Sep 13, 2026

Essential Skills for Becoming an AI Engineer: RAG, AI Agents, & More

Cedric Clyburn outlines the essential skills for AI engineering, distinguishing it from ML research. He details a three-tier skill stack covering foundational programming (Python, Git, APIs), AI-specific techniques (embeddings, RAG, AI agents), and deployment strategies (containerization, observability). The discussion emphasizes judgment over code generation and highlights key use cases like RAG systems and agent-based solutions.

Aug 27, 2026

How Anthropic Builds: Lessons from Labs — Mike Krieger, Anthropic

Mike Krieger, a former CPO at Anthropic, details his transition to an IC role to build directly with AI, advocating for "unreasonable" asks like porting entire codebases. He shares lessons from Instagram on scaling and highlights Anthropic's internal use of Claude as a proactive teammate, flexible lab structure, and critical insights on AI product design, vertical applications, and mental health in the fast-paced AI industry.

Aug 11, 2026

The Past, Present & Future of Programming Languages • Kevlin Henney • YOW! 2025

Kevlin Henney explores the slow but profound evolution of programming languages, revealing how many 'new' features are decades-old concepts. He analyzes language popularity rankings, highlighting the dominance of 20th-century languages and the impact of the "von Neumann bottleneck." The talk delves into historical innovations from Fortran to Algol, coroutines to functional programming, and concludes by examining how Large Language Models (LLMs) are becoming clients of existing languages, further entrenching the mainstream rather than causing radical change, often due to their training data favoring established codebases.

Mar 14, 2026

⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic

Sam Khavari, the creator of Pydantic, introduces Monty, a new, secure, and high-performance Python interpreter written in Rust. Monty is designed specifically for AI agents, bridging the gap between simple, limited tool-calling and complex, slow, full-featured sandboxes.

Feb 20, 2026

Migrating from Neptune to Weights & Biases

A technical guide on migrating ML experiments from Neptune to Weights & Biases, covering the migration script, API-level code changes, and best practices for organizing projects and analyzing results in the W&B platform before the Neptune sunset.

Feb 13, 2026

Clean Architecture with Python • Sam Keen & Max Kirchoff

Sam Keen, author of 'Clean Architecture with Python', discusses with Max Kirchoff how to pragmatically apply architectural principles to Python. They explore the critical link between architecture and testability, thoughtful dependency management through layered design, and how these principles enhance modern AI-assisted coding workflows by providing clear structure and scope.