frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Hackers heat French supermarket fridges, sparking fires and food losses

https://www.reuters.com/business/retail-consumer/french-supermarket-chain-intermarche-hit-by-cybe...
1•salaryman777•1m ago•0 comments

What we stopped paying for after agents started writing our code

https://amaiko.ai/engineering/what-we-stopped-paying-for
1•mordras•1m ago•0 comments

Hanami, Why?: Introductions

https://aaronmallen.me/writing/hanami-why-introductions
1•birdculture•1m ago•0 comments

Why people have moved away from using /proc for everything

https://utcc.utoronto.ca/~cks/space/blog/unix/ProcWhyAlternativesToo
1•speckx•1m ago•0 comments

Modern Python Skill

https://github.com/353solutions/modern-python
1•tebeka•2m ago•0 comments

Are There Better Languages for Programming with LLMs?

https://akitaonrails.com/en/2026/10/11/are-there-better-languages-for-programming-with-llms/
1•arto•4m ago•0 comments

UniFi Network 11

https://blog.ui.com/article/introducing-unifi-network-11
2•janandonly•7m ago•0 comments

Why aren't AI companies being charged for hacking?

https://mortoray.com/why-arent-ai-companies-being-charged-for-hacking/
53•ingve•7m ago•13 comments

Climate Finder

https://weather.theojaffee.net
2•NaOH•8m ago•0 comments

The AI Casino

https://mandrade.me/blog/the-ai-casino/
1•mandrade2•9m ago•0 comments

Show HN: I put real mortgage rules in a Toronto SIM and nobody could buy a home

https://tdotlife.app/
1•kyleclouthier•9m ago•0 comments

Show HN: I wrote a KSP-lite game for my 7 year old

https://store.steampowered.com/app/2116950/Tiny_Solar_System/
1•last_one_in•10m ago•0 comments

Show HN: Baa – a menu bar app that frees RAM your AI agents forgot about

https://github.com/selviarora/baa
1•selviarora•10m ago•0 comments

AI Company Lets Cops Pinpoint Specific Houses Based on a Single Interior Photo

https://www.404media.co/ai-company-lets-cops-pinpoint-specific-houses-based-on-a-single-interior-...
2•gumby•12m ago•0 comments

Ario an AI-Readable Repository Snapshot for Auditable AI Memory Identity Evidenc

https://zenodo.org/records/23305805
1•xx47•13m ago•0 comments

Microagi Reached $100M Revenue Run Rate in Six Months

https://www.humanoidsdaily.com/news/microagi-100-million-revenue-run-rate-six-months
1•bogdiyan•13m ago•0 comments

Deep dive into Azure Maia 300 architecture

https://azure.microsoft.com/en-us/blog/deep-dive-into-azure-maia-300-architecture/
2•azhenley•14m ago•0 comments

Precious Linux Binaries Run on FreeBSD

https://vivianvoss.net/blog/linux-binaries
1•speckx•14m ago•0 comments

The Yandex attack in Sasovo: consequences and what's next [Ukrainian]

https://blognot.co/ataka-na-yandeks-v-sasovo/
2•e12e•15m ago•0 comments

Ubuntu 26.10 Will Have a Rust-Based GnuPG Replacement

https://itsfoss.com/news/ubuntu-sequoia-pgp-inclusion/
1•throw0101a•15m ago•0 comments

Is Universal Basic Income the Answer to A.I.-Fueled Job Losses?

https://www.nytimes.com/2026/10/12/technology/universal-basic-income-silicon-valley.html
3•gumby•16m ago•1 comments

Is Hair on Your Head "Personal Property" for Purposes of Robbery Law?

https://reason.com/volokh/2026/10/09/is-hair-on-your-head-personal-property-for-purposes-of-robbe...
1•pcaharrier•16m ago•1 comments

Maybe a better way to track the release history of a Git repo

https://blog.plover.com/prog/git/history-proposal.html
1•evakhoury•18m ago•0 comments

DHP – agent work that survives kill -9 (v1.3)

https://github.com/SIDDARTHAREDDY8/dhp
1•siddarthareddy8•20m ago•0 comments

Repurposing a 15-Year-Old MacBook Air

https://tylersticka.com/journal/repurposing-a-15-year-old-macbook-air/
1•surprisetalk•20m ago•0 comments

Xcode replacement – Build and deploy iOS apps on Linux, Windows, macOS

https://github.com/xtool-org/xtool
1•mococa•22m ago•0 comments

Never Paid for Subscription Again

https://buyonce.dev/
1•jairojair•23m ago•0 comments

JevBench: Benchmarking decision models (Clef, pplx-decider and 15 more)

https://leanmcp.github.io/jevbench/
3•paidev•23m ago•0 comments

An Unmade Film Shaped Hayao Miyazaki

https://animationobsessive.substack.com/p/an-unmade-film-shaped-hayao-miyazaki
4•vinhnx•25m ago•0 comments

Fixing Yum Indexing on Sonatype Nexus and the Non-Open-Source Upgrade

https://sk500.online/tech/fixing-yum-indexing-on-sonatype-nexus-and-the-non-opensource-upgrade/
1•airhangerf15•26m ago•0 comments
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 ??