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Astra for Law

https://openai.com/index/astra-for-law/
175•vertigoruntime•2h ago•162 comments

Bend – A language that blocks AI mistakes via proof, on CPU and GPU

https://bend-lang.com/
161•nicolas-siplis•1h ago•74 comments

Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint

https://prismml.com/news/bonsai-2-27b
54•JonSchneider•1h ago•13 comments

I Hate You Microsoft

https://henriquenunez.eu/posts/you_did_it_again_ms/
86•henriquenunez•36m ago•27 comments

Hister: A private search engine for the pages you visit and the files you keep

https://github.com/asciimoo/hister
363•bookofjoe•5h ago•118 comments

Wax motor

https://en.wikipedia.org/wiki/Wax_motor
147•mhb•1d ago•30 comments

Fujitsu launches made-in-Japan next-generation CPU FUJITSU-MONAKA

https://global.fujitsu/en-global/pr/news/2026/09/14-02
465•my123•2d ago•170 comments

Everybody's Lost Their Minds

https://www.netmeister.org/blog/everybodys-lost-their-minds.html
225•ibobev•2h ago•128 comments

CrowdSec Source Code Leak

https://www.crowdsec.net/blog/crowdsec-statement-source-code-exposure
113•eccgecko•6h ago•33 comments

Sex, AI, and the Apocalypse

https://www.iankduncan.com/personal/2026-09-16-sex-ai-and-the-apocalypse/
10•Anon84•1h ago•1 comments

Rate limits on GitLab.com are changing

https://about.gitlab.com/blog/rate-limit-change-2026/
135•darkwater•6h ago•102 comments

Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

https://arxiv.org/abs/2609.18842
84•Betelbuddy•5h ago•25 comments

Flet 1.0 – Build cross-platform apps in Python

https://flet.dev/
10•absqueued•1h ago•3 comments

The American Religion of Self-Storage Facilities

https://www.newyorker.com/magazine/2026/09/21/the-american-religion-of-self-storage-facilities
164•pseudolus•9h ago•282 comments

How GLM built its own inference infrastructure

https://z.ai/blog/glm-built-its-inference-infrastructure
346•whiteros_e•13h ago•253 comments

Why I didn’t sign the Fields medallists’ letter

https://gowers.wordpress.com/2026/09/17/why-i-didnt-sign-the-fields-medallists-letter/
180•simianwords•13h ago•234 comments

Zettascale (YC S24) Is Hiring ASIC/FPGA Engineers to Build Chips for ASI

https://zscc.ai/careers?job_id=109821
1•el_al•5h ago

TSMC revealing details about next gen A14 node

https://iedm26.mapyourshow.com/8_0/sessions/session-details.cfm?scheduleid=331
68•osnium123•2d ago•25 comments

Towards Self-Driving Codebases

https://blog.detail.dev/posts/towards-self-driving-codebases/
86•wilhelmklopp•5h ago•71 comments

How do we prevent mathemathics from devolving into the Medieval Era of secrecy?

https://mathoverflow.net/questions/515260/how-do-we-prevent-mathematics-from-devolving-into-the-m...
49•jjgreen•2d ago•25 comments

Running Ubuntu on the Lenovo IdeaPad Duet

https://vhaudiquet.fr/blog/duet-ubuntu/
57•vhaudiquet•3d ago•17 comments

André Weil and the Hodge Conjecture

https://jiahao116.github.io/Articles/
23•caojiahao•5d ago•7 comments

How Uber Protects Against Retry Storms

https://www.uber.com/us/en/blog/protecting-against-retry-storms/
5•iscmt•1h ago•0 comments

One year of sponsored Servo development

https://servo.org/blog/2026/09/15/one-year-of-sponsorship/
335•AshleysBrain•14h ago•136 comments

GraphViz Pocket Reference – Make a Graph

https://graphs.grevian.org/graph/6322783643500544
6•vismit2000•2d ago•0 comments

Launch HN: Skillsync (YC W26) – AI chat sessions made portable across agents

36•cat-whisperer•5h ago•42 comments

CCC invites all model citizens to 40C3

https://events.ccc.de/en/2026/09/12/40c3-model-citizens/
309•antonly•14h ago•171 comments

Canto: A speech model built for the real world

https://wisprflow.ai/canto
21•sleepypandas•3h ago•9 comments

Show HN: Share your AI Setup, Learn from others

https://mysetup.ai/
157•steveybrown•9h ago•81 comments

The Return of Sail Power: Cargo Ships Are Turning Back to the Wind

https://gcaptain.com/the-return-of-sail-power-cargo-ships-are-turning-back-to-the-wind/
170•gumby•21h ago•119 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.