frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

ChartNet: A High-Quality Multimodal Dataset for Robust Chart Understanding

https://arxiv.org/abs/2603.27064
1•droidjj•1m ago•0 comments

Big Tech's Looming Capability Crisis

https://hbr.org/2026/06/big-techs-looming-capability-crisis
1•littlexsparkee•2m ago•0 comments

Show HN: Idea-to-build – a Claude brainstorm that pushes back, then builds

https://github.com/winchxyz/idea-to-build
1•winchxyz•4m ago•0 comments

Functional Programming

https://mlochbaum.github.io/BQN/doc/functional.html
1•tosh•5m ago•0 comments

Building for Voice In, Visuals Out

https://allenpike.com/2026/voice-in-visuals-out/
1•surprisetalk•5m ago•0 comments

Tech-favored candidates fell short on California's primary night

https://www.politico.com/news/2026/06/03/tech-favored-candidates-fell-short-on-californias-primar...
1•RickJWagner•5m ago•0 comments

Why Nature Magazine Has Joined TikTok

https://www.nature.com/articles/d41586-026-01723-1
1•bookofjoe•8m ago•0 comments

SpaceX is worth less than half of its $1.75T IPO target, Morningstar says

https://www.cnbc.com/2026/06/03/morningstar-spacex-ipo-target-price-nasdaq.html
5•1vuio0pswjnm7•9m ago•0 comments

Show HN: RNKFlow I wanted HN but live like Digg, it became something much bigger

https://rnkflow.com/
1•JCSlim•11m ago•1 comments

Goldman Sachs CEO says markets in 'greed' mode as AI companies seek billions

https://www.cnbc.com/2026/06/02/goldman-ceo-david-solomon-greed-mode-ai-firms-ipos.html
2•1vuio0pswjnm7•11m ago•0 comments

Introducing Search Generative AI Performance Reports in Google Search Console

https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports
1•thm•14m ago•0 comments

Show HN: VNN – AI news aggregator that verifies every source live

https://vnn.valyrian.tech
1•WouterGlorieux•15m ago•0 comments

Show HN: A self-growing wiki of Andrej Karpathy's public work

https://andrej-karpathy.com/
1•vasa_•16m ago•0 comments

Author

1•victorayomide•16m ago•0 comments

The interface for AI hasn't been invented yet

https://adaptivesoftware.substack.com/p/the-interface-for-ai-hasnt-been-invented
1•iristenteije•16m ago•0 comments

Zero Evidence of AI-Related Job Losses

https://www.apollo.com/wealth/the-daily-spark/zero-evidence-of-ai-related-job-losses
2•RickJWagner•17m ago•0 comments

The sorry state of skill distribution

https://blog.trailofbits.com/2026/06/03/the-sorry-state-of-skill-distribution/
2•ingve•17m ago•0 comments

An interactive map of all of English Wikipedia

https://tobypenner.com/wikigraph/
1•tfpgh•18m ago•0 comments

C++ Special Member Function Guidelines

https://www.foonathan.net/special-member-chart/
1•klaussilveira•18m ago•0 comments

Windsurf is now Devin Desktop

https://devin.ai/blog/windsurf-is-now-devin-desktop/
2•chaz6•20m ago•0 comments

Half a Month of Consolation Writing Advice

https://www.astralcodexten.com/p/half-a-month-of-consolation-writing
1•surprisetalk•20m ago•0 comments

AI Workflows Need Topological Sort

https://arpitbhayani.me/blogs/ai-topological-sort/
1•saikrishnanair•21m ago•1 comments

Show HN: AI Council Toolkit – open-source playbook for AI governance

https://www.aicounciltoolkit.com/
1•RickCraig•21m ago•0 comments

Show HN: A pizza configurator that re-adapts when you change your mind

https://wanderer-flow.de/flows/The-Time-Traveling-Pizza-Configurator-5qdvtptcn0bacbmu9jxbq3kvseua...
1•steampixel•25m ago•0 comments

To Mock a Mockingbird

https://en.wikipedia.org/wiki/To_Mock_a_Mockingbird
1•tosh•26m ago•0 comments

Top AI labs expand research into machine 'consciousness'

https://www.ft.com/content/53e14bcc-788c-4959-b260-7aee363594bc
1•1vuio0pswjnm7•26m ago•0 comments

Why Use Google?

https://bsky.app/profile/annierau.bsky.social/post/3mmx7hsaxw227
1•shaunpud•29m ago•0 comments

