Identifying coding as a key use case and training Opus 3 to be better at long-form code was a relatively small training change that became Anthropic's first major competitive differentiator.
Diane Penn explains that in 2023 nobody associated Anthropic and Claude with coding, but she saw users moving beyond autocomplete to write long-form code with models, so they trained Opus 3 to improve at it — a small change that unexpectedly became a major differentiator. ✦ AI generated
Diane Penn · Lenny's Podcast · 2026-07-26 · original ↗
starts at this moment · 11:00
“What are some of the other big inflection moments as you think about just Anthropic going from just this like lab that's trying to compete with this juggernaut of OpenAI at that point to what it is today? What are some moments that stick out of like wow that really changed things?”
And then I think there were things like identifying that coding was important. Right? In 2023 when I started um nobody said anthropic and claude and coding in the same sentence. I think competitor models like GPT4 at the time was used a bit for coding but it was one of many use cases. And one thing that for example I saw was people are starting to use code uh these models not just for code not just like code autocomplete but actually writing long form code and is that an opportunity for us to train you know opus 3 to be better at and it ended up being a relatively smaller change from a training perspective but it ended up helping us differentiate in the early days uh competitively for users. and actually bring a lot of the very early cla enthusiasts and developers because we were uh providing a value that they didn't really think was possible at the time.
verbatim transcript · starts at 11:00
11:00our production models across product and research because we were working just so much in the trenches together in the early days. And then I think there were things like identifying that coding was important. Right? In 2023 when I started um nobody said anthropic and claude and coding in the same sentence. I think competitor models like GPT4 at the time was used a bit for coding but it was one
11:27of many use cases. And one thing that for example I saw was people are starting to use code uh these models not just for code not just like code autocomplete but actually writing long form code and is that an opportunity for us to train you know opus 3 to be better at and it ended up being a relatively smaller change from a training perspective but it ended up
11:54helping us differentiate in the early days uh competitively for users. and actually bring a lot of the very early cla enthusiasts and developers because we were uh providing a value that they didn't really think was possible at the time. >> It's so interesting you talk about Opus 3 like that's so long ago and just like it's hard to think that was a big inflection and so this is really
12:16interesting to hear that that was internally a big milestone. It almost feels like this confidence you all built that wow we could really ship a frontier model which is now today so not great if you compare it to what we've got today. What I always think about is Opus 45 which was and interestingly like a year later also during winter break when everyone was home able to code. Uh was