frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Open in hackernews

Ask HN: Is there a general, multi-PL programming task dataset?

1•quartztz•11mo ago
Hello!

Being a student interested in PL design, I have had this idea floating around for a while: the gist is finding out what programming languages LLMs might be the most proficient in, to study their design choices and syntactic features with the goal of designing the perfect language for LLMs. This is, of course, gimmicky, but I entertained the idea for a while as a fun afterschool project.

The challenge is: what would be the best way to evaluate programming performance _in specific languages_? There are two main hypotheses here:

1. There are intrinsic syntactic/structural features that the transformer architecture is uniquely able to parse/reproduce/understand best, leading to higher quality code generated. For example: Lisp dialects make parsing code structure and blocks very easy, so one could assume an LLM can "understand their code better" 2. There is so much Python/JS out there that the question isn't even worth asking, and the performance in those will beat whatever other language you throw at it. This is probably not as much of a point thanks to newer transformer architectures but the question is still up.

I suspect the answer can be made somewhat interesting by considering performance relative to language popularity, but the ground question is: is there a general dataset containing different programming challenges, of varying difficulty, in multiple languages, with standard solutions? I couldn't find anything when I looked around, but I might have missed something obvious. It wouldn't be impossible to build a simple website to crowdsource, but I'm thinking that if I missed something obvious I'd rather find out early than late. Also, if you have any input on the project itself, I'd love to hear your ideas!

Comments

Someone•11mo ago
> For example: Lisp dialects make parsing code structure and blocks very easy, so one could assume an LLM can "understand their code better"

I would expect the reverse: lisp has no syntactic sugar, making it harder for a LLM to glue code fragments together in a way that produces valid lisp code. Even guaranteeing that parentheses are correctly nested already can be a challenge.

As to a set of programs: they aren’t exactly what you’re looking for, but I would consider https://projecteuler.net (does not contain solutions, but searching for project Euler solutions” finds some) or https://benchmarksgame-team.pages.debian.net/benchmarksgame.

sargstuff•11mo ago
Very open ended questions. Geeks for Geeks loosely organized around computer science topics of study : https://www.geeksforgeeks.org/

nit-pick details:

Ignoring hardware differences, "performance" comparisons can be based on differences between algorithm(s) used vs. how algorithm is implimented. For a given language, "algorithm implimentation performance" can be defined as the trade-offs on how a a given algorithm is implimented in a language (compared to other programming languages, but also easy use/flexibility based on 'language generation level -> https://www.geeksforgeeks.org/generation-programming-languag... )

----------------------

1) General computation language specialty 'modules' not withstanding; "languages" are built/optimised around core algorithmic concepts / anticipated area/concentration of targeted professional environment. aka opencl (gpu), R (statistics), Lisp (engineering design), C (OS level), sql (data selection), jasper reports, cobol (business), etc. Languages tend to be 'popular' because of the ecosystem provided around/for a given language.

snarky side note -> can always write a more standard language that compiles to an esolang & provide appropriate emacs/vim/sed/spacemacs ide support.: https://esolangs.org/wiki/Main_Page

  LLM's are very useful at curating information and recognizing/summarizing "statisical" relevance. aka apl is great for engineering mind set, not so good for business use cases aka cobal.  LLM might recognize a language for a given user that combines commonly used 'apl' aspecs of user and commonly used 'cobal' aspecs of user and recommend a language(s) with suitable commonalities for given user. 


2) Search engine topic 'coding challenges' 'algorithmic coding challenges' brings up many types of answers/sites for honing one's coding skills (various languages, beginner to expert, etc). Coding 'algorithms' vs. coming up with algorithm(s) to code is sort of a side aspect. Also differences in 'competition' challenges vs. 'technical challenges' (aka 512 c64 vs. 1 raspberry pi) ; vs. "computer science coding challenges" vs. 'computational genomic challenges'

     ?? how easy / hard based on 'profession' aka artist vs. software designer 20 years experience programming in scheme; environment -- NASA vs. google vs. insurance company.

   ?? from scratch : https://synoptek.com/insights/it-blogs/10-challenges-every-software-product-developer-faces/

   ?? based on industry standards ?? ; just trying to keep skills honed ??

