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Commodore 64 released September 1, 1982

https://dfarq.homeip.net/commodore-64-released-september-1-1982/
65•giuliomagnifico•1h ago•8 comments

Claude Fable 5.1 and Claude Mythos 5.1

https://www.anthropic.com/claude-fable-and-mythos-5-1
1259•denysvitali•16h ago•1174 comments

The Emergent Symbolic Structure of Artificial Neural Networks

https://arxiv.org/abs/2608.29530
152•schmuhblaster•6h ago•48 comments

How accurate have Ed Zitron's AI skeptic predictions been?

https://danluu.com/zitron/
715•jatins•15h ago•789 comments

Fine, I'll build my own text editor

https://dbushell.com/2026/09/01/text-editor/
130•Alephinitesimal•17h ago•117 comments

FBI Probes Service Selling 153M+ Drivers Licenses

https://krebsonsecurity.com/2026/09/fbi-probes-service-selling-153m-drivers-licenses/
226•tatersolid•11h ago•95 comments

Introducing Ad Blocker for Firefox on iOS

https://blog.mozilla.org/en/firefox/ad-blocker-on-ios/
480•HieronymusBosch•20h ago•163 comments

WebFPGA

https://webfpga.io/
81•gurjeet•6h ago•32 comments

Telli (YC F24) is hiring engineers and designers [Berlin, on-site]

https://careers.telli.com/
1•sebselassie•1h ago

Sonic Pi

https://sonic-pi.net/
168•Bluestein•4d ago•34 comments

Show HN: Weedout – Safari extension that hides YouTube AI-labeled videos

https://masteranza.github.io/weedout/
146•masteranza•12h ago•65 comments

My local model setup on an M4 Pro Mac Mini

https://lws.io/blog/my-local-model-setup/
211•raybb•11h ago•126 comments

Open Battery Information

https://github.com/mnh-jansson/open-battery-information
4•toomuchtodo•3d ago•1 comments

The efficient frontier of LLM inference

https://www.baseten.co/blog/the-efficient-frontier-of-llm-inference/
124•philipkiely•10h ago•31 comments

Launch HN: Nori Robotics (YC S26) – A low-cost humanoid robot for development

https://www.norirobotics.com/
173•AntonioLi•16h ago•52 comments

Ambient CSS v3 – Blender meets CSS

https://ambientcss.vercel.app/
276•kikkupico•18h ago•82 comments

Movie Scene Map – 13,312 films, series, games, anime and manga

https://moviescenemap.com/
259•Flightmussy•17h ago•38 comments

Path to Astra: critical capabilities and frontier safeguards

https://openai.com/index/path-to-astra/
160•jithinraj•14h ago•69 comments

The ChatGPT/Codex app bundles a full copy of LibreOffice

https://simonwillison.net/2026/Sep/1/codex-libreoffice/
416•timpera•14h ago•190 comments

True Rate of Unemployment

https://www.lisep.org/tru
236•ptrhvns•8h ago•196 comments

The creator of Jujutsu has joined ERSC

https://ersc.io/blog/martin-joins-ersc
238•steveklabnik•16h ago•176 comments

Refurbishing a Tektronix TDS7104 Oscilloscope

https://tomverbeure.github.io/2026/08/23/Tektronix-TDS7104-Refurbishing.html
127•jwise0•14h ago•55 comments

Show HN: HN Match Maker – Matching "Who Wants to Be Hired?" With "Who's Hiring?"

https://hnmatchmaker.com/
91•all2•13h ago•40 comments

How bicycle coaster brakes work (2018)

https://www.dougbarnesauthor.com/2018/06/how-bicycle-coaster-brakes-work.html
65•Vedor•4d ago•54 comments

Ask HN: Who is hiring? (September 2026)

218•whoishiring•19h ago•244 comments

Show HN: Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s

https://github.com/carloslfu/slotstream
213•carloslfu•17h ago•97 comments

A Genealogy of Freudenthal's Lincos

https://www.shellsandpebbles.com/2026/01/19/a-genealogy-of-freudenthals-lincos-part-i-looking-up-...
10•akkartik•1d ago•1 comments

Forgotten History of Small Nuclear Reactors (2015)

https://spectrum.ieee.org/the-forgotten-history-of-small-nuclear-reactors
42•derriz•4d ago•28 comments

Building an interactive instrument for a one-of-a-kind festival

https://benholmen.com/blog/halfmoon-chimes/
55•tjwds•4d ago•5 comments

Top Web Design Styles of 1993

https://contemporary-home-computing.org/prof-dr-style/
49•luu•1d ago•9 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•1y ago

Comments

stevoski•1y 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•1y 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•1y 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_•1y ago
Spotbugs or checkstyle etc... would catch these. What does AI add here?
xyst•1y 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•1y 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•1y 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•1y 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•1y 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•1y ago
stupid af
Traubenfuchs•1y 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•1y 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•1y ago
Can the QA team? How does the dev/staging environment help writing less buggy code?
rad_gruchalski•1y ago
But can you leetcode heh.
TYMorningCoffee•1y 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.