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Show HN: Kage – Shadow any website to a single binary for offline viewing

https://github.com/tamnd/kage
304•tamnd•4h ago•62 comments

Zinnia: A modular 64-bit Unix-like kernel written in Rust

https://zinnia-os.org/
43•mrunix•1h ago•2 comments

Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model

https://github.com/nex-agi/Nex-N2/issues/4
234•unrvl22•6h ago•128 comments

Firewood Splitting Simulator

https://screen.toys/firewood/
545•memalign•4d ago•181 comments

Chaosnet (1981)

https://tumbleweed.nu/r/lm-3/uv/amber.html
45•RGBCube•3h ago•5 comments

Yserver: A modern X11 server written in Rust

https://github.com/joske/yserver
76•Venn1•3h ago•53 comments

Show HN: Trace – Offline Mac meeting transcripts you can flag mid-call

https://traceapp.info
60•AG342•1d ago•18 comments

Segmented type appreciation corner (2018)

https://aresluna.org/segmented-type/
52•unexpectedVCR•3d ago•11 comments

Ask HN: What are you working on? (June 2026)

125•david927•6h ago•460 comments

Why Is Claude Turning into an a**Hole?

https://bramcohen.com/p/why-is-claude-turning-into-an-asshole
4•drob518•15m ago•0 comments

Caddy compatibility for zeroserve: 3x throughput and 70% lower latency

https://su3.io/posts/zeroserve-caddy-compat
138•losfair•8h ago•43 comments

Formal methods and the future of programming

https://blog.janestreet.com/formal-methods-at-jane-street-index/?from_theconsensus=1
152•eatonphil•9h ago•50 comments

Perlisisms (1982)

https://www.cs.yale.edu/homes/perlis-alan/quotes.html
82•tosh•7h ago•38 comments

TorchCodec 0.14: HDR Video Decoding for CPU and CUDA, and Fast Wav Decoder

https://github.com/meta-pytorch/torchcodec/releases/tag/v0.14.0
5•scott_s•4d ago•1 comments

The only scalable delete in Postgres is DROP TABLE

https://planetscale.com/blog/the-only-scalable-delete
108•hollylawly•3d ago•44 comments

FarOutCompany

https://faroutcompany.com/
90•bookofjoe•8h ago•15 comments

Lisp's Influence on Ruby

https://blog.tacoda.dev/lisps-influence-on-ruby-6a54f1a7740e
202•tacoda•3d ago•46 comments

Inverse Rubric Optimization: A testbed for agent science

https://fulcrum.inc/2026/06/09/inverse-rubric-optimization.html
17•etherio•3d ago•0 comments

Abu Fanous

https://en.wikipedia.org/wiki/Abu_Fanous
28•joebig•1h ago•4 comments

I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

222•iliashad•7h ago•45 comments

The Birth and Death of JavaScript (2014)

https://www.destroyallsoftware.com/talks/the-birth-and-death-of-javascript
197•subset•9h ago•119 comments

The first game engine for robotics

https://luckyrobots.com/
22•arnejenssen•2d ago•11 comments

Not everyone is using AI for everything

https://gabrielweinberg.com/p/people-are-consuming-ai-like-they
387•yegg•7h ago•418 comments

Show HN: Discover Wikipedia articles popular on Hacker News

https://www.orangecrumbs.com/
21•octopus143•4h ago•3 comments

Linux 7.1

https://lore.kernel.org/lkml/CAHk-=wi4BF4bMhZNZ1tqs+FFV4OuZRe3ZqdWB+LxRLmRweUzQw@mail.gmail.com/T/#u
190•berlianta•6h ago•67 comments

How to earn a billion dollars

https://paulgraham.com/earn.html
375•kingstoned•10h ago•1131 comments

Vibe Coder vs. Software Engineer

https://yusufaytas.com/vibe-coder-vs-software-engineer
35•yusufaytas•2h ago•8 comments

Lattice Triangles Are Rare

https://axiommath.ai/territory/the-reveal
6•skogstokig•3d ago•1 comments

Quivers: A year of linear algebra by drawing arrows

https://lisyarus.github.io/blog/posts/quivers-a-year-of-linear-algebra-by-drawing-arrows.html
38•ibobev•4d ago•6 comments

Global density and biomass of arbuscular mycorrhizal fungal networks

https://www.science.org/doi/10.1126/science.adu4373
37•zdw•1d ago•4 comments
Open in hackernews

JEP 515: Ahead-of-Time Method Profiling

https://openjdk.org/jeps/515
101•cempaka•1y ago

Comments

nmstoker•1y ago
Would be interesting if the Faster Python team considered this approach for Python (although maybe they already did?)
motoboi•1y 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•1y 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•1y ago
I thought Graal was going to slowly replace HotSpot?
vips7L•1y ago
There was talk of the graal jit replacing C2, but native image will never replace HotSpot.
mshockwave•1y 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•1y ago
Is this similar/the same as Azul Zing’s ReadyNow feature?
rst•1y 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•1y 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•1y 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.