Show HN: AI tool to merge people from two photos into one realistic group photo

https://animateoldphotos.org/add-loved-one-to-photo
1•imgdesgen•3m ago•0 comments

Cybernetic Entropy Control of LLMs

https://github.com/orthogonaltohumanity/Cybernetic_Entropy_Control
1•tiredgirl4•4m ago•0 comments

The machines are fine. I'm worried about us

https://ergosphere.blog/posts/the-machines-are-fine/
1•doener•5m ago•0 comments

Apple: The First 50 Years – David Pogue

https://www.simonandschuster.com/books/Apple/David-Pogue/9781982134594
1•mitchbob•5m ago•0 comments

ClawCode – a Rust rewrite of Claude Code with 100% behavioral parity

https://github.com/StartripAI/claw_code
1•AlfredHua1•7m ago•0 comments

Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events

https://netflixtechblog.com/smarter-live-streaming-at-scale-rolling-out-vbr-for-all-netflix-live-...
1•mfrw•9m ago•0 comments

QRL 2.0 testnet has been released

https://github.com/theQRL/go-qrl
1•munrocket•10m ago•1 comments

White label crypto exchange

1•Shamlatech•16m ago•0 comments

The Luton writer behind the original Airplane!

https://www.bbc.com/news/articles/cx24rd1xp4go
1•1659447091•17m ago•0 comments

Latent Introspection: Models Can Detect Prior Concept Injections

https://arxiv.org/abs/2602.20031
1•tosh•19m ago•0 comments

I may have solved a long standing problem with Object Oriented systems

https://blog.mempko.com/an-abject-horror/
1•signa11•19m ago•0 comments

I used AI. It worked. I hated it

https://taggart-tech.com/reckoning/
1•signa11•21m ago•0 comments

Autonomous, task-aware context tuning for AI coding agents

https://github.com/juyterman1000/entroly/
1•abby-star•22m ago•0 comments

Fixed a llama.cpp bug silently disabling Vulkan GPU on all 32-bit ARM devices

1•perinban•22m ago•0 comments

Show HN: Agentdid – Cryptographic proof that a human stands behind an AI agent

https://github.com/Mr-Perfection/agentdid
1•sungsool•22m ago•0 comments

LLM Knowledge Bases

https://twitter.com/karpathy/status/2039805659525644595
1•fbrusch•23m ago•0 comments

Agentis Memory – Redis-compatible store with built-in local embeddings

https://github.com/scrobot/agentis-memory
1•scrobot•24m ago•1 comments

Ara's Backing from Y Combinator

https://www.ara.so/news/announcing-backing-from-y-combinator
1•svemyh•26m ago•0 comments

Pentagon Pete's Bigoted Reason for Firing Top General Leaks

https://www.thedailybeast.com/pentagon-petes-bigoted-reason-for-firing-top-general-randy-george-l...
4•KnuthIsGod•26m ago•0 comments

WireGUI – Open-source WireGuard management platform with SSO and firewall rules

https://github.com/bartei/wiregui
2•bartei81•27m ago•0 comments

The IT department: Where AI goes to die

https://www.economist.com/by-invitation/2026/04/01/the-it-department-where-ai-goes-to-die
1•1vuio0pswjnm7•27m ago•0 comments

Meta, YouTube Verdict Escalates Calls for Teen Social Media Limits

https://www.bloomberg.com/news/articles/2026-03-31/social-media-bans-are-sweeping-the-world-is-th...
1•1vuio0pswjnm7•29m ago•0 comments

X/Twitter in the Terminal

https://github.com/bddicken/tuitter
1•gasull•31m ago•0 comments

SimplAI now has an official Reddit community – r/SimplAIofficial

https://old.reddit.com/r/SimplAIoffical/
1•SimplAI_ai•34m ago•0 comments

Resilience in the Age of AI

https://halfanhour.blogspot.com/2026/04/resilience-in-age-of-ai.html
1•wazHFsRy•36m ago•0 comments

Make Money with LottoChamp (Satirical)

https://statmodeling.stat.columbia.edu/2026/04/01/this-evil-lottery-scam-appears-to-be-aided-and-...
1•caminanteblanco•36m ago•0 comments

Trafficmind Approach to Attack Detection Without CAPTCHAs

1•emmanol•37m ago•0 comments

Browser extension malwares – Use my XPI scanner to find malware in the wild

https://www.yourdev.net/blog.php?post=extension-malware-in-the-wild
1•ernos•39m ago•0 comments

Reddit is moving on from R/all

https://www.theverge.com/tech/906314/reddit-r-all-deprecating
1•Growtika•45m ago•1 comments

Stay Away from Accessibility Overlays

https://vale.rocks/posts/accessibility-overlays
2•YounesDz•45m ago•0 comments