← Fiona Fung

What podcasts say about Fiona Fung

Every statement, with the speaker, the exact quote and the moment it was said.

What Fiona Fung has said on podcasts

31 statements · 23 positive · 2 negative · 6 neutral

  1. AI-assisted coding is no longer the main engineering bottleneck.

    “Coding is no longer the bottleneck.”

    Listen at 0:05

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  2. Extensive agent-based work could make software engineering lonely.

    “It could start being a lonely experience because we all started just working with our agents so much”

    Listen at 0:36

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  3. People worried about AI should engage with it and focus on controllable actions.

    “My advice is lean in and ask what can I do about it? What is within my control?”

    Listen at 0:58

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  4. Higher AI-generated coding throughput shifts engineering attention toward verification.

    “How do we think about verification? Like that's kind of this other shift that I'm seeing.”

    Listen at 9:23

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  5. A Claude Code remote session can give managers visibility across repository work.

    “I actually have a cloud code remote session that I enlist in all of our repos. And so this way I have full visibility into the work that everybody's doing.”

    Listen at 10:13

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  6. Claude enables engineering managers to derive insights that were previously impractical.

    “I don't think I would have been able to, you know, have some of these insights with Claude.”

    Listen at 12:07

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  7. Claude routines can automate managers’ feedback-monitoring workflows.

    “now I just have a routine that automates all this for me.”

    Listen at 13:11

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  8. Human experts should continue reviewing code in areas requiring deep subject expertise.

    “for the important like, like areas that need deep subject matter expertise, we definitely want to make sure we have the proper, you know, like humans. Still reviewing.”

    Listen at 15:05

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  9. Claude effectively validates code against explicitly provided quality frameworks.

    “Claude is very good when you give it a framework to validate against those frameworks.”

    Listen at 15:20

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  10. Teams should store and regularly update product specifications in repositories.

    “if you have specs or check those into the repo and then make sure the spec also keeps up to date with the code frequently”

    Listen at 15:33

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  11. AI automation can make established engineering practices such as TDD more efficient.

    “the fact that that's now automated and you can even revisit all these principles that have been around for a while, but now they actually might be even more efficient just because you have the models that can do more of the work for you.”

    Listen at 16:39

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  12. Claude enables engineers to work beyond their traditional technical specialties.

    “It's lifted the ceiling of what anyone is able to do.”

    Listen at 19:34

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  13. A growth mindset helps workers adapt to AI-driven change.

    “A growth mindset really, really helps.”

    Listen at 20:05

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  14. Cowork can locate specific documents within a disorganized directory.

    “we gave Cowork access to the directory, found the menus.”

    Listen at 29:22

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  15. Cowork can provide local market analysis for a restaurant’s pricing decisions.

    “it came back with really cool, almost like market analysis.”

    Listen at 29:36

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  16. Product teams should continuously use feedback to improve reliability and user experience.

    “always listening to feedback and always iterating, trying to make a delightful, reliable, high quality experience”

    Listen at 34:08

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  17. AI-assisted engineering teams are shifting toward asynchronous work.

    “we're shifting more towards async, like asynchronous.”

    Listen at 35:36

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  18. High-agency teams require correspondingly high accountability.

    “with high agency, it's also high accountability.”

    Listen at 39:05

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  19. Engineering productivity should be evaluated by outcome contribution rather than output volume.

    “Is the output really going towards the outcome?”

    Listen at 41:11

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  20. Teams should regularly reassess whether their metrics still reflect intended outcomes.

    “Always keep in mind, is that metric really still serving the outcome that you were aiming for?”

    Listen at 42:43

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  21. Earlier quality detection is a key priority for AI-assisted product teams.

    “the more proactive we can be of like making sure we can get an earlier detection into quality”

    Listen at 45:12

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  22. Pairwise programming helps engineers learn different AI-assisted workflows from one another.

    “when we do pairwise programming, we actually learn so much from each other.”

    Listen at 56:57

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  23. Engineers should develop stronger product judgment as AI expands their responsibilities.

    “having engineers build and keep building that stronger product sense muscle”

    Listen at 1:02:39

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  24. Leaders who use their products directly maintain closer awareness of product quality.

    “being able that helps me keep really close to the pulse”

    Listen at 1:04:23

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  25. Verifying that AI-built experiences match intended designs remains difficult.

    “that one is still a hard one to crack”

    Listen at 1:10:50

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  26. Future software engineers may need fellowship or apprenticeship-style training.

    “I wonder if it's for software engineering. It's almost like you go more towards a fellowship or apprenticeship program.”

    Listen at 1:13:55

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  27. Understanding underlying systems may reveal opportunities to improve products despite AI abstraction.

    “I do think there's something about that double click because I think that's where there might be an opportunity to improve the product or the system.”

    Listen at 1:14:47

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  28. Teams should revisit previously failed AI automations as models improve.

    “it might be worth the time to revisit, because, you know, that now might be a new capability.”

    Listen at 1:17:44

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  29. Teams should explicitly authorize eliminating processes that no longer provide value.

    “explicit permission to kill processes that no longer serve us”

    Listen at 1:23:15

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)
  30. Anthropic’s team uses lightweight just-in-time monthly planning.

    “we've shrunk it to jit monthly planning.”

    Listen at 1:25:14

    Open the episode · Building the most AI-pilled engineering team in the world | Fiona Fung (Manager of the Claude Code and Cowork Teams)

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

Fiona Fung: what podcasts say · PodLume