The Pragmatic Engineer

Armin Ronacher, Flask creator and open source developer, joins Mario Zechner, Austrian engineer and creator of Pi. They get into why Pi was built, why self-modifying software is so compelling, and where AI coding agents break down. Expect talk on over-automation, reviewing agent-written code, non-engineers shipping code, open source under AI pressure, and why simpler CLI workflows can beat heavier setups.

Martin Kleppmann, distributed systems researcher and author of Designing Data-Intensive Applications, talks through his path from startups to academia. He gets into cloud tradeoffs, why managed services still need intuition, and what changed in the book’s new edition. It also touches on local-first software, formal verification, ethics in engineering, and cryptography for supply-chain transparency.

David Heinemeier Hansson, creator of Ruby on Rails and CTO of 37signals, talks about why he shifted from typing every line himself to an agent-first coding style. He gets into AI tools, parallel model workflows, and why senior engineers may gain the most. They also explore product taste, tiny teams, designers who code, and why beauty and software quality go together.

Thuan Pham, Uber’s first CTO and now CTO at Faire, shares how he helped turn a crash-prone app into a global platform. He gets into the frantic China launch in five months. He talks about the platform-program split, the messy path from monolith to microservices, and why Uber had to build so many internal tools. He also touches on Helix and how AI is reshaping engineering.

Jean Lee, former WhatsApp engineer #19 who later became a Meta engineering manager, shares how a tiny team scaled messaging to hundreds of millions. She talks about eight native clients, Erlang, and a culture of extreme simplicity. There’s also the inside story of the Facebook acquisition, the jump into management, performance review dynamics, and why lean teams still matter in the age of AI.

Steve Yegge, veteran engineer and former Amazon and Google developer, dives into AI’s reshaping of software work. He talks about why hand coding may fade. He maps levels of AI adoption, from avoiding tools to orchestrating parallel agents. They explore Gastown, monoliths blocking agentic workflows, prototype driven product building, and the new technical debt and productivity pressure AI may create.

Boris Cherny, creator and Head of Claude Code at Anthropic and author of Programming TypeScript, joins to talk about building agentic code tooling. He describes Claude Code’s evolution, parallel agents and deterministic review patterns. They explore retrieval from large codebases, sandboxing and safety layers, and how engineering roles shift as models write more code.

Mitchell Hashimoto, co-founder of HashiCorp and creator of Terraform and Ghostty, is an influential infrastructure engineer reshaping developer tools. He discusses multi-cloud design, turning open-source into a sustainable business, building Ghostty and terminals, and how AI agents and code contributions change workflows and hiring. The conversation focuses on tooling, scaling engineering practices, and AI’s effects on open source.

Andrey Breslav, creator of Kotlin and now building CodeSpeak to combine plain-English intent with code. He discusses why Kotlin prioritized Java interoperability and null safety, the tradeoffs in designing a pragmatic JVM language, and how new languages can leverage LLMs to reduce boilerplate while keeping humans in control.

Grady Booch, pioneering software engineer and co-creator of UML, reflects on computing’s long arc. He traces three golden ages of software and why each arose from technical and human limits. He discusses AI’s role in a new era, why engineers remain essential, and which higher-level skills will matter next.