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•1y 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•1y 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•1y 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 ??

AutoSP: Long-Context LLM Training via Compiler-Based Sequence Parallelism

https://pytorch.org/blog/introducing-autosp/
1•matt_d•8s ago•0 comments

Go Mistakes and How to Avoid Them

https://100go.co/
1•amai•14s ago•0 comments

Now what? GitHub is insecure on push, CVE-2026-3854

https://webmatrices.com/post/now-what-github-is-insecure-on-push-cve-2026-3854
1•birdculture•1m ago•0 comments

Timmy the whale rescue attempt begins off coast of Germany – in pictures

https://www.theguardian.com/environment/gallery/2026/apr/29/timmy-the-whale-rescue-attempt-begins...
1•tosh•1m ago•0 comments

Show HN: See where your computer connects (TapMap)

https://github.com/olalie/tapmap
1•olalie•1m ago•0 comments

The math that explains AI lab economics [video]

https://www.youtube.com/watch?v=xmkSf5IS-zw
1•mfiguiere•1m ago•0 comments

Copy Fail – CVE-2026-31431

https://copy.fail/
1•unsnap_biceps•1m ago•0 comments

Building Sandboxes for Computer Use

https://www.tensorlake.ai/blog/building-sandboxes-for-computer-use
1•gk1•3m ago•0 comments

Why the Worst People Always Get to the Top [video]

https://www.youtube.com/watch?v=e_AJ2qrftlU
1•joe_mamba•3m ago•0 comments

Growing Engineers in the Age of AI

https://jasonrobert.dev/blog/2026-04-17-growing-engineers-in-the-age-of-ai/
1•cebert•5m ago•0 comments

Global Network of Discovery

https://www.gnod.com/
1•saikatsg•5m ago•0 comments

Nick Pope, UFO Sleuth Who Chased the Truth, Dies at 60

https://www.nytimes.com/2026/04/28/science/nick-pope-dead.html
1•paulpauper•6m ago•0 comments

#242 – Will MacAskill on why AI character matters more than you think

https://80000hours.org/podcast/episodes/will-macaskill-ai-character-viatopia/
1•paulpauper•7m ago•0 comments

Fossil – A Coherent Software Configuration Management System

https://fossil-scm.org/home/doc/trunk/www/index.wiki
2•matthiaswh•8m ago•0 comments

Historic Tennessee Hotel Is Also Home to the Greatest Duck Tradition (2016)

https://www.audubon.org/magazine/tennessees-most-historic-hotel-also-home-greatest-duck-tradition
1•NaOH•8m ago•0 comments

Sourcehut – The Hacker's Forge

https://sourcehut.org
1•matthiaswh•9m ago•0 comments

Lessons form Google's Global Outage of 2020

https://onlytech.boo/incident/google-global-outage-2020-mnn0ba2h
1•vednig•10m ago•0 comments

Incompressible Knowledge Probes: Measuring Frontier LLM Sizes

https://01.me/research/ikp/
1•kschaul•11m ago•0 comments

SamOeurnME

https://blog.cloudflare.com/agents-stripe-projects/
1•SamOeurnME•12m ago•0 comments

Jeffrey Epstein Encouraged Peter Thiel's Political Journey

https://jacobin.com/2026/04/epstein-thiel-tech-finance-trump
3•frm88•13m ago•1 comments

Fast VPS ≠ reliable: we tested 24/7 workloads – consistency beat peak speed

https://webbynode.com/articles/vps-agent-workloads-consistency-vs-speed
1•gsgreen•13m ago•0 comments

Platform Engineer (Security), DevSecOps Engineer and Full-Stack Product Engineer

1•DevUp•13m ago•0 comments

Polycrisis

https://en.wikipedia.org/wiki/Polycrisis
1•consumer451•13m ago•0 comments

I Had Near 100% Test Coverage. It Didn't Matter

https://blog.reqproof.com/p/i-had-near-100-test-coverage-it-didnt
1•LeonidBugaev•16m ago•0 comments

Australia moves to tax Meta, Google and TikTok to fund newsrooms

https://halifax.citynews.ca/2026/04/28/australia-moves-to-tax-meta-google-and-tiktok-to-fund-news...
1•1vuio0pswjnm7•16m ago•0 comments

Kon-Tiki Set Sail 79 Years Ago Today

https://nautil.us/kon-tiki-set-sail-79-years-ago-today-1280285
2•Brajeshwar•17m ago•0 comments

Unveiling Eighth Generation TPUs

https://twitter.com/GoogleAI/status/2049546885371670895
1•cmitsakis•18m ago•0 comments

Show HN: Verifying AWS Costs Deterministically with Z3 SMT Solver (WASM)

https://github.com/KLOUCEO/klou-verify
1•marcosjunior•18m ago•0 comments

Show HN: Open-source background computer use for Windows agents

https://github.com/voctory/trope-cua
1•voc•19m ago•0 comments

Monk – A market research dashboard for traders

https://monk.trade
1•vishr•19m ago•0 comments