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Gemini 3.7 Flash

https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-fl...
321•thisisauserid•2h ago•208 comments

Accelerating GPT-5.6 Sol Ultrafast

https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultrafast-with-openai
146•pr337h4m•1h ago•40 comments

Choose Boring Technology (2015)

https://mcfunley.com/choose-boring-technology
109•tosh•1h ago•54 comments

Donkey.bas is 45 Years Old – 131 line of Glory

https://donkeybas.com/
73•jkrauska•1h ago•28 comments

Mistral OCR 4.1

https://docs.mistral.ai/models/ocr-4-1
130•spelk•2h ago•39 comments

Spaghettifying DRAM

https://github.com/xoreaxeaxeax/skitter-creek-bath-salts
343•matt_d•5h ago•105 comments

Where did the old web go? We followed 657,607 links to find out

https://0.mk/blog/link-rot
45•tdx•1h ago•23 comments

Single log line is 49KB+ (ext4) / 110KB+ (btrfs) of systemd-journald disk writes

https://github.com/systemd/systemd/issues/40262
10•ValdikSS•57m ago•2 comments

Tocharian Online

https://lrc.la.utexas.edu/eieol/tokol/0
33•Bluestein•2h ago•1 comments

Understanding is the new bottleneck

https://www.geoffreylitt.com/2026/07/02/understanding-is-the-new-bottleneck
12•sebg•51m ago•1 comments

DeepSeek Harness developer preview

https://deepseek.com/harness/en/
464•bjin•6h ago•212 comments

Come for ENIAC, Stay for UNIVAC and Skeduflo

https://uniqueatpenn.wordpress.com/2026/08/05/come-for-eniac-stay-for-univac-and-skeduflo/
47•cainxinth•2d ago•12 comments

Kubernetes on Oxide: How customer needs shaped our integrations

https://oxide.computer/blog/kubernetes-on-oxide
108•stevehipwell•5h ago•49 comments

AI At Home Part 1: A Box Of Scraps

https://jdagostino.github.io/ai-pt1-box-o-scraps/index.html
42•timmmmmmay•3h ago•19 comments

Gloomberb

https://gloom.sh/
311•rbanffy•5h ago•162 comments

How art invented humanity

https://aeon.co/essays/humans-did-not-invent-art-it-was-the-other-way-around
52•prismatic•20h ago•12 comments

Choosing an AI model: one prompt, 11 models, different results

https://www.netlify.com/blog/one-prompt-11-models-very-different-results/
136•toddmorey•6h ago•59 comments

Ordinary abundance

https://ordinaryabundance.com/
128•yen223•5h ago•56 comments

What Is Kimi K3? A Complete Developer Guide for 2026

https://www.firecrawl.dev/blog/kimi-k3
5•makaimc•58m ago•0 comments

Codex in ChatGPT desktop app for Linux is now in preview

https://community.openai.com/t/codex-in-chatgpt-desktop-app-for-linux-is-now-in-preview/1390027
415•allanrbo•14h ago•287 comments

ATG (YC F25) Is Hiring Member of Technical Staff (Data Platform)

https://atg.science/careers
1•dkobran•7h ago

JDK 27 G1/Parallel/Serial GC Changes

https://tschatzl.github.io/2026/08/10/jdk27-g1-serial-parallel-gc-changes.html
20•0x54MUR41•2h ago•7 comments

GoAccess – Open-source real-time log analyzer and interactive viewer

https://goaccess.io/
23•gregsadetsky•3h ago•4 comments

Show HN: Pixy, visual editor for coding agents, like Figma on your live site

https://pixydesignapp.com/
4•astroscout•23m ago•3 comments

Show HN: Inertia – Not your Grandfathers animation editor

https://inertiagraphics.com/
8•hpen•4d ago•2 comments

I built a 500k-domain search engine for makers in a weekend for $10

https://alexmorleyfinch.github.io/marlin/history/v1/article/the_birth.html
100•dreamforever•6h ago•58 comments

Graduate student proves a quantum uncertainty principle for fractals

https://www.quantamagazine.org/graduate-student-proves-the-fractal-uncertainty-principle-20260812/
50•bookofjoe•5h ago•6 comments

Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

https://github.com/fellowgeek/mcp-memory
47•pcbmaker20•5h ago•31 comments

Better Gaussian Splatting in Julia

https://pxl-th.github.io/blog/better-gs-julia/
100•pxl-th•4d ago•17 comments

Launch HN: Bullet (YC S26) – A Faster Coding Agent

https://www.codewithbullet.com
30•adi1•11h ago•32 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.