The Ruby AI Podcast Real-World Ruby AI: Practical Systems That Work
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Oct 7, 2025 In this discussion, Amanda Bizzinotto, a machine learning and data science expert at Ombu Labs, shares her insights on AI's role in Rails projects. She outlines innovative AI tools for automating Rails upgrades and a Slack bot designed to streamline knowledge management. Amanda also tackles the challenges of integrating AI into consultancy and emphasizes the importance of observability in AI systems. Additionally, she dives into advanced prompting techniques and the benefits of multi-agent architectures, providing a glimpse into the future of AI in software development.
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Ruby Community Trust Was Shaken
- Joe, Valentino, and Amanda recount the RubyGems/Bundler controversy and its community fallout.
- They stress that removing long-time maintainers damaged trust and sparked broad concern.
From ML Background To Practical AI
- Amanda shares her path from data science and ML into practical AI work at Ombu Labs.
- She notes prior ML experience made exploring GPT-era tools a natural progression.
LLM Use Often Masks ML Complexity
- Amanda highlights a disconnect between ML fundamentals and typical developer LLM usage as API calls.
- She argues deeper model understanding helps optimize integrations and when to fine-tune.
