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Project ideas to appreciate the art of programming

https://codecrafters.io/blog/programming-project-ideas
173•vitaelabitur•4h ago•48 comments

A faster heart for F-Droid

https://f-droid.org/2025/12/30/a-faster-heart-for-f-droid.html
291•kasabali•8h ago•121 comments

FediMeteo: A €4 FreeBSD VPS Became a Global Weather Service

https://it-notes.dragas.net/2025/02/26/fedimeteo-how-a-tiny-freebsd-vps-became-a-global-weather-s...
232•birdculture•7h ago•56 comments

Quality of drinking water varies significantly by airline

https://foodmedcenter.org/2026-center-for-food-as-medicine-longevity-airline-water-study/
56•azinman2•3h ago•22 comments

Show HN: 22 GB of Hacker News in SQLite

https://hackerbook.dosaygo.com
352•keepamovin•10h ago•112 comments

A Vulnerability in Libsodium

https://00f.net/2025/12/30/libsodium-vulnerability/
220•raggi•9h ago•25 comments

Zpdf: PDF text extraction in Zig – 5x faster than MuPDF

https://github.com/Lulzx/zpdf
128•lulzx•7h ago•47 comments

OpenAI's cash burn will be one of the big bubble questions of 2026

https://www.economist.com/leaders/2025/12/30/openais-cash-burn-will-be-one-of-the-big-bubble-ques...
208•1vuio0pswjnm7•5h ago•276 comments

L1TF Reloaded

https://github.com/ThijsRay/l1tf_reloaded
3•Fnoord•34m ago•0 comments

Electrolysis can solve one of our biggest contamination problems

https://ethz.ch/en/news-and-events/eth-news/news/2025/11/electrolysis-can-solve-one-of-our-bigges...
129•PaulHoule•8h ago•33 comments

Honey's Dieselgate: Detecting and tricking testers

https://vptdigital.com/blog/honey-detecting-testers/
126•AkshatJ27•5h ago•25 comments

Loss32: Let's Build a Win32/Linux

https://loss32.org/
215•akka47•1d ago•310 comments

Mitsubishi Diatone D-160 (1985)

https://audio-database.com/MITSUBISHI-DIATONE/diatonesp/d-160-e.html
22•anigbrowl•2d ago•12 comments

Toro: Deploy Applications as Unikernels

https://github.com/torokernel/torokernel
119•ignoramous•9h ago•105 comments

Non-Zero-Sum Games

https://nonzerosum.games/
334•8organicbits•15h ago•171 comments

Readings in Database Systems (5th Edition)

http://www.redbook.io/
3•teleforce•1h ago•1 comments

Escaping containment: A security analysis of FreeBSD jails [video]

https://media.ccc.de/v/39c3-escaping-containment-a-security-analysis-of-freebsd-jails
60•todsacerdoti•7h ago•1 comments

Reverse Engineering a Mysterious UDP Stream in My Hotel (2016)

https://www.gkbrk.com/hotel-music
172•bayesnet•1w ago•22 comments

Show HN: RAMBnB.xyz P2P marketplace for RAM rentals

https://www.rambnb.xyz
9•olivierroy•3h ago•1 comments

Animated AI

https://animatedai.github.io/
4•frozenseven•4d ago•0 comments

Professional software developers don't vibe, they control

https://arxiv.org/abs/2512.14012
115•dpflan•7h ago•153 comments

The British empire's resilient subsea telegraph network

https://subseacables.blogspot.com/2025/12/the-british-empires-resilient-subsea.html
165•giuliomagnifico•13h ago•42 comments

Times New American: A Tale of Two Fonts

https://hsu.cy/2025/12/times-new-american/
224•firexcy•14h ago•135 comments

Approachable Swift Concurrency

https://fuckingapproachableswiftconcurrency.com/en/
161•wrxd•14h ago•77 comments

Igniting the GPU: From Kernel Plumbing to 3D Rendering on RISC-V

https://mwilczynski.dev/posts/riscv-gpu-zink/
74•michalwilczynsk•13h ago•8 comments

