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 ??

Switchkraft

https://switchkraft.zone/
1•skogstokig•1m ago•0 comments

Panorama – Review Code, Faster

https://panorama.stagas.deno.net/
1•stagas•2m ago•0 comments

SendIt – browser-based file/text transfer tool

https://trysendit.app/
1•GrandpaCereal•3m ago•1 comments

Future of AI-Facilitated Medicine

https://www.amacad.org/publication/daedalus/future-ai-facilitated-medicine
1•dnw•6m ago•0 comments

Luminous: Rust Based Image Viewer

https://github.com/jaroslavszkandera/luminous
1•unk_•8m ago•0 comments

Capital and the Debt Trap

https://en.wikipedia.org/wiki/Capital_and_the_Debt_Trap
2•teleforce•8m ago•0 comments

Gas prices drive Georgia man to create a "mini car" costing $3 to fill up [video]

https://www.youtube.com/watch?v=c-QNFxkWktY
2•nxobject•14m ago•0 comments

Four Russian satellites are now within striking distance of an ICEYE radarsat

https://arstechnica.com/space/2026/05/a-satellite-company-supporting-ukraine-appears-to-be-in-rus...
5•fghorow•18m ago•0 comments

The Silent Merge Queue Corruption That Hit 658 GitHub Repos

https://failure-modes.dev/library/fm-029
2•birdculture•19m ago•0 comments

Are we overthinking post-quantum cryptography? (2025)

https://neilmadden.blog/2025/06/20/are-we-overthinking-post-quantum-cryptography/
1•mooreds•22m ago•0 comments

Chip design from the bottom up – Reiner Pope [video]

https://www.youtube.com/watch?v=oIk3R-sMX5o
1•matt_d•23m ago•0 comments

I used $30,983 of AI tokens last month in Claude Code on $200/mo plan

https://www.indiehackers.com/post/i-used-30-983-of-ai-tokens-last-month-in-claude-code-on-200-mo-...
5•khadinakbar•23m ago•1 comments

Megalodon chums the waters in 5.5K+ GitHub repo poisonings

https://www.theregister.com/security/2026/05/22/megalodon-chums-the-waters-in-55k-github-repo-poi...
4•sbulaev•27m ago•1 comments

remembering s. “soma” somasegar

https://www.geekwire.com/2026/s-soma-somasegar-1966-2026-microsoft-and-madrona-leader-was-a-champ...
1•brajendra119022•30m ago•0 comments

RFC Index

https://www.ietf.org/rfc/rfc-index.txt
1•1vuio0pswjnm7•34m ago•0 comments

Why We've Filed a Referendum

https://www.stopstratos.org
3•mrwaffle•34m ago•0 comments

Don't just paste the AI at me

https://dontquotetheai.com/
4•khaosdoctor•37m ago•0 comments

CypherLoc, an advanced browser-locking scareware targeting millions

https://blog.barracuda.com/2026/05/20/threat-spotlight-cypherloc-scareware
2•croes•40m ago•0 comments

Did Google's AI agents build an operating system for $916?

https://www.normaltech.ai/p/did-googles-ai-agents-really-build
4•randomwalker•45m ago•0 comments

AI and doctrinal collapse

https://www.stanfordlawreview.org/print/article/ai-and-doctrinal-collapse/
1•hhs•48m ago•0 comments

Jailbroken Gemini helped Russian-speaking fraudster target MAGA crypto users

https://www.theregister.com/cyber-crime/2026/05/22/jailbroken-gemini-helped-russian-speaking-frau...
2•lschueller•50m ago•0 comments

Who's to Blame When an Ivy League President Drives into His Students?

https://www.theringer.com/2026/05/22/national-affairs/cornell-car-scandal-president-michael-kotli...
6•hn_acker•51m ago•2 comments

Show HN: BonzAI – self-sovereign, local LLM inference in the browser

https://www.bonzai.sh/
1•wilhempujar•51m ago•0 comments

Show HN: Logatory – local-first log analysis and threat detection, no SIEM

https://github.com/T0nd3/logatory
1•T0nd3•51m ago•0 comments

Bug 1950764: Work Around Crash on Intel Raptor Lake CPU

https://phabricator.services.mozilla.com/D301917
1•luu•52m ago•0 comments

MCP-safeguard: Automated security scanner for MCP servers (52 detection rules)

https://github.com/SyedAnas01/mcp-safeguard
1•Anas1371•53m ago•0 comments

Ford Enters Battery Storage Business

https://www.fromtheroad.ford.com/us/en/articles/2026/introducing-ford-energy
2•foxfired•53m ago•0 comments

Dehydration's role in learning and memory

https://www.cshl.edu/dehydrations-role-in-learning-and-memory/
2•hhs•57m ago•0 comments

High-Volume VRP Optimization at Amazon Scale on a Raspberry Pi 400

https://medium.com/@martinvizzolini/i-ran-the-amazon-last-mile-routing-challenge-on-a-raspberry-p...
1•pantherolive•58m ago•0 comments

Uber, Meta hinder users’ ability to control data, study says

https://news.bloomberglaw.com/privacy-and-data-security/uber-meta-make-it-hard-for-users-to-stop-...
1•hhs•1h ago•0 comments