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How Many Elementary Particles Are There, Really?

https://www.quantamagazine.org/how-many-elementary-particles-are-there-really-20260615/
1•rwmj•53s ago•0 comments

Lemonad: A functional programming library for JavaScript

https://github.com/fogus/lemonad
1•tosh•1m ago•0 comments

The great herbivores of the Caucasus stage a comeback

https://www.unep.org/news-and-stories/story/great-herbivores-caucasus-stage-comeback
1•thunderbong•1m ago•0 comments

Some Intuition Behind the Contrapositive

https://max-amb.github.io/blog/some_intuition_behind_the_contrapositive/
1•max-amb•5m ago•0 comments

Designing Math Ft. Grant Sanderson (3Blue1Brown) [video]

https://www.youtube.com/watch?v=bLSLN96Gn-w
1•marvinborner•5m ago•0 comments

QRCard – Your digital business card

https://qrcard.up.railway.app/
1•nikitafaesch•8m ago•0 comments

Open-source cloud-native Postgres platform

https://github.com/xataio/xata
1•mebcitto•10m ago•0 comments

Phones Alerted Millions Before Quakes Shook Venezuela

https://www.nytimes.com/interactive/2026/06/27/world/americas/venezuela-earthquakes-android-alert...
1•jgalt212•12m ago•1 comments

A Street of Good Houses - The Shape of the Whole

https://shapeofthesystem.com/posts/2026/06/26/a-street-of-good-houses
1•supermatt•12m ago•0 comments

BlueBookOS: An LLM microkernel and language for specifying apps

https://bluebookos.com/
1•logn•13m ago•0 comments

Show HN: Nirnam – a browser-native message bus and AI agent framework for MFEs

https://github.com/shaurcasm/nirnam
1•shauryaSP•14m ago•0 comments

Generative artificial intelligence creates delicious, nutritious burgers

https://www.nature.com/articles/s41538-026-00953-x
1•Anon84•21m ago•0 comments

What's cooking on Sourcehut? Q2 2026

https://sourcehut.org/blog/2026-05-28-whats-cooking-q2-2026/
1•birdculture•22m ago•0 comments

Kb – Prolog Knowledge Base

https://github.com/mat-mgm/kb-prolog
1•triska•25m ago•0 comments

Overview of new contracts, pay and transfers in the Ukrainian army

https://mod.gov.ua/en/news/transformation-of-the-defence-forces-of-ukraine-a-comprehensive-overvi...
1•Someone•30m ago•0 comments

OpenRA

https://www.openra.net/
8•tosh•31m ago•1 comments

A thermodynamic approach to gravity could explain cosmic acceleration

https://phys.org/news/2026-06-thermodynamic-approach-gravity-cosmic-dark.html
2•wjSgoWPm5bWAhXB•33m ago•0 comments

Using Local Coding Agents

https://magazine.sebastianraschka.com/p/using-local-coding-agents
1•Anon84•36m ago•0 comments

Ask HN: Is there a quiet market for 'no enforced AI' dev jobs?

3•reinhardt•36m ago•1 comments

Ask HN: Steam OS as a Windows Replacement?

1•x______________•40m ago•0 comments

Mitchell Hashimoto: Defining Taste

https://xcancel.com/i/article/2070665127331037290
2•tamnd•40m ago•0 comments

XiaoKe API Gateway: PDF OCR Scrape Translate Review SummarizeXiaoKe API Gateway

https://github.com/y9695430-lang/xiaoke-api-gateway
1•xiaoke-api•41m ago•0 comments

Gnome AI Assistant Adds Image Generation Support

https://www.phoronix.com/news/GNOME-Newelle-Image-Gen
1•mehmetoguzderin•42m ago•0 comments

Show HN: RapidCam – Browser-based, parametric 2D CAD/CAM app for CNC and laser

https://rapidcam.app
2•Jemm•44m ago•1 comments

Tapered Language Models

https://arxiv.org/abs/2606.23670
1•sonabinu•45m ago•0 comments

Saying the Obvious Thing

https://www.seangoedecke.com/saying-the-obvious-thing/
1•swah•46m ago•0 comments

Show HN: Visual Map of ICML 2026 Papers

https://www.alphaxiv.org/icml/map
2•vednig•47m ago•0 comments

How Saarinen and Eames Imagined Airport Operations and Influenced Dulles

https://www.youtube.com/watch?v=6C3iKBJhgZM
1•master_crab•50m ago•0 comments

Michael Saylor's Strategy has no easy way out as Bitcoin prices continue to drop

https://finance.yahoo.com/markets/article/michael-saylors-strategy-faces-no-easy-way-out-as-bitco...
1•decimalenough•51m ago•1 comments

Wan Streamer v0.1: End-to-End Real-Time Interactive Foundation Models

https://wan-streamer.com
1•davedx•51m ago•1 comments
Open in hackernews

Show HN: API Testing and Security with AI

https://qodex.ai/
8•siddhant_mohan•1y ago

Comments

anuragdt•1y ago
Generating tests is good, but how to handle the updating tests? Also how will you handle the flakiness and side effects of AI models?
siddhant_mohan•1y ago
We handles flakiness with retries, smart waits, and isolation, while side effects are avoided using clean setups, teardowns, and state-safe mocks. Each tests scenarios are independent of each other and can be configured in a way to have prerequisite to setup the system and the post callback to cleanup the system

About updating test scenarios, we map it with your github commits and when a new commits come, we use the diff to figure out if tests failing are because of a bug or because of a new feature.

kshitijzeoauto•1y ago
It claims to plug into your CI pipeline, detect what changed, and generate relevant test cases using LLMs.

As someone who’s struggled with stale or missing tests—especially in fast-moving codebases—I find this idea quite compelling. But I’m also curious about how it handles:

Contextual understanding across large codebases (e.g., multiple modules touched in a PR) Avoiding flaky or non-deterministic tests Matching team-specific coding styles or conventions