How the most AI-pilled product team builds products | Fiona Fung (Claude Code and Cowork)
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Top Comments (10)
Sorry to say, but this was a super surface-level and generic conversation. If you've got Anthropic's head Eng + PM for 90 mins and barely asked anything technical. How are they delivering features so far? How do they verify? What is their internal budget for AI use? What impact did Bun's acquisition have? What internal tooling will they never release publicly? How do they run tests on non-deterministic LLMs?
Ok. So many good things but my favorites that she is also a knitter. I'm a master knitter and crocheter and if I'm not running the meeting, I am knitting. The multitasking brain is real but it's also my finger for sure.
I was fortunate to attend Fiona's talk at the Code with Claude event in SF last month and it's interesting because the org I'm working at is slowly adopting those principles she stated. Super insightful talk and interesting to see what Anthropic and the other labs roll out. I like how she mentioned the other disciplines as well, I think much of the shift right now is software engineering but interesting to see how data science, product manager, engineering management changes.
I am concerned about cost. People can ship, but what if the company is not selling enough to cover the cost of the additional token cost. Most of us are not running in tech and working on borrowed money. You have to make sure that you justify the cost with generating revenue.
the bit about coordination bottlenecks totally lines up with what i've been seeing, it's not the code generation itself anymore it's making sure all the AI changes actually mesh across files and don't break existing stuff. ended up using zencoder for that since it runs agents in parallel with verification gates between the steps, way better than trying to manually review a dozen generated files one by one
1:25 Now that’s a smart woman! PS the lightning round gives some great orthogonal context. Cool to see what culture is valuable to these leaders.
Watching this while all Claude services are down except for government, I wonder how do they fix the issue if they use Claude to build when Claude is down?
Mind blowing.
another enjoyable perspective. trust but verify resonates a lot, very nice.
Really enjoyed this conversation; super-relatable and helps put more of a human face on the juggernaut that is Anthropic (and more specifically, Claude Code). Thanks for hosting her on the pod, Lenny.
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Top Comments (10)
Sorry to say, but this was a super surface-level and generic conversation. If you've got Anthropic's head Eng + PM for 90 mins and barely asked anything technical. How are they delivering features so far? How do they verify? What is their internal budget for AI use? What impact did Bun's acquisition have? What internal tooling will they never release publicly? How do they run tests on non-deterministic LLMs?
Ok. So many good things but my favorites that she is also a knitter. I'm a master knitter and crocheter and if I'm not running the meeting, I am knitting. The multitasking brain is real but it's also my finger for sure.
I was fortunate to attend Fiona's talk at the Code with Claude event in SF last month and it's interesting because the org I'm working at is slowly adopting those principles she stated. Super insightful talk and interesting to see what Anthropic and the other labs roll out. I like how she mentioned the other disciplines as well, I think much of the shift right now is software engineering but interesting to see how data science, product manager, engineering management changes.
I am concerned about cost. People can ship, but what if the company is not selling enough to cover the cost of the additional token cost. Most of us are not running in tech and working on borrowed money. You have to make sure that you justify the cost with generating revenue.
the bit about coordination bottlenecks totally lines up with what i've been seeing, it's not the code generation itself anymore it's making sure all the AI changes actually mesh across files and don't break existing stuff. ended up using zencoder for that since it runs agents in parallel with verification gates between the steps, way better than trying to manually review a dozen generated files one by one
1:25 Now that’s a smart woman! PS the lightning round gives some great orthogonal context. Cool to see what culture is valuable to these leaders.
Watching this while all Claude services are down except for government, I wonder how do they fix the issue if they use Claude to build when Claude is down?
Mind blowing.
another enjoyable perspective. trust but verify resonates a lot, very nice.
Really enjoyed this conversation; super-relatable and helps put more of a human face on the juggernaut that is Anthropic (and more specifically, Claude Code). Thanks for hosting her on the pod, Lenny.