcast, host Valentino Stoll talks with special guest Kieran, a prominent figure in the Ruby AI space. Kieran recently gave a talk at the San Francisco Ruby Meetup about his new gem, Leva, which focuses on LLM evaluations in Ruby. Kieran discusses his background, his passion for AI and Ruby, as well as his journey in building AI products, including his tool Cora, which helps manage email inboxes by categorizing and summarizing emails using AI. Together, Valentino and Kieran explore the process, challenges, and best practices of creating AI-driven gems and tools in Ruby, the importance of evaluations, and the fun and creative aspects of integrating AI into Ruby on Rails projects. 00:00 Introduction and Guest Welcome 00:53 Kieran's Background and AI Journey 01:20 Building AI Tools and the Leva Gem 03:47 Challenges and Best Practices in AI Development 07:16 Evaluations and Real-World Applications 07:36 Community Recognition and Adoption 12:37 Prompt Engineering and Model Testing 22:06 Leveraging AI for Workflow Optimization 28:35 Visualizing Workflows and Tools 31:44 Exploring Hybrid Orchestration Layers 33:15 Debating Deterministic Workflows vs. Agent Flows 34:28 The Fun of Experimenting with AI and Ruby 34:55 Building Gems and Learning Through Creation 40:03 The Value of Rails in AI Development 46:28 Evaluating AI Outputs and Metrics 50:40 Annotation and Continuous Improvement 53:50 Future of AI and Rails Integration 54:54 Closing Thoughts and Recommendations…

1
Roasting Ruby AI Workflows with Obie Fernandez 1:16:55

לפני 20 ימים1:16:55

1:16:55

Ruby legend Obie Fernandez joins hosts Valentino Stoll and Joe Leo to unveil Roast—the new open-source Ruby framework for declaring reliable AI workflows—and celebrate the 1.0 release of its engine library, Raix. The trio dig into agent swarms, prompt-engineering best practices, code-base refactors, and why unleashing creativity matters more than ever in an AI-driven future." Show Notes Obie’s book — https://leanpub.com/patterns-of-application-development-using-ai Roast (GitHub) — https://github.com/Shopify/roast Roast (intro post) — https://shopify.engineering/introducing-roast Raix (core library) — https://github.com/OlympiaAI/raix Raix for Rails — https://github.com/OlympiaAI/raix-rails Claude Swarm (multi-agent YAML swarms) — https://github.com/parruda/claude-swarm Claude Squad https://github.com/smtg-ai/claude-squad Claude Code (agentic coding tool) — https://www.anthropic.com/claude-code Claude Opus (model family) — https://www.anthropic.com/claude “Software 3.0” (Karpathy talk) — https://www.youtube.com/watch?v=LCEmiRjPEtQ Suno (AI music) — https://suno.com/ Olympia (AI team platform) — https://olympia.chat/ “The Bitter Lesson” (R. Sutton) — https://www.incompleteideas.net/IncIdeas/BitterLesson.html POODR (Sandi Metz) — https://www.poodr.com/ Refactoring (Martin Fowler) — https://martinfowler.com/books/refactoring.html Clean Code (R.C. Martin) — https://www.informit.com/store/clean-code-a-handbook-of-agile-software-craftsmanship-9780135398579 Hosts & Guest on Social @thecodenamev @jleo3 @obie…

1
Active Agent with Justin Bowen 1:22:25

לפני 8 weeks1:22:25

1:22:25

Seventeen-year Ruby veteran Justin Bowen joins hosts Valentino Stoll and Joe Leo to unveil Active Agent —a Rails-native framework that treats every agent like a controller and every prompt like a view, letting you weave LLMs, vector search, and business logic straight into MVC. The crew also digs into the real-world mechanics of shipping AI: defining ground-truth datasets, replay-ready evaluation harnesses, and tight retry logic that keeps hallucinations out of production. You’ll hear a candid take on the current hype cycle (and its parallels to crypto), the challenges of long-term gem maintenance, and fresh ways to keep open-source sustainable—think GitHub Sponsors, corporate grants, and pro-tier gems. What you’ll hear Active Agent 101 – agents as abstract controllers, templated prompts as views Testing in the wild – fingerprints, VCR cassettes & CI pipelines for non-deterministic code Context is king – why ground truth matters when counting cows or parsing legal docs OSS meets ROI – balancing passion projects with sustainable monetisation Rails vs. Python/Next.js – reclaiming the one-person startup stack Community fuel – Discords, hackathons, and the push for academic & corporate sponsorship Mentioned In The Show : Active Agent (GitHub) – Justin’s Rails-native, agent-oriented framework for building AI features. Vercel AI SDK – TypeScript toolkit whose generative-UI ideas helped inspire Active Agent. Maestra.ai – YC W24 startup offering AI transcription, dubbing, and hosted agent runtimes. Matz's 2025 Ruby Kaigi AI Keynote ONNX Runtime Ruby – Gem that runs ONNX models (CPU/GPU) from Ruby. PGVector gem – Ruby bindings for PostgreSQL’s pgvector extension (embeddings storage). Neighbor gem – k-NN / ANN vector search for Rails & Postgres—pairs nicely with PGVector. Hugging Face JS – Run models in the browser with WebGPU and ONNX Hugging Face Spaces – No-config platform for hosting ML demos; handy for sharing agent prototypes. LangSmith (LangChain) – Evaluation & observability service discussed as a monetization model. CrewAI (GitHub) – Python framework for orchestrating multi-agent “crews”; Joe’s current go-to. Honeybadger – Rails-first error-monitoring SaaS—an inspiration for future Active Agent services. Rising Impact – A Netflix anime special about a third-grader's journey to be the world's best golfer. Osmo AI – Google-born startup using AI to digitise smell—cited in the show’s “AI hype” chat. Ruby AI Builders Discord – Public Discord community for Rubyists building AI apps.…

