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refute
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Ramda: A practical functional library for JavaScript programmers
I find straight forward, dedicated combinators much more readable and practical to use ie. for iterables (context where it makes a lot of sense) [0] example [1], runtime assertions (through refutations, which are much faster than combinators over assertions) [2], parser combinators for smallish grammars [3] etc.
In many cases vanilla/imperative js is more readable and terse, no need to bring functional fanaticism everywhere, just in places where it gives true benefits and in form that can be understood by peers.
Functional code can be beautiful and can also be unreadable/undebugable. Same with imperative code. It's great in js/ts you can pick approach where the problem is expressed more naturally and mix it at will.
[0] https://github.com/preludejs/generator
[1] https://observablehq.com/@mirek/project-euler
[2] https://github.com/preludejs/refute
[3] https://github.com/preludejs/parser
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Ask HN: Why isn't JSON-RPC more widely adopted?
We use jsonrpc over websockets in production for many years in trading services. It works very well. We use lightweight libraries that look like this [0] and this [1]. It's lightweight, fast, type safe, easy to maintain and debug etc.
[0] https://github.com/preludejs/jsonrpc
[1] https://github.com/preludejs/refute
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An Inconsistent Truth: Next.js and Typesafety
Types can be asserted at runtime (parsed) at IO boundaries (reading http request or response, websocket message, parsing json file etc). Once they enter statically type system they don't need to be asserted again.
The difference it makes is illusion of type-safety vs type-safety this article touches on.
You can try to bind service with client somehow but in many cases this will fail in production as you can't guarantee paired versioning, due to normal situations by design of your architecture or temporary mid-deployment state or other team doing something they were not suppose to do etc. It's hard to avoid runtime parsing in general.
Functional combinators [0] or faster [1] with predicate/assert semantics work very well with typescript, which is very pleasant language to work with.
[0] https://github.com/appliedblockchain/assert-combinators
[1] https://github.com/preludejs/refute
sick
- FLaNK Stack Weekly 12 February 2024
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On-demand JSON: A better way to parse documents?
I solved this problem with a custom indexed format: https://github.com/7mind/sick
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Ask HN: Why isn't JSON-RPC more widely adopted?
JSON-like data structures do not necessary require a stack automaton for parsing. Moreover it doesn't necessarily require any parsing at all.
E.g. I've implemented a simple indexed binary format for JSON-like data: https://github.com/7mind/sick
The problems with JSON-RPC are mostly in its design, it's not ergonomic and its type system is a joke.
There are many better alternatives ranging from gRPC (still not ergonomic and not modular) to Protoforce (extremely powerful and ergonomic but only marginally adopted).
What are some alternatives?
assert-combinators - Functional assertion combinators.
json-api - A specification for building JSON APIs
next-rpc - makes exported functions from API routes accessible in the browser. Just import your API function and call it anywhere you want.
connect-es - The TypeScript implementation of Connect: Protobuf RPC that works.
parser - String parser combinators
grpc-web - gRPC for Web Clients
gradual-typing-bib - A bibliography on Gradual Typing
master-spring-and-spring-boot - Spring and Spring Boot Tutorial For Absolute Beginners - 10-in-1 - Spring to Spring Boot to REST API to Full Stack to Containers to Cloud
Healthcare-Demo - Demo for HIMSS Conference 2024 which covers patient outcome prediction and LLM condition recommendations.
lbbs - Lightweight BBS For Linux - Bulletin Board System server software
protobuf-es - Protocol Buffers for ECMAScript. The only JavaScript Protobuf library that is fully-compliant with Protobuf conformance tests.
fosdem2024 - Sample code, slides and videos from my FOSDEM 2024 talk "LangChain From 0 To 1: Unveiling the Power of LLM Programming"