Show HN: Nola – a TypeScript superset where LLM inference is a language feature

A developer released Nola, a TypeScript superset that makes LLM inference a native language feature, built around three concepts: 'infer' to define the LLM inference context, 'Intent' to encapsulate data and instructions sent to the LLM, and 'ask' to resolve the Intent into a typed result. Nola currently supports two Intent operations — extracting data and calling a native TypeScript function — with more planned, and documentation is available at nola.sh/docs. The project was posted to Hacker News, where it had 1 point and 0 comments.

Hi HN, in a world where 100% of code is written by AI phew, sometimes even 200% , there might still be a small percentage of us who want to write code in a more efficient way, especially when it comes to LLM interaction. I honestly tired converting my existing TS types into JsonSchemas or wrapping a function into tool object with all this bells and whistles around arguments. And I started experimenting with an idea - how can make LLM integration feels native? How can an LLM become part of the language / compiler, instead of being just one more external API that we have to integrate through yet another SDK? And I took the async / await / Promise idea as a starting point, ok so: 'async' - defines an asynchronous boundary, 'Promise' - represents an asynchronous intention, 'await' - resolves it. So I started thinking, what if we could do something similar for LLMs? That led me to create Nola, a TypeScript superset built around three concepts: 'infer' - like async , defines the LLM inference context, 'Intent' - encapsulates the data and instructions that will be sent to the LLM, 'ask' - like await , resolves the Intent into a typed result Right now, Intent represents two operations: extract the data and call the function yes native TS function , but more to come soon. Docs at: https://nola.sh/docs https://nola.sh/docs Thanks for your honest feedback Comments URL: https://news.ycombinator.com/item?id=49646501 https://news.ycombinator.com/item?id=49646501 Points: 1 Comments: 0