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

Lenny's PodcastJune 21, 20261h 38m
Topics73
AI Impact on Engineering Productivity at Anthropic0:00Loneliness and the Gap Between AI Adopters and Resistors0:30Guest Background: Fiona Fung1:01Career Path and Early Shifts in Engineering Tools2:30Evolution of Software Shipping and Deadlines8:01What an AI-Pilled Software Team Looks Like9:31Management Technique Using Claude for Visibility and Impact11:00Daily Rituals and Routines for Feedback Management12:30Automating Code Review and Quality Frameworks14:30Test-Driven Development Enabled by AI16:01Hiring Profiles for AI-Era Engineering Teams17:01Ambition and the Lifted Ceiling18:01Growth Mindset and Handling Fear of AI Change19:31Fiona Fung's Early Career Journey22:02Growth Mindset and Taking Action25:00The AI Adoption Gap and Helping Small Businesses26:02Spreading AI Knowledge30:00Anthropic's Approach to Opportunity Discovery32:01Asynchronous Work and Routines35:00Agency and Accountability38:01Measuring Productivity and ROI39:31Avoiding Metric Fixation43:41Using PR Monitoring for Engineering Conversations44:00Balancing Speed, Quality, and Impact44:32Bad vs. Sad Framework45:01Team Agency Over Quality Definitions46:31Investing in Tests and Monitoring47:30Swear Word Dashboard47:30Manager as Player-Coach Model49:31Benefits of the Player-Coach Approach51:00Dogfooding as a Leadership Practice52:31Transitioning from Large Organizations to IC Work53:00Claude as an Onboarding Tool54:01Risk of Skill Atrophy55:32Addressing Loneliness Through Pairwise Programming56:31Workflow Optimization58:00Loss of Traditional Engineering Flow58:31Most Transformed Roles Beyond Engineering1:00:01New Baseline Expectations for Engineering Managers1:02:00Blurring of Traditional Roles1:03:00Why Dogfooding Matters1:04:01Balancing Anecdotes and Data in Product Decisions1:05:48Dogfooding as a Leadership Practice1:06:01Engineers Becoming Product-Minded1:07:02Learning from Customer Visits1:07:30Trusting Anecdotes Over Data1:08:31Open Organizational Questions1:09:01Mobile Expertise and Organizational Structure1:09:30Automated Reviews and Quality Standards1:10:01The Verification Challenge1:11:01Context Switching Load from Async Work1:11:31Flow States and Agent-Assisted Work1:12:01Blocking Focus Time for Async Catch-Up1:12:30The Future of Engineering Roles1:13:01Training the Next Generation of Engineers1:13:31Foundational Knowledge and Abstraction Layers1:14:31Career Evolution Across Computing Eras1:15:02Prompts as a New Abstraction Layer1:16:00Evaluating Output Quality1:16:30Exponential Model Improvement Rates1:17:01Maintaining Team Culture During Rapid Growth1:18:01Maintaining Culture at Scale1:20:30Creating Psychological Safety for Honest Reporting1:21:31Explicit Permission to Kill Outdated Processes1:23:01Just-in-Time Planning Approach1:24:01Recommended Fiction Authors1:27:01The Little Prince Book Recommendation1:27:54Favorite Movies1:28:30Favorite Product: Sweet Sisters Bodycare1:30:30Code with Claude Events1:32:30Life Mottos1:32:55Knitting Habit1:35:00Closing Remarks and How to Connect1:37:00
In a Nutshell

Fiona Fung describes how Anthropic's engineering teams now ship 8x more code because AI has removed coding as the bottleneck, shifting focus to ambition, verification, and quality. The most effective engineers demonstrate high agency paired with high accountability, while non-engineers like PMs and designers now write production code directly. Teams combat isolation and skill gaps through deliberate rituals like pairwise programming lunches, automated feedback routines, and maintaining "trust but verify" practices even as agents handle most implementation work.

AI-Generated Notes

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Anthropic engineers on average ship eight times as much code per quarter as they did compared to 2021 to 2025. Coding is no longer the bottleneck. It has lifted the ceiling of what anyone is able to do. Everything is now possible in theory. Now it is about how ambitious you can be. The people that seem to be doing best are taking the most initiative, getting the most proactive, and have the most agency. High agency comes with high accountability. The focus is on ensuring folks have the freedom to code while also maintaining accountability for outcomes and the hypothesis of what they are trying to solve.

Working extensively with AI agents can start being a lonely experience. On the Claude Code team, pairwise programming lunch was recently started. A gap is forming between people that are leaning into AI and excelling versus people that are not, who are super frustrated, fighting, and resisting. In terms of frustration, there is sometimes a little bit of fear. The advice for fear is to lean in and ask, "What can I do about it? What is within my control?"

Fiona Fung leads the teams behind Claude Code and Co-work at Anthropic. She oversees Boris Cherney and Kat Wu. Before Anthropic, at Microsoft she ran the teams that built TypeScript and Visual Studio. At Facebook she started the Facebook Marketplace team, which she took from idea to launch. Facebook Marketplace now generates over 100 billion dollars in GMV every year. While at Meta she oversaw work on Meta's first smart glasses product and helped build Orion, their first AR glasses product. At Instagram she led infrastructure, growth, integrity, and safety teams and oversaw an org of over 500 people. Fiona has been an engineer for over 25 years.

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