Go away Python

https://lorentz.app/blog-item.html?id=go-shebang
354•baalimago•18h ago•332 comments

Everything as code: How we manage our company in one monorepo

https://www.kasava.dev/blog/everything-as-code-monorepo
182•benbeingbin•7h ago•167 comments

What Happened to Abit Motherboards

https://dfarq.homeip.net/what-happened-to-abit-motherboards/
92•zdw•12h ago•65 comments

Hive (YC S14) Is Hiring a Staff Software Engineer (Data Systems)

https://jobs.ashbyhq.com/hive.co/cb0dc490-0e32-4734-8d91-8b56a31ed497
1•patman_h•12h ago

Five Years of Tinygrad

https://geohot.github.io//blog/jekyll/update/2025/12/29/five-years-of-tinygrad.html
187•iyaja•1d ago•86 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•7mo ago

Comments

nmstoker•7mo ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•7mo ago
The most impact will be achieved on java standard library, like Streams (cited in the article). Right now, although their behavior is well stablished and they are mostly used in the "factory" mode (no user subclassing or implementation of the stream api), they cannot be shipped with the JVM already compiled.

If you can find a way (which this JEP is one way) to make the bulk of the java standard api AOT compiled, then java programs will be faster (much faster).

Also, the JVM is already an engine marvel (java JIT code is fast as hell), but this will make java programs much nimbler.

rzwitserloot•7mo ago
I assume you meant with the AOT argument: "The initial few minutes of a JVM's existence, which would be the entire lifetime if you're using java the way you use e.g. your average executable in your `/usr/bin` dir".

Saying "java programs will be faster" is perhaps a bit misleading to those who don't know how java works. This will speed up only the first moments of a JVM execution, nothing more. Or, I misread the JEP, in which case I'd owe you one if you can explain what I missed.

As a java developer this will be lightly convenient when developing. We go through JVM warmup a lot more than your average user ever does. Personally I think I'm on the low end (I like debuggers, and I don't use TDD-style "what I work on is dictated by a unit test run and thus I rerun the tests a lot during development". But still it excites me somewhat, so that should mean your average java dev should be excited quite a bit by this.

I am not all that experienced in it, but I gather that lambda-style java deployments (self contained simple apps that run on demand and could in theory be operating on a 'lets boot up a JVM to run this tiny job which won't last more than half a second') have looong ago moved on from actually booting JVMs for every job, such as by using Graal, an existing AOT tool. But if you weren't using those, hoo boy. This gives every java app 'graal level bootup' for as far as I can tell effectively free (a smidge of disk space to store the profile).

For the kinds of java deployments I'm more familiar with (a server that boots as the box boots and stays running until a reboot is needed to update deps or the app itself), this probably won't cause a noticable performance boost.

indolering•7mo ago
I thought Graal was going to slowly replace HotSpot?
vips7L•7mo ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•7mo ago
in addition to storing profiles, what about caching some native code? so that we can eliminate the JIT overhead for hot functions

EDIT: they describe this in their "Alternative" section as future work

tikkabhuna•7mo ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•7mo ago
Faint echoes of the very first optimizing compiler, Fortran I, which did a monte carlo simulation of the flow graph to attempt to detect hot spots in the flow graph so it could allocate registers to inner loops first.
indolering•7mo ago
OpenJ9 has had some of this type of functionality for a while now. Glad to see the difference between interpreted and compiled languages continue to get fuzzier.
pjmlp•7mo ago
Even longer than that, OpenJ9 AOT capabilities, and JIT cache, go back to the Websphere Real-Time JVM, whose branding had nothing to do with J2EE application server.

Most documentation is gone from the Internet, I was able to dig one of the old manuals,

https://ftpmirror.your.org/pub/misc/ftp.software.ibm.com/sof...

These kind of features have been available in commercial JVMs like those for a while now, what the community is finally getting are free beer versions of such capabilities.