Fiona Fung

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804 appearances 1 recordings 1 series first heard Jun 2026 last heard 21 Jun

Fiona Fung’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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Lenny's Podcast: Product | Career | Growth · What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams) · 21 Jun 2026 podcast

Cloud is very good when you give it a framework to validate against those frameworks.

So I had mentioned like, you know, or like, you know, like recently we just updated like content design to have a skill in it.

Like my, like I, and this is why like, I think if you have specs or like, or like, like check those into the repo and then make sure the spec also keeps up to date with the code like frequently.

But that's what I found like works really well of any time you have like a statement of what good looks like.

get that into the repo and then Code Review can make sure it's still matching what you set up to do.

Yes.

For TDD, it's because I remember that was like a big thing, my gosh, maybe like in the 2000s of write the test first and then you can like make sure the test fails.

Then you do actually the code in principle is really good.

But I think I know I remembered I myself struggling a bit because it was almost like you have to eat the broccoli first because I was like,

oh, you have to write this test first.

And I just get so much thrill out of shipping and building product.

So it's funny.

Actually, the first bug I fixed on Cloud Code, I remember asking Cloud, hey, I want to do test-driven development.

Help me write the test first.

Make sure it fails.

And then we'll actually do the fix.

And then now the test passed.

And

The fact that that used to be, you know, like that test generation used to just be this tax that I remember having to pay.

Like the fact that that's not 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.

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