Hacker News with Generative AI: Backend Development

Show HN: Vratix – Open source API Modules that simplify backend development (github.com/vratix-dev)
We created this library of reusable API modules to simplify API development because we were wasting too much time setting up basic functionality and researching the latest backend best practices.
State of Learning to Code 2024 Report (boot.dev)
I’ve been building a learning curriculum for backend developers for the last 3 years, but I’ve mostly been relying on qualitative feedback and my own intuitions.
Rama on Clojure's terms, and the magic of continuation-passing style (redplanetlabs.com)
Rama is a platform with huge applicability, able to express all the computation and storage for a backend at any scale. Just like the UNIX philosophy of composing simple programs to do more complex tasks, Rama is based on simple building blocks that compose for any backend use case.
Ask HN: Best AI Code Assistant? (ycombinator.com)
I would like to hear the community's opinion on the best code assistant they've tried. Ideally, I'm looking for something that allows experienced backend developers to save time (targeting languages C# and Java) and is good at handling boilerplate and complex requests.
Rama on Clojure's terms, and the magic of continuation-passing style (redplanetlabs.com)
Rama is a platform with huge applicability, able to express all the computation and storage for a backend at any scale. Just like the UNIX philosophy of composing simple programs to do more complex tasks, Rama is based on simple building blocks that compose for any backend use case.
Ask HN: Kotlin SpringBoot vs. Python Django for Min Viable Product (ycombinator.com)
Hi everyone, I am a backend developer using Spring Boot and Java. I also know some Angular. I had an app idea and wanted to build out the backend in either Kotlin+SpringBoot or Django+Python. I already know Python from prior experience but was wondering which one of the two combinations would be faster for prototyping.
Protocol Buffer Design: Principles and Practices for Collaborative Development (lyft.com)
At Lyft Media, we’re obsessed with building flexible and highly reliable native ad products. Since our technical stack encompasses mobile clients on both iOS and Android, as well as multiple backend services, it is crucial to ensure robust and efficient communication between all involved entities. For this task we are leveraging Protocol Buffers, and we would like to share the best practices that are helping us achieve this goal.
Web Apps Have Client and Server State (dashbit.co)
Show HN: I built a backend so simple that it fits in a YAML file (manifest.build)