bnormative

Thanks but no thanks. Firebase is already modern.

I believe hn users who claim to be from argentina or somewhere near, that's it. If I see one such comment, it might still be misleading but If it is tens of such people, it would be legit enough to believe.

this is not a tool, this is an llm wrapper :)

It is funny how tutorials are always built on top of "hello world" or basic math functions where you don't see anything close to real world. I mean, I would not expect to see production level code but at least it could be a sort of demonstration of it.

It works if and only if it is requested.

Location: Turkey

Remote: Yes

Willing to relocate: Why not?

Technologies: Go("Golang" for search), NodeJS, Rust, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Cassandra, ScyllaDB, Docker, Kubernetes, Kafka, RabbitMQ, Many AWS and GCP products, React, Flutter/Dart.

Résumé/CV: not publicly available.

Email: indie.yt.tr@gmail.com

I am a Go oriented backend engineer with 4 years of experience.

I would like to design and build Microservices that are scalable and fault tolerant.

Looking for any opportunities from low to middle sized startups.

Also open for any founding engineering role.

However, consider LLM's and the way they actually work. If I want it to create a unique LLM, is it intelligent enough to come up with one that it is not trained with? Does it have enough understanding to compare all the other ones it is trained with and come up with a new one using some probabilistic randomness?