frontpage.
newsnewestaskshowjobs

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 ??

Degrees of Freedom

https://exple.tive.org/blarg/2026/08/10/degrees-of-freedom/
1•CountHackulus•58s ago•0 comments

Can Agents Use a Computer Yet?

https://www.a16z.news/p/can-agents-use-a-computer-yet-weve
1•deepmem•2m ago•0 comments

Hexis: Git-backed skills, tools and context for AI agents

https://github.com/Bevel-Software/Hexis
1•juanviera23•3m ago•0 comments

DL591 LAS-ATL arrival met by federal agents following mid-air WiFi hacking

https://www.reddit.com/r/delta/comments/1vl52vr/dl591_lasatl_arrival_met_by_federal_agents/
2•_____k•4m ago•0 comments

Show HN: Pickle – token efficient AI agent browser with policy-gated actions

https://picklebrowser.com/
3•ismail_h•5m ago•0 comments

Mother of all VPNs v2 release: Same 16 protocols, rebuilt underneath

https://twitter.com/MotherofallVPNs/status/2087169933604008016
2•shayanbahal•7m ago•1 comments

We built our own status page with AI, replacing a $65k SaaS product

https://www.fivetran.com/blog/we-built-our-own-status-page-with-ai-replacing-a-65k-saas-product
2•georgewfraser•7m ago•0 comments

Jackie the bald eagle dead at 14

https://www.popsci.com/environment/jackie-bald-eahttps://www.popsci.com/environment/jackhttps://w...
2•cyndunlop•8m ago•1 comments

Nvidia Nemotron 3.5 Lightning

https://twitter.com/NVIDIAAI/status/2087162151995629926
3•tosh•9m ago•0 comments

What does International Vlogging Day mean in 2026?

https://sijobling.com/micro/what-does-international-vlogging-day-mean-in-2026/
2•mooreds•9m ago•0 comments

PDCA

https://en.wikipedia.org/wiki/PDCA
3•tosh•10m ago•0 comments

AI Is Accelerating Vulnerability Discovery

https://ai-updates.net/ai-accelerating-vulnerability-discovery-inventory/
2•ashurandi•11m ago•1 comments

Scrunch: Rewriting the Web for AI

https://www.decibel.vc/articles/scrunch-rewriting-the-web-for-ai
2•mooreds•11m ago•0 comments

Pure-Rust, Sandboxed, Browser for Claude Code / Codex

https://www.reddit.com/r/ClaudeAI/comments/1vknrjx/building_a_purerust_sandboxed_localfirst_browser/
2•syumei•11m ago•1 comments

The Vertical AI Bubble: We Keep Forgetting That LLMs Roll Dice

https://medium.com/@MirArshadTalpur/the-vertical-ai-bubble-we-keep-forgetting-that-llms-roll-dice...
2•Arshad-Talpur•13m ago•0 comments

Share What You Learned, Not Just Your AI Conversation

https://vcfg.me/writing/share-what-you-learned-not-just-your-ai-conversation/
2•vcfgdev•13m ago•0 comments

Low-Tech Ceramic Water Filter

https://wiki.lowtechlab.org/wiki/Filtre_%C3%A0_eau_c%C3%A9ramique/en
2•Bluestein•13m ago•0 comments

Learning from Historical Mistakes

https://www.johndcook.com/blog/2026/08/10/learning-from-historical-mistakes/
3•ibobev•13m ago•0 comments

Manually Unbreakable Cryptography

https://www.johndcook.com/blog/2026/08/11/manually-unbreakable-cryptography/
3•ibobev•13m ago•0 comments

Dogs and Fat Tails

https://www.johndcook.com/blog/2026/08/11/dogs-and-fat-tails/
2•ibobev•13m ago•0 comments

Why did I build a product no one needs?

https://metedata.substack.com/p/017-why-did-i-build-a-product-no
2•young_mete•14m ago•0 comments

Free tokens for sale: How fake signups drive AI fraud

https://www.okta.com/blog/threat-intelligence/free_tokens_for_sale/
2•mooreds•14m ago•0 comments

A quick look at zero-knowledge proofs

https://bernsteinbear.com/blog/zkp/
2•tekknolagi•14m ago•0 comments

How the Heck Does JPEG Work?

https://perthirtysix.com/how-the-heck-does-jpeg-work
5•shriracha•16m ago•0 comments

Show HN: A football SIM that has run 8 seasons – every match deterministic

https://danfootball.com
2•declaj•17m ago•1 comments

Summer 2026 on course to be UK's hottest on record, says Met Office

https://www.theguardian.com/environment/live/2026/aug/11/uk-europe-france-heatwave-climate-crisis...
2•ljf•17m ago•0 comments

Spotify Xirp

https://xirp.spotify.com/
2•tosh•17m ago•0 comments

Stealing Reasoning Traces from Proprietary LLM APIs [pdf]

https://stolen-thoughts.com/paper.pdf
2•amrrs•19m ago•0 comments

Program with Paint Brushes, Not Pencils

https://blog.pickcode.io/program-with-paint-brushes-not-pencils/
1•skadamat•19m ago•0 comments

Show HN: Prompting Refinement Tool [requesting testing]

https://www.promptme.host/
1•markquis91•20m ago•0 comments