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•6mo 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•6mo 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•6mo 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: Unrestricted Windows automation MCP with 9.68x GPU amplification

https://github.com/For-Sunny/nova-mcp-research
1•Opus_Warrior•40s ago•0 comments

I built a Duolingo and Instagram for focusing(it's 100% free)

https://apps.apple.com/us/app/locasfocus-social-focus-timer/id6742454713
1•mandynoee•6m ago•0 comments

Gamification of Programming Languages

https://sigusr2.net/gamification-of-programming-languages.html
2•keyle•10m ago•0 comments

Nature's Prescription for Our Future

https://nautil.us/natures-prescription-for-our-future-1245190/
2•dnetesn•13m ago•0 comments

Why are you (still) using OpenBSD?

https://www.tumfatig.net/2025/why-are-you-still-using-openbsd/
3•akagusu•15m ago•0 comments

Show HN: I made 4 albums in 4 different styles over 4 years

1•keith-darley•23m ago•0 comments

That New Hit Song on Spotify? It Was Made by A.I

https://www.newyorker.com/culture/infinite-scroll/that-new-hit-song-on-spotify-it-was-made-by-ai
1•pseudolus•24m ago•1 comments

Friction Was the Feature

https://johnstone.substack.com/p/friction-was-the-feature
3•davezatch•24m ago•0 comments

What You See Is What It Does: A Structural Pattern for Legible Software Onward!

https://arxiv.org/abs/2508.14511
1•based2•25m ago•1 comments

"In sooth I know not why I am so sad."

https://hollisrobbinsanecdotal.substack.com/p/in-sooth-i-know-not-why-i-am-so-sad
1•HR01•32m ago•0 comments

Freqtrade: Free, open source crypto trading bot

https://github.com/freqtrade/freqtrade
2•shahargl•33m ago•0 comments

DECT NR+ on General Availability

https://www.dect.org/blog/dect-nr-on-general-availability/
1•teleforce•34m ago•0 comments

UC faculty push back against systemwide cybersecurity mandate

https://www.dailycal.org/news/uc/single-point-of-failure-uc-faculty-push-back-against-systemwide-...
1•geox•34m ago•0 comments

Summit on European Digital Sovereignty

https://bmds.bund.de/aktuelles/eu-summit
3•doener•36m ago•0 comments

AI Country Song – Create Your Own Country Song in Minutes

https://aicountrysong.com/
1•easytube•38m ago•0 comments

Genes Have Harnessed Physics to Grow Living Things

https://www.wired.com/story/how-genes-have-harnessed-physics-to-grow-living-things/
1•quapster•39m ago•0 comments

How VS Code Detects Programming Languages

https://github.com/microsoft/vscode-languagedetection
1•bakigul•42m ago•0 comments

The Screen That Ate Your Child's Education

https://www.nytimes.com/2025/11/16/opinion/laptop-classroom-test-scores.html
2•bell-cot•42m ago•0 comments

Is Perplexity the first AI unicorn to fail?

https://medium.com/@anwarzaid76/is-perplexity-the-first-ai-unicorn-to-fail-eb0e827b5e7e
2•MindBreaker2605•43m ago•0 comments

US stablecoin power-play could epically backfire

https://www.reuters.com/commentary/breakingviews/us-stablecoin-power-play-could-epically-backfire...
1•pseudolus•45m ago•0 comments

Ask HN: Do vibecoders need software control?

1•harlequinetcie•52m ago•0 comments

Brimstone: ES2025 JavaScript engine written in Rust

https://github.com/Hans-Halverson/brimstone
2•ivankra•59m ago•0 comments

Tips for building performant LLM applications

https://moduloware.ai/pdf/Writing-High-Performance-AI-Agents-in-Python-Insights-from-building-Mod...
3•zuzuen_1•1h ago•1 comments

BikeSafe Watchman: I built a dedicated hardware security unit for all motorbikes

https://bikesafe.me/blogs/news/watchman-bringing-premium-security-to-every-motorcycle
1•mygnu•1h ago•0 comments

Anthropic's report smells a lot like bullshit

https://djnn.sh/posts/anthropic-s-paper-smells-like-bullshit/
119•vxvxvx•1h ago•35 comments

Element X and Pro updates; a glimpse into the future

https://element.io/blog/element-x-and-pro-updates-a-glimpse-into-the-future/
1•maelito•1h ago•1 comments

Experts question Anthropic's claims of cyberattacks using its tools

https://arstechnica.com/security/2025/11/researchers-question-anthropic-claim-that-ai-assisted-at...
3•pomarie•1h ago•0 comments

CRX – Need help to complete my project

https://github.com/vincent2o1/CRX-Lite-2.0
1•Who_99•1h ago•1 comments

Foreign direct investment in semiconductors reconfigured sharply toward the U.S.

https://www.mckinsey.com/featured-insights/week-in-charts/fdi-fuels-chip-shift
1•giuliomagnifico•1h ago•0 comments

Programming Languages in the Age of "AI" Agents

https://alexn.org/blog/2025/11/16/programming-languages-in-the-age-of-ai-agents/
2•todsacerdoti•1h ago•0 comments