Best Chain of Thought Episodes for Engineers
Shipping with AI: the craft, the workflow, and where it falls short.
Start with Anush Elangovan’s coding workflow, then explore how to structure an agent, get it into production and evaluate its behavior. Charity Majors closes the collection with a discussion of reliability and the engineering problems that persist when teams adopt AI.
- 5 episodes
- 5 guests
- 4 hours of listening
- 3 jump-to moments
- 1
250,000 Lines of Code/Week: Inside an AMD VP's Agent-First Workflow | Anush Elangovan Anush Elangovan, AMD Anush Elangovan on running an agent-first coding workflow at scale, with AI writing most of the code. Jump to the moment · 18:39 · Testing as code review → - 2
Architecting AI Agents: The Shift from Models to Systems | Aishwarya Srinivasan Aishwarya Srinivasan, Fireworks AI Aishwarya Srinivasan on how to structure an agent, and the shift from picking a model to architecting a system. Jump to the moment · 7:53 · From prompt to system → - 3
Vercel's Playbook for AI Agents: From Vibe Check to Production | Malte Ubl Malte Ubl, Vercel Vercel’s Malte Ubl on the engineering that takes an agent from a vibe check to a shipped feature. - 4
Mindset Over Metrics: How to Approach AI Engineering | Hamel Husain Hamel Husain, Parlance Labs Hamel Husain on the mindset that separates engineers who ship reliable AI from those who chase metrics. - 5
AI Won't Solve Your Toughest Engineering Problems | Honeycomb’s Charity Majors Charity Majors, Honeycomb Charity Majors on production reliability and what AI does and doesn’t fix about your hardest engineering problems. Jump to the moment · 6:56 · Engineering solves problems →
- Best Chain of Thought Episodes for AI Founders Building an AI company: defensibility, GTM, and where the market stands.
- Best Chain of Thought Episodes on AI Agents How agents work: architecture, memory, context, frameworks.
- Best Chain of Thought Episodes on AI Evaluation Measuring whether AI works: evals, reliability, trust.
- Best Chain of Thought Episodes on Agent Memory How agents remember: memory stores, context engineering, and what breaks without them.
- Best Chain of Thought Episodes on Multi-Agent Systems Many agents, one system: orchestration patterns, protocols, and the overhead they add.
- Best Chain of Thought Episodes on Open Source AI Open weights, open ecosystems, and what they cost in production.
- Best Chain of Thought Episodes on AI Coding Agents What changes downstream when agents write most of the code.
- Best Chain of Thought Episodes for Enterprise AI Leaders Getting AI past the pilot: ROI, rollout, and the data underneath it.
- Best Chain of Thought Episodes on AI Security Attacking agents, defending them, and the part software cannot cover.
- Best Chain of Thought Episodes on RAG & Retrieval Getting the right context to the model: chunking, vectors, graphs, and what breaks at scale.
- Best Chain of Thought Episodes on AI Infrastructure & Hardware What AI runs on: power, GPUs, networks, kernels and small models.
- Best Chain of Thought Episodes on Building AI Products Deciding what to build, setting a quality bar and shipping fast.