Very cool! Is the LLM-on-the-backend a recent addition or have y'all been thinking about that potential since 2020? Would be curious to hear a bit more about your journey to market
Toward the middle of last year I re-connected with Andy (our third cofounder) who I went to school with and have wanted to work on a company with for a long time. We did a bunch of customer discovery / product work to figure out how to take what I learned doing this by hand and turn it into a software product. That was exciting enough that we decided to bring Andy on as a third co-founder and pivot our YC company.
Allison and my background is in building data businesses. Before Infield and Syndetic we worked at a startup in the beverage industry where we standardized inventory data for every alcohol product sold in the US. As we got into building Infield we didn't expect to use LLMs at all. We imagined a similar human-in-the-loop expert system to what we've built before.
I've been extremely impressed with recent language model's ability to handle unstructured changelog text. For example, consider the following snippet of a changelog:
Security:
- Address an issue with password validation
Breaking change:
- The `foo?` method now returns a boolean instead of int