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How NASA built Artemis II’s fault-tolerant computer

https://cacm.acm.org/news/how-nasa-built-artemis-iis-fault-tolerant-computer/
166•speckx•13h ago•53 comments

Native Instant Space Switching on macOS

https://arhan.sh/blog/native-instant-space-switching-on-macos/
373•PaulHoule•8h ago•186 comments

We've raised $17M to build what comes after Git

https://blog.gitbutler.com/series-a
29•ellieh•2h ago•32 comments

Generative art over the years

https://blog.veitheller.de/Generative_art_over_the_years.html
49•evakhoury•2d ago•16 comments

Apple's New iPhone Update Is Restricting Internet Freedom in the UK

https://bigbrotherwatch.org.uk/blog/apples-new-iphone-update-is-restricting-internet-freedom-in-t...
66•josephcsible•3h ago•28 comments

RAM Has a Design Flaw from 1966. I Bypassed It [video]

https://www.youtube.com/watch?v=KKbgulTp3FE
78•surprisetalk•2d ago•5 comments

Charcuterie – Visual similarity Unicode explorer

https://charcuterie.elastiq.ch/
164•rickcarlino•8h ago•28 comments

PicoZ80 – Drop-In Z80 Replacement

https://eaw.app/picoz80/
165•rickcarlino•9h ago•28 comments

Reverse engineering Gemini's SynthID detection

https://github.com/aloshdenny/reverse-SynthID
122•_tk_•8h ago•45 comments

The Raft Consensus Algorithm Explained Through "Mean Girls"

https://www.cockroachlabs.com/blog/raft-is-so-fetch/
4•vermilingua•1h ago•0 comments

Unfolder for Mac – A 3D model unfolding tool for creating papercraft

https://www.unfolder.app/
169•codazoda•11h ago•34 comments

Moving from WordPress to Jekyll (and static site generators in general)

https://www.demandsphere.com/blog/rebuilding-demandsphere-with-jekyll-and-claude-code/
58•rgrieselhuber•7h ago•27 comments

Principles of Mechanical Sympathy

https://martinfowler.com/articles/mechanical-sympathy-principles.html
8•zdw•2d ago•0 comments

Research-Driven Agents: When an agent reads before it codes

https://blog.skypilot.co/research-driven-agents/
148•hopechong•11h ago•48 comments

Hegel, a universal property-based testing protocol and family of PBT libraries

https://hegel.dev
91•PaulHoule•9h ago•30 comments

Many African families spend fortunes burying their dead

https://davidoks.blog/p/how-funerals-keep-africa-poor
159•powera•6h ago•138 comments

Old laptops in a colo as low cost servers

https://colaptop.pages.dev/
178•argentum47•9h ago•100 comments

How Close Is Too Close? Applying Fluid Dynamics Research Methods to PC Cooling

https://www.lttlabs.com/articles/2026/04/04/how-close-is-too-close-applying-fundamental-fluid-dyn...
21•LabsLucas•4d ago•4 comments

Microsoft PhotoDNA scanning problem

https://www.elevenforum.com/t/microsoft-photodna-scanning-problem-it-is-comical-now.45961/
89•darkzek•3h ago•36 comments

Show HN: I built a Cargo-like build tool for C/C++

https://github.com/randerson112/craft
130•randerson_112•12h ago•113 comments

A WebGPU implementation of Augmented Vertex Block Descent

https://github.com/jure/webphysics
132•juretriglav•16h ago•15 comments

Show HN: Druids – Build your own software factory

https://github.com/fulcrumresearch/druids
35•etherio•1d ago•6 comments

Microsoft is employing dark patterns to goad users into paying for storage?

https://lzon.ca/posts/other/microsoft-user-abuse/
259•jpmitchell•7h ago•142 comments

EFF is leaving X

https://www.eff.org/deeplinks/2026/04/eff-leaving-x
1204•gregsadetsky•11h ago•1020 comments

LittleSnitch for Linux

https://obdev.at/products/littlesnitch-linux/index.html
1284•pluc•1d ago•418 comments

