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Codex for almost everything

https://openai.com/index/codex-for-almost-everything/
431•mikeevans•3h ago•226 comments

Claude Opus 4.7

https://www.anthropic.com/news/claude-opus-4-7
1152•meetpateltech•6h ago•859 comments

German Dog Commands

https://www.fluentu.com/blog/german/german-dog-commands/
23•rolph•1h ago•26 comments

PCI Express over Fiber [video]

https://www.youtube.com/watch?v=XaDa9bBucEI
79•mmastrac•5d ago•19 comments

TigerBeetle: A Trillion Transactions [video]

https://www.youtube.com/watch?v=y2_BqkKTbD8
37•adityaathalye•4d ago•12 comments

Cloudflare's AI Platform: an inference layer designed for agents

https://blog.cloudflare.com/ai-platform/
195•nikitoci•7h ago•47 comments

Qwen3.6-35B-A3B: Agentic coding power, now open to all

https://qwen.ai/blog?id=qwen3.6-35b-a3b
730•cmitsakis•6h ago•341 comments

Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7

https://simonwillison.net/2026/Apr/16/qwen-beats-opus/
114•simonw•2h ago•23 comments

Put your SSH keys in your TPM chip

https://raymii.org/s/tutorials/Put_your_SSH_keys_in_your_TPM_chip.html
70•type0•4d ago•71 comments

Launch HN: Kampala (YC W26) – Reverse-Engineer Apps into APIs

https://www.zatanna.ai/kampala
51•alexblackwell_•5h ago•51 comments

The future of everything is lies, I guess: Where do we go from here?

https://aphyr.com/posts/420-the-future-of-everything-is-lies-i-guess-where-do-we-go-from-here
392•aphyr•7h ago•405 comments

Darkbloom – Private inference on idle Macs

https://darkbloom.dev
456•twapi•16h ago•220 comments

Artifacts: Versioned storage that speaks Git

https://blog.cloudflare.com/artifacts-git-for-agents-beta/
107•jgrahamc•7h ago•7 comments

Circuit Transformations, Loop Fusion, and Inductive Proof

https://natetyoung.github.io/carry_save_fusion/
6•matt_d•3d ago•0 comments

Show HN: MacMind – A transformer neural network in HyperCard on a 1989 Macintosh

https://github.com/SeanFDZ/macmind
94•hammer32•7h ago•28 comments

IPv6 traffic crosses the 50% mark

https://www.google.com/intl/en/ipv6/statistics.html?yzh=28197
727•Aaronmacaron•1d ago•521 comments

Six Characters

https://ajitem.com/blog/iron-core-part-2-six-characters/
66•Airplanepasta•3d ago•10 comments

We gave an AI a 3 year retail lease and asked it to make a profit

https://andonlabs.com/blog/andon-market-launch
161•lukaspetersson•5h ago•237 comments

Show HN: CodeBurn – Analyze Claude Code token usage by task

https://github.com/AgentSeal/codeburn
49•agentseal•2d ago•13 comments

The paper computer

https://jsomers.net/blog/the-paper-computer
257•jsomers•3d ago•81 comments

FSF trying to contact Google about spammer sending 10k+ mails from Gmail account

https://daedal.io/@thomzane/116410863009847575
347•pabs3•16h ago•200 comments

Cloudflare Email Service

https://blog.cloudflare.com/email-for-agents/
349•jilles•7h ago•154 comments

Japan implements language proficiency requirements for certain visa applicants

https://www.japantimes.co.jp/news/2026/04/15/japan/society/jlpt-visa-requirement/
86•mikhael•3h ago•46 comments

Codex Hacked a Samsung TV

https://blog.calif.io/p/codex-hacked-a-samsung-tv
176•campuscodi•9h ago•104 comments

AI cybersecurity is not proof of work

https://antirez.com/news/163
170•surprisetalk•9h ago•74 comments

European civil servants are being forced off WhatsApp

https://www.politico.eu/article/european-civil-servants-new-messaging-services/
21•aa_is_op•53m ago•5 comments

Modern Microprocessors – A 90-Minute Guide

https://www.lighterra.com/papers/modernmicroprocessors/
164•Flex247A•4d ago•19 comments

ChatGPT for Excel

https://chatgpt.com/apps/spreadsheets/
312•armcat•23h ago•190 comments

PHP 8.6 Closure Optimizations

https://wiki.php.net/rfc/closure-optimizations
94•moebrowne•2d ago•22 comments

RamAIn (YC W26) Is Hiring

https://www.ycombinator.com/companies/ramain/jobs/bwtwd9W-founding-gtm-operations-lead
1•svee•13h ago
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•11mo 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•11mo 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•11mo 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_•11mo ago
Spotbugs or checkstyle etc... would catch these. What does AI add here?
xyst•11mo 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•11mo 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•11mo 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•11mo 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•11mo 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•11mo ago
stupid af
Traubenfuchs•11mo 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•11mo 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•11mo ago
Can the QA team? How does the dev/staging environment help writing less buggy code?
rad_gruchalski•11mo ago
But can you leetcode heh.
TYMorningCoffee•11mo 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.