1
Sublayer and Artificial Ruby with Scott Werner 1:11:06

לפני 12 weeks1:11:06

1:11:06

Scott Werner—author of the Works on My Machine newsletter and creator of the Sublayer AI-agent framework—joins Valentino and Joe for a fast-moving conversation on how Rubyists are bending large-language models to their will. We unpack Sublayer’s “generators + actions” architecture, the delightfully chaotic Monkey’s Paw prompt-driven web framework, and Phoenix’s AI-generated test suites, all while debating what remains uniquely human in an age of code that writes itself. If you care about Ruby, rapid prototyping, and staying sane as models ship weekly, this one’s for you. Show Notes Meet Scott Werner – from early Rails days to Works on My Machine and the Artificial Ruby meetup scene. Inside Sublayer – why “string-in → string-out” thinking led to Generators, Actions, and the idea of promptable architecture for code that assembles itself. Monkey’s Paw – a Ruby gem where Markdown “wishes” become full web pages via an LLM—hallucinations welcome. Blueprints & Semantic Linting – templated agent blueprints now built into Sublayer and text-based rules that keep AI code reviews on-message. Phoenix.love – Joe’s Rails-centric tool that churns out thousands of AI-generated tests and the ops pain (alerts, idle “vibe-waiting”) that follows. Feedback Loops & Human Taste – why Paul McCartney’s Get Back jam session is the right metaphor for iterating with an LLM collaborator. When the Model Eats Your Product – surviving weekly model upgrades, function-calling APIs, and the temptation to rebuild everything (again). Ruby’s Next Act – AI-inspired namespacing proposals, Ractors explained, and why dynamic languages still win the “unknown unknowns.” Show-and-Tell Picks Scott: TLDraw for visual AI pipelines. Valentino: “AI Software Architect” markdown blue-prints. Joe: “Demystifying Ruby” blog series on threads, fibers & ractors. Referenced URLs Sublayer – https://sublayer.com Sublayer (GitHub) – https://github.com/sublayerapp/sublayer Monkey’s Paw (GitHub) – https://github.com/sublayerapp/monkeyspaw Phoenix – https://phoenix.love Works on My Machine newsletter – https://worksonmymachine.substack.com TLDraw – https://tldraw.com --- 00:00 Introduction to Ruby and AI 02:04 Scott's Journey with Ruby and AI 04:41 The Evolution of Programming Languages 06:38 The Ruby Community's Impact on Software Engineering 08:43 Monkey's Paw: A New Approach to Web Development 10:35 AI's Role in Creative Processes 11:30 Collaboration with AI in Software Development 14:50 The Future of Software Development 17:24 The Impact of AI on Customer Feedback 20:24 Navigating the Rapid Changes in Software Products 22:51 Understanding User Feedback in AI Development 24:53 The Human Element in AI Collaboration 28:20 Prototyping with AI Tools 30:18 The Evolving Roles in Teams 31:43 Sublayer Tech: Innovations and Frameworks 34:36 Blueprints and Code Generation 37:14 Navigating Existential Dread in AI Development 40:15 The Future of AI and Product Development 44:12 Community and Collaboration in Tech 47:08 Monitoring AI Processes 50:19 The Importance of Orchestration 52:03 Final Thoughts and Recommendations…

1
Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point 53:05

לפני 14 weeks53:05

53:05

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…

1
Trailer: The Ruby AI Podcast 15:05

לפני 31 weeks15:05

15:05

In this episode of the Ruby AI podcast, hosts Landon and Valentino discuss the exciting developments in the Ruby AI community. They explore three key gems: Ruby OpenAI, Raix, and Langchain.rb, highlighting their features, use cases, and the importance of evaluation methodologies like RAGAS in AI systems. The conversation emphasizes the collaborative spirit of the Ruby AI community and the potential for innovation in AI applications using Ruby. Takeaways The Ruby AI community is vibrant and growing. Ruby OpenAI is essential for integrating OpenAI's capabilities. Raix gem offers an object-oriented approach to AI in Ruby. Langchain RB normalizes AI provider integrations in Ruby. RAGAS provides a framework for evaluating AI outputs. Community engagement is crucial for Ruby AI's growth. Documentation is key for developers using these gems. Collaboration among developers enhances innovation. AI systems require robust evaluation methodologies . Ruby is at the forefront of AI development. Sound Bites "This is gonna be really exciting." "Join the Ruby AI Builders Discord." "There's so much cool stuff out there."…

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פודקאסטים ששווה להאזין

1
The Right Way to Dodge Scams, Plus Learn How Robo-Investing Works 29:56

The Ruby AI Podcast « »
Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

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כל הפרקים

1
Evaluating LLMs with Leva 1:00:00

1
Roasting Ruby AI Workflows with Obie Fernandez 1:16:55

1
Active Agent with Justin Bowen 1:22:25

1
Sublayer and Artificial Ruby with Scott Werner 1:11:06

1
Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point 53:05

1
Trailer: The Ruby AI Podcast 15:05

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The Ruby AI Podcast « » Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

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The Ruby AI Podcast « »
Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point