The Training Example Lie Bracket

https://pbement.com/posts/lie_brackets/
23•pb1729•6h ago•11 comments

Launch HN: Relvy (YC F24) – On-call runbooks, automated

https://www.relvy.ai
41•behat•16h ago•22 comments

Haunted Paper Toys

http://ravensblight.com/papertoys.html
233•exvi•3d ago•29 comments

Kagi Product Tips – Customize Your Search Results with URL Redirects

https://blog.kagi.com/tips/redirects
16•treetalker•6h ago•0 comments

Show HN: Rust based eBook library for Python, with MIT license

https://github.com/arc53/fast-ebook
10•larry-the-agent•6h ago•0 comments
Open in hackernews

Fixrleak: Fixing Java Resource Leaks with GenAI

https://www.uber.com/blog/fixrleak-fixing-java-resource-leaks-with-genai/
17•carimura•11mo ago

Comments

stevoski•10mo ago
> “Resource leaks, where resources like files, database connections, or streams aren’t properly released after use, are a persistent issue in Java applications”

This was true maybe back in 2005. Java has had try-with-resources for a loooong time. As I see it this has been the dominant idiom for ages, for handling resources that might leak.

okr•10mo ago
People tend to forget. Stream-API is a good candidate, that people like to not consider for leakage. If you don't own your stream, if you do not definitly know, that your stream comes from a collection, then ya better close it with a try-block.
bob778•10mo ago
How much effort was spent automating this to fix 112 instances across Uber’s code base? I assume code reviews would catch any new issues so this seems like overkill for a small one-off task?
hawk_•10mo ago
Spotbugs or checkstyle etc... would catch these. What does AI add here?
xyst•10mo ago
It gives marketing team at Uber to say "wE uSe AI hErE!!1". C-levels approve since anything AI gets a nice pump.

Engineering wise. This adds nothing. It’s an absolute waste of compute and energy to run this through LLMs

sigotirandolas•10mo ago
> This analysis ensures that FixrLeak skips functions where resources are passed as parameters, returned, or stored in fields, as these resources often outlive the function’s scope.

> FixrLeak delivers precise, reliable fixes while leaving more complex cases for advanced analysis at the caller level.

In other words, this will only fix trivial leaks, which are best seen as a language design issue and can be fixed by RAII, reference counting, etc.

It won't fix the more insidious leaks like `UNBOUNDED_QUEUE.add(item)` that are more likely to pass through code review in the first place.

xyst•10mo ago
Using AI when a static scanner like SonarQube easily picks up these types of resource leaks, especially in Java.

Peak waste.

What’s next?

"Get rid of your GitHub dependabot alerts and replace it with my shitty ChatGPT wrapper”

rvz•10mo ago
> Using AI when a static scanner like SonarQube easily picks up these types of resource leaks, especially in Java.

Exactly.

It's very disappointing to see that Uber engineers would rather trust an LLM to that claims to spot these issues when a battle-tested scanner such as SonarQube would have caught this in the first place.

The LLM hype-train is almost just as bad as the JavaScript hype train in the 2010s where some of the worst technologies are used on everything.

rvz•10mo ago
Why exactly do you need LLMs for this when efficient alternatives like SonarQube or checkstyle already do this without the expensive waste LLMs create?

This adds little to no technical advantage over existing solutions what so ever for this particular use case.

yahoozoo•10mo ago
stupid af
Traubenfuchs•10mo ago
So you tell me those 200-600k software engineers that can easily solve leetcode hard are so incompetent they missed using try-with-resources at such scale, they needed to introduce new AI tooling to fix it?

Hey Uber, I am from the EU, I usually can‘t even solve leetcode medium but I will write you scalable, spotless Java for a third of the salary.

Our industry and its economics are a joke.

hello_moto•10mo ago
So you write bug-free scalable code 100% in any jobs you ever worked for?

I guess we don’t need QA and Dev/Staging environment

rad_gruchalski•10mo ago
Can the QA team? How does the dev/staging environment help writing less buggy code?
rad_gruchalski•10mo ago
But can you leetcode heh.
TYMorningCoffee•10mo ago
A lot of commenters point out that there already are many established static checkers that do this. That is not what Uber attempts here.

Uber is not proposing a static checker. They even use sonar qube in their architecture. They propose using an LLM to resolve the leak detected by sonar qube.