Shreya Shankar and Hamel Husain have taught evals to over 4,500 people and keep seeing the same mistakes. This Interrupt 26 talk walks through five common pitfalls — generic metrics, blind LLM judges, bad experimental design, wrong labelers, and over-automation — and shows how thinking like a data scientist fixes them.
Mario Zechner, creator of Pi, joins Jan-Niklas Wortmann for a grumpy, honest 77-minute conversation about where AI coding actually stands — why spec-driven dev is hyper-waterfall, how his 'absolute caveman' workflow actually ships, running serious AI on 14 GB locally, the clanker PR flood (50-60/day), and why 500K lines of agent code just delays the punishment.
Tim O'Reilly warns that AI companies are following the same value extraction arc as Big Tech — and that superintelligence hype resembles religious prophecy more than viable business strategy. A sharp critique of shareholder primacy, enshittification, and the need for an architecture of participation in the AI economy.
While Claude Code excels at generating code, building maintainable enterprise systems requires structured foundations. This article recommends 6 proven open-source tools that pair well with Claude Code: NocoBase (business systems), Directus (data APIs), Metabase (BI/analytics), n8n (automation), Outline (knowledge bases), and Keycloak (identity/auth).
Boris Cherny — creator and Head of Claude Code at Anthropic — sits down with Gergely Orosz for a 98-minute deep conversation covering Claude Code's origin story, the terminal-first design philosophy, how it handles 100K-file codebases, and where AI-assisted development is heading.
Mitchell Hashimoto — creator of Vagrant, Terraform, and co-founder of HashiCorp — shares his radically new approach to writing code with AI agents, covering his workflow philosophy, prompt engineering patterns, and how he achieves 10x productivity gains.
Martin Fowler and Gergely Orosz explore the biggest paradigm shift since assembly language — how AI transforms software engineering from a deterministic craft to a non-deterministic one, and what that means for testing, architecture, and the future of the profession.