KNN early termination in Manticore Search

https://manticoresearch.com/blog/knn-early-termination/
1•snikolaev•30m ago•0 comments

Did Claude Opus 4.8 distill Alibaba's Qwen? Here's what the evidence says

https://blog.kilo.ai/p/did-claude-opus-48-distill-alibabas
8•heymax054•30m ago•4 comments

Light Cone Consistency: I'll Take One Scoop of Each

https://swytchbv.substack.com/p/light-cone-consistency-ill-take-one
1•withinboredom•30m ago•0 comments
Open in hackernews

Ask HN: How do you get into systems programming

13•otherayden•1y ago
Hi all!

I'm looking for recommendations on where to start with learning systems programming. Ideally, I'd like to be able to get to a point where I can make a living doing it, but currently I just want to do fun stuff to build up curiosity around it.

Here's all of the "low-level" stuff that I know so far / imagine being useful. I... - Have enough of an understanding of networking to write a toy HTTP server on top of TCP - Know enough C to write some basic terminal tools + window applications if needed (on Linux) - Love terminal tools like neovim + several core utils - Have dabbled with Arduino/ESP32 & communicating via USB over the serial port with a host pc - Am pretty decent with Python, and have been using it for like 10 years

Some things that I've been curious about in the past - Converting parts of python libraries from pure python to C/C++ bindings for better performance - Writing a terminal based file manager to work with Google Chrome - Actually contributing to chromium (my laptop is a potato though so all of my builds fail)

About me: I'm in my junior year of uni studying CS, and I've been able to make money doing web dev for the past 2 years of my degree. For many reasons including curiosity and the fact that AI makes me feel replaceable doing many frontend + backend tasks, though I'm very curious about getting into lower level programming.

Any help would be greatly appreciated!

Comments

abhisek•1y ago
IMHO there is neither baseline nor “enough” when it comes to learning any programming language for any reasonably complex domain.

As you already know, C/C++ helps with low level software layers that interface with or manage hardware resources. In my experience, Go and Rust are also pretty much used as systems programming languages. For example, I use Go and EBPF to instrument systems calls on Linux kernel.

For me, most of my learning came from solving problems and building for specific use-cases. I think getting into builder mode and creating some cool will definitely accelerate your learning.

sargstuff•1y ago
On software side, building an OS (distribution) from scratch provides a step above bare metal programming[0].

Provides familiarity with different types of things a kernel does via programs/scripts that make use of kernel.

Actually writing binary code for kernel bit can be done under qem[1][2]. aka don't need to buy actual hardware, can use 'software probes' to view what's going on, etc. Don't have to worry about 'crashing'/trashing box running on (just crash the qem software & loosing just what was done in qem session, if didn't save as 'export/save to external location outside of qem session')

"Reading OpenBSD source code daily (blog.tintagel.pl)" from [hn: 3] automated way to review code.

-----

[0] : https://www.linuxfromscratch.org/

[1] : qem for kernel developers - https://www.youtube.com/watch?v=LyWlpuntdU4

[2] : https://www.collabora.com/news-and-blog/blog/2017/01/16/sett...

[hn:3] : https://news.ycombinator.com/item?id=14521386

a_tartaruga•1y ago
It sounds like you're doing the normal sort of things that systems people do to get started. The fact that you have lots of ideas to jump off of is very good. In general just follow all of your ideas down as far as you can to the base systems. Write the TCP implementation for your HTTP server and run it over the internet for example. You've only gone too far when you start worrying about noise and debugging looks like randomly grounding metal things.
theophilec•1y ago
Oxide and Friends has an episode on the topic [1], I found interesting.

[1] : https://oxide-and-friends.transistor.fm/episodes/paths-into-...

noone_youknow•1y ago
Sounds like you’re doing some interesting stuff and have a good, varied skill base to build on.

My advice would be to jump in and start working on kernel level stuff, or writing your own - IMO there’s no finer way to really “get” the low level concepts and the understanding you’ll build will really help with any other system-level stuff you do.

Not to plug, but if you were interested in getting involved in an existing project, my own toy kernel project[0] is at a point where there’s still lots of fun stuff left to do (both design- and implementation-wise) but a lot of the basic “project plumbing” and one-time machine setup stuff that people often get stuck on is already done, and I’d be glad to have the opportunity to share knowledge.

[0] : https://github.com/roscopeco/anos