Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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EP 300 Daniel Rodriguez on AI-Assisted Software Development
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Manage episode 484269306 series 2536631
Content provided by The Jim Rutt Show. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Jim Rutt Show or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Jim talks with Daniel Rodriguez about the state of AI software development and its implementation in industry. They discuss Daniel's background at Microsoft & Anaconda, transformer-based technologies, software engineering as hard vs soft science, vibe coding, barriers to entry in software engineering, cognitive styles needed for programming, Daniel's history with LLMs, unit testing & test-driven development with AI, social aspects of AI adoption, quality concerns & technical debt, style consistency & aesthetics, approaches to steering LLMs through roles & personas, philosophical perspectives on LLM consciousness & intelligence, personification & interaction styles, memory & conversation history in models, agent-based systems & their historical origins, the future of agent frameworks, customer/user interaction within agent ecosystems, distributed systems, future predictions about inference costs & protocols, IDEs & linting tools, and much more. Episode Transcript JRS EP 289 - Adam Levine on AI-Powered Programming for Non-Developers Daniel Rodriguez is Chief Architect and acting Technical Lead at r.Potential, the first enterprise platform for optimizing hybrid teams of humans and digital workers. As the venture’s overall technical architect, he designs and integrates a full stack of AI systems, combining Agentforce with advanced data, simulation, and orchestration technologies to bring that vision to life. Before r.Potential, Daniel bootstrapped and scaled retrieval-augmented AI services and agentic infrastructure at Anaconda. Earlier, at Microsoft, he maintained Azure TypeScript SDKs and co-created Visual Studio Code’s Jupyter and Data Wrangler extensions, expanding cloud and data-science workflows.
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415 episodes
MP3•Episode home
Manage episode 484269306 series 2536631
Content provided by The Jim Rutt Show. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Jim Rutt Show or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Jim talks with Daniel Rodriguez about the state of AI software development and its implementation in industry. They discuss Daniel's background at Microsoft & Anaconda, transformer-based technologies, software engineering as hard vs soft science, vibe coding, barriers to entry in software engineering, cognitive styles needed for programming, Daniel's history with LLMs, unit testing & test-driven development with AI, social aspects of AI adoption, quality concerns & technical debt, style consistency & aesthetics, approaches to steering LLMs through roles & personas, philosophical perspectives on LLM consciousness & intelligence, personification & interaction styles, memory & conversation history in models, agent-based systems & their historical origins, the future of agent frameworks, customer/user interaction within agent ecosystems, distributed systems, future predictions about inference costs & protocols, IDEs & linting tools, and much more. Episode Transcript JRS EP 289 - Adam Levine on AI-Powered Programming for Non-Developers Daniel Rodriguez is Chief Architect and acting Technical Lead at r.Potential, the first enterprise platform for optimizing hybrid teams of humans and digital workers. As the venture’s overall technical architect, he designs and integrates a full stack of AI systems, combining Agentforce with advanced data, simulation, and orchestration technologies to bring that vision to life. Before r.Potential, Daniel bootstrapped and scaled retrieval-augmented AI services and agentic infrastructure at Anaconda. Earlier, at Microsoft, he maintained Azure TypeScript SDKs and co-created Visual Studio Code’s Jupyter and Data Wrangler extensions, expanding cloud and data-science workflows.
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415 episodes
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