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Rendering pull requests in the GitHub Copilot app

https://github.blog/engineering/user-experience/rendering-huge-pull-requests-in-the-github-copilo...
1•iamsyr•7m ago•0 comments

Australia says OpenAI agent hacked into government website

https://www.channelnewsasia.com/world/australia-openai-agent-breach-government-portal-6406411
1•doppp•7m ago•0 comments

Pentagon Investigating How F-35 Fighter Jet Parts Bound for US Were Diverted

https://www.military.com/pentagon-investigating-how-f-35-fighter-jet-parts-bound-for-us-were-dive...
1•harry_nutsachs•7m ago•1 comments

AP: Avoid language that gives [AI] human characteristics

https://twitter.com/APStylebook/status/2102807962364383502
3•jaredwiener•11m ago•0 comments

Qubits on NonQuantum HW Tested

https://laurinseclab.substack.com/p/breaking-news-makrogravintelligence
2•Rniznan•11m ago•0 comments

Liquid Network Security Incident Assessment

https://blog.blockstream.com/liquid-network-security-incident-assessment/
2•greyface-•12m ago•0 comments

FLAWED's Flaws and What This Means for Industry Research

https://suhacker.ai/p/flaweds-flaws-and-what-this-means-for-industry-research/
5•tob_scott_a•14m ago•0 comments

Geminigravit Core: De la teoría estática

https://gemini.google.com/app/3952a805cd6ad7a3
2•jccrcabello•16m ago•0 comments

We used an AI agent to fix an open-source bug. Someone asked to ban us

https://github.com/saulpw/visidata/pull/3229
10•maxcr•16m ago•3 comments

Shadow roots, explained with live examples

https://tools.simonwillison.net/shadow-roots
2•vismit2000•17m ago•0 comments

Show HN: Does per-step reasoning effort save money in Claude Code?

https://github.com/ifoster01/jev-effort
2•ifoster41901•23m ago•0 comments

Show HN: ChaosTree – Cache-Aware Java NavigableMap and NavigableSet Library

https://github.com/Chaos-vy/ChaosTree
1•chaos_vy•23m ago•0 comments

Show HN: Posting Puzzle – A Game Made of Post's Correspondence Problem

https://mametter.itch.io/posting-puzzle
1•mametter•24m ago•1 comments

AI startups with hyper ARR growth – what's happening inside these companies?

1•d675•26m ago•0 comments

Nesbox: A fast MicroVM with GPU sharing

https://github.com/nestrilabs/nesbox
1•WanjohiRyan•26m ago•0 comments

Using my transit card data to create a year in review experience

https://cailinpitt.com/blog/2026/9/1/chicago-transit-authority-wrapped
1•classictraffic•28m ago•0 comments

Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

https://github.com/nestrilabs/virtio-nvgpu
2•WanjohiRyan•28m ago•0 comments

Scientists build most accurate atomic clock

https://phys.org/news/2026-09-scientists-world-accurate-atomic-clock.html
1•wglb•31m ago•1 comments

AI Has Cracked the Most Diabolical Problems in Math. Why Can't It Solve Chess?

https://www.wsj.com/tech/ai/chess-artificial-intelligence-ai-e969a830
1•sonabinu•31m ago•0 comments

lm-detector: Model fingerprint detection on Web and CLI

https://github.com/Ikaleio/lm-detector/
1•csmantle•34m ago•0 comments

SnakeCharmer: Fuzzing Harness Generation for Pure and Hybrid Python Libraries [pdf]

https://futures.cs.utah.edu/papers/26FSE-b.pdf
2•luu•41m ago•0 comments

Making my vibe-coded app best as possible (I am perfectionist), umm for 0 users

1•arpanghoshal•42m ago•0 comments

JEV Engineering for Coding Agents

https://drive.google.com/file/d/17h982xvsL3E7b80iGmOCfKp9qTOW9ohv/view?pli=1
2•sonabinu•44m ago•0 comments

