Issue No. 37Week ending Sunday, September 13, 2026434 episodes · 1825 articles
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The Podcast Summary.

40 hours of podcasts, in 5 minutes.

Guest

Fiona Fung

Fiona Fung appears in 1 full episode we cover on Lenny's Podcast. Below is what each conversation covered, with a key takeaway per article. Every quote in the articles is verbatim and timestamped to the source video.

1 episodecovered
5 articleswith timestamped quotes
AILenny's Podcast

Building the most AI-pilled engineering team in the world | Fiona Fung (Anthropic)

Fiona Fung, leader of Claude Code and Co-work teams at Anthropic, discusses the profound transformation of software engineering due to AI. She shares insights on managing high-velocity engineering teams, fostering a builder mindset, maintaining quality, and the shift towards asynchronous work and increased agency for engineers. Fiona also touches on the importance of dogfooding, the challenges of preventing a growing divide between AI-native and non-AI-native professionals, and the evolving role of managers in an AI-first world.

  • AI tools like Claude now automate daily manager routines, transforming oversight from manual tracking to an agent-assisted process for generating feedback and even pull requests. Read →
  • Anthropic engineers increased their code output by an astounding 8x between 2021 and 2025, largely due to AI tools. Read →
  • Find new products by watching how users hack your tools. Anthropic doesn't just ask users what they want; they watch what users do. Fiona Fung calls this "latent demand." For example, seeing non-coders try to use Claude Code led them to build Claude for Small Business. Read →
  • AI-driven productivity can lead to engineer isolation. Fiona Fung, who leads Claude Code at Anthropic, observed that her team started feeling lonely due to extensive solo work with agents, prompting new social initiatives. Read →
  • Anthropic's Fiona Fung shares her framework to conquer AI fear and frustration. Learn to identify control and take action to avoid falling behind in the AI-native world. Read →
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