Mapping the world (Practical AI #131)

This week I'm talking with Matt Carey about Code Mode and how most of us have been thinking about MCP all wrong. Matt works on the Agents SDK and MCP at Cloudflare — we discuss how server-side Code Mode lets one MCP server expose all ~2,500 Cloudflare API endpoints in about 1,000 ...  Show more

This week I'm talking with Adam Jacob, founder of System Initiative and creator of Swamp, about what happens when AI agents change the entire shape of software development. We discuss how he went from an 18-person team down to five and shipped Swamp 900 times in four weeks, why h ...  Show more

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us ...  Show more

Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influenc ...  Show more

Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for inte ...  Show more

We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimiz ...  Show more