Show HN: An open-source manufacturing ERP/MES/QMS

https://carbon.ms/self-hosted
3•barbinbrad•45m ago•0 comments

Hard Startups (2020)

https://blog.samaltman.com/hard-startups
1•alentodorov•47m ago•0 comments

OnPanda – Open-source token inspection&data annotation tool from Step 5 Preview

https://twitter.com/StepFun_ai/status/2102454115473510643
3•WavyPeng•47m ago•0 comments

Feds Target AI Critics as "Foreign Agents"

https://www.kenklippenstein.com/p/feds-think-ai-critics-are-foreign
3•nmeagent•49m ago•1 comments

Arumayi

https://arumayi.com/
1•samyak007•51m ago•0 comments

Calculating atmospheric drag on satellites for a Cubesat [pdf]

https://www.osti.gov/servlets/purl/1124870
1•walrus01•56m ago•0 comments

ChatGPT DIL (Declarative Interface Language)

https://twitter.com/oranlooney/status/2102918945858576750
1•olooney•57m ago•0 comments
Open in hackernews

CheerpJ 4.0: WebAssembly JVM for the browser, now with Java 11 and JNI support

https://labs.leaningtech.com/blog/cheerpj-4.0
9•apignotti•1y ago

Comments

palata•1y ago
That's technically pretty cool, but it makes me wonder:

In order to run a Java Desktop app, I need to install a JVM first (or the Desktop app can embed it, I guess that's what IntelliJ does, right?).

Now if I run CheerpJ, it means that I essentially download a JVM when I load the page (every time), and run code in that JVM. But at this point, why not downloading a Desktop app?

It feels like we are going around, shipping simple web pages together with full browsers and calling that "desktop apps" (e.g. ElectronJS), then shipping complete JVMs as web pages and calling that a "web page"... why don't we just ship simple webpages through browsers and complex desktop apps through package managers?

apignotti•1y ago
With CheerpJ you are downloading the subset of the JVM that you need, and actually only once thanks to the standard browser cache.

There are many reasons why shipping via the browser is a better choice compared to shipping desktop apps. The main 3 in my opinion are:

1. Distribution: Give your user a link and the app will start 2. Isolation: The user can have confidence the app won't read his personal files. 3. Cross-platform: Every OS and every device, for real this time

yuri91•1y ago
For reference, when loading https://browsercraft.cheerpj.com for the first time (up to loading a world), my browser downloaded ~32MB.

The second time almost nothing.

jeffreportmill1•1y ago
And here's an entire Java IDE with CheerpJ that downloads less than 15mb:

https://reportmill.com/SnapCode

palata•1y ago
> With CheerpJ you are downloading the subset of the JVM that you need

That's interesting! May I ask how it works? Does that also happen with e.g. IntelliJ?

> Every OS and every device, for real this time

Doesn't the JVM run everywhere in 2025?

apignotti•1y ago
> That's interesting! May I ask how it works? Does that also happen with e.g. IntelliJ?

Byte ranges request do most of the heavy lifting, data is loading exclusively on-demand.

> Doesn't the JVM run everywhere in 2025?

What about iOS? Android has Java, but can't run desktop Java apps. Chromebooks also have limits.

palata•1y ago
> Byte ranges request do most of the heavy lifting, data is loading exclusively on-demand.

I don't understand what that means. The JVM is supposed to interpret and sometimes compile bytecode, right? How can it be done with only a fraction of the JVM?

Or are you saying that it is constantly communicating with a server that does the work?

apignotti•1y ago
The VM itself is very small, it's the OpenJDK runtime that is quite sizeable. Byte ranges are used to only download the parts of the runtime (in terms of bytecode) that are required.

There is no server-side computation. CheerpJ runs code exclusively client-side.

palata•1y ago
But you said before that you only download a subset of the JVM, right? Or did you mean a subset of the JDK, including the JVM and... I guess other stuff?
apignotti•1y ago
I meant the JVM in an extended sense: the combination of the bytecode parsing, JIT compiler and OpenJDK runtime. You are right, I should have been more precise and refer to only the runtime part, which is by far the most significant.
palata•1y ago
I was not trying to prove you wrong, I'm just genuinely interested :-). I don't see a lot of articles about the JVM these days.