The idea is to have deterministic text transformations generated by AI, which can be saved and reused later to avoid incurring/piling up LLM-call cost and hallucinations.
This solves my own pain points when I wanted to clean up some text with non-trivial requirements which takes quite some time to figure out with normal text editor's find-and-replace + regex.
Yes, you can write your own code/put LLM generated code in an IDE and do the same thing. However, I just wanted to create a trivial way to generate/save/execute (safely in a local lightweight VM) code to transform my text.
Pop Meals is building a leading digital O2O food brands in SEA. We use tech to disrupt the food industry by offering convenient app, great offline experience and amazing food!
As a senior/lead backend engineer, you are responsible for firefighting work, adding highly impactful features, or implementing major change that improves the business or team's productivity.
We are still running on a monolithic code base (with containers) so there are huge upcoming opportunity to break it down into microservices and setup the whole infrastructure to support them.
Our tech team is small yet talented, as we intentionally hire people who's resourceful and want to wear a lot of different hats.
Send CV to vu [at] popmeals [dot] com if you're interested in new challenges and have meaningful tech impact on the business.
The idea is to have deterministic text transformations generated by AI, which can be saved and reused later to avoid incurring/piling up LLM-call cost and hallucinations.
This solves my own pain points when I wanted to clean up some text with non-trivial requirements which takes quite some time to figure out with normal text editor's find-and-replace + regex. Yes, you can write your own code/put LLM generated code in an IDE and do the same thing. However, I just wanted to create a trivial way to generate/save/execute (safely in a local lightweight VM) code to transform my text.
Would love to hear some comments and feedbacks!