A podcast about the craft of software development focusing on AI and the future of software development.
Podcast Overview
A podcast about the craft of software development focusing on AI and the future of software development.
Language
🇺🇲
Publishing Since
10/31/2025
1 verified contact email on file for Rubber Duck Radio
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Recent Episodes
June 19, 2026
Fable 5 Banned: The Multi-Model Escape Plan
Anthropic launched Claude Fable 5 with huge expectations, only to see the US government order it pulled globally three days later. Tim and Paul dig into the swirling conspiracy theories: was it retaliation for refusing to arm the Pentagon? Did a competitor exploit a jailbreak report to kneecap a rival? And did Anthropic’s own transparency accidentally hand over the rope? Then the conversation pivots to token anxiety, ballooning API costs, and the open-source models like GLM 5.2 and DeepSeek V4 Pro that now rival proprietary giants at a fraction of the price. The episode’s core insight: a three-stage workflow—planning with a flagship model, implementing with a cheap or local one, and reviewing with a third—lets developers escape single-point-of-failure risks and spiraling bills, and it's already taking shape across the coding community.
June 12, 2026
AI Didn't Invent These Problems
Tim and Paul break down Anthropic's Fable 5 pricing disconnect, the dav1d assembly decoder that outraced higher-level implementations, and why Agile's 2001 playbook stumbles when agents build apps in hours. They critique the hype around autonomous agent loops, highlighting the real constraints—budgets, tests, and decision quality—that determine whether AI accelerates value or just incinerates tokens. It's a tight hour on the shifting boundaries of craft, process, and the problems AI reveals but can't solve on its own.
June 5, 2026
Why 95% of AI Pilots Fail (And How to Fix It)
Tim kicks things off with an AWS agent nightmare that couldn't tell dev from prod, sparking a deep dive into where deterministic pipelines end and true LLM reasoning begins. Using a clever flight-tracking case study, the hosts map out when to use frontier models, local open-weight models, or no AI at all—then connect it all to an MIT study showing 95% of generative AI pilots fail to deliver profit, often because companies treat the API bill itself as a success metric. If you're wrestling with agentic vs. scripted workflows, bloated AI spend, or just an editor that can't keep up, this conversation offers a clearer lens for building with intention.
18 total episodes available
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Frequently asked questions
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- What is Rubber Duck Radio?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
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