Transcript

I'm surprised by the amount of app development we are now facing 2 years, I would never guess that we've accumulated a lot of TypeScript. We're now managing and we are bringing in web app people from the web app team. But mostly we're just challenging data engineers who love their Pyspark, Python to go learn TypeScript, optimize, add to this and that's been one of our bigger challenges in our planning team loves these big pivot views. And we were facing timeout issues as they wanted 10,000 rows in a pivot table. So after conversations with Palantir production support, it's like, well, first you gotta optimize this and second, I think you need to upgrade, you need need more memory. So this might be a simple task for others, but I'm tasking data engineers who have very limited TypeScript ability to say, alright, go rewrite all our TypeScript code so we can upgrade to version 2. So this is actually the first thing we use AI FDE for. We throw it in and said, hey, it has all the documentation, convert the code for us. API references those Foundry docs, generates the conversions, flags the fix and reruns for us. We are able to get the code optimized and go from prefiltering these major pivot tables to them loading in sub seconds. And the beautiful part about it is you can create a foundry branch, run this while you work on other things. I have people that are running multiple IDE S at a single time. They come back, see the result. Either it got all the way there, or worst case you got a coherent way to approach the problem.