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Show HN: I asked 5 LLMs 10k questions and indexed every domain they cited

https://citegeo.uvansa.com
1•jhaankit373•55s ago•0 comments

Meta ditches the camera on its newest smart glasses

https://www.theverge.com/tech/999281/ray-ban-meta-audio-glasses-meta-connect-2026
3•geoffbp•4m ago•0 comments

The E-Ink Monopoly [video]

https://www.youtube.com/watch?v=3QbJ7pnc1Lc
1•trymas•6m ago•0 comments

Blink – Embeddable one-pass typed decision in 33 µs

https://github.com/sqliteai/blink
1•marcobambini•7m ago•0 comments

What Changed from GPT-3.5 to GPT-4? GPT-3.5: 0/30 Empty Nulls. GPT-4: 30/30

https://www.reddit.com/r/ArtificialInteligence/comments/1wotljm/what_changed_from_gpt35_to_gpt4_s...
2•rayanpal_•8m ago•0 comments

Steve Jobs' Full iPhone 4 Antennagate Press Conference Q&A Session

https://www.youtube.com/watch?v=BiN5ERktXz0
3•aSig•10m ago•0 comments

Can You Beat Jev?

https://antics.gg/can-you-beat-jev
1•thatslast•12m ago•0 comments

Albanese says OpenAI hacked Medicare and told Australia months later

https://www.theguardian.com/australia-news/2026/sep/24/anthony-albanese-says-openai-agent-hacked-...
1•skor•14m ago•0 comments

What's Left to Get Wrong

https://blogsh.app/posts/2026/what-s-left-to-get-wrong/
1•krab•15m ago•0 comments

Meta is making a standalone Muse AI gadget

https://www.theverge.com/tech/999750/muse-charm-meta-ai-hardware
1•arbayi•15m ago•0 comments

Mysteries of AI Generalization

https://www.astralcodexten.com/p/mysteries-of-ai-generalization
1•terryf•16m ago•0 comments

Lysios – LLM red teaming org

https://lysios.ai/
1•davedx•16m ago•0 comments

The biggest surprises from a year working at OpenAI

https://aalokpatwa.substack.com/p/one-year-at-openai
1•mji•17m ago•0 comments

Ways to Encrypt Data on Servers

https://lwn.net/Articles/1092553/
1•DavideNL•20m ago•0 comments

C-to-Rust Fallacy: Automatic Refactoring != Memory Security

https://arxiv.org/abs/2609.25682
3•sbulaev•21m ago•0 comments

The Nightmare of Voskhod 2

https://www.smithsonianmag.com/air-space-magazine/the-nightmare-of-voskhod-2-8655378/
1•thunderbong•21m ago•0 comments

Show HN: FireWand – A lightweight manager for GCP SQL databases

https://firewand.dev/
1•moshercode•21m ago•0 comments

Mocks and Explicit Contracts

https://dashbit.co/blog/mocks-and-explicit-contracts
1•Bluestein•23m ago•0 comments

No grades, no tests, no degree: Andreessen Horowitz launching builders' academy

https://sfstandard.com/2026/09/22/grades-tests-degree-andreessen-horowitz-launching-sf-academy-bu...
1•jnord•26m ago•0 comments

The "C" Word

https://blog.coredump.cx/p/the-c-word
2•surprisetalk•28m ago•0 comments

The Story Of Mel: A Real Programmer

https://melsloop.com/stories/the-story-of-mel/articles
1•signa11•29m ago•0 comments

Semantics Delivery Network: Rethinking Web Retrieval for LLM Agents

https://arxiv.org/abs/2609.22486
1•scottsiume•34m ago•1 comments

Browsers Situationship: When Browsers Agree but the Spec Doesn't

https://www.atbrakhi.dev/blog/browsers-situationship
2•cpeterso•35m ago•0 comments

The Bikeshed Email (1999)

https://phk.freebsd.dk/sagas/bikeshed/
1•theanonymousone•37m ago•0 comments

Spy Exhaustion Reversal Gauge

1•jakins1777•38m ago•0 comments

Layoff.tools: Help Solve Unemployment

https://layoff.tools/
3•mxfactorial•42m ago•1 comments

Turn Text into Actions with Needle, 14Mb

https://www.raspberrypi.com/news/turn-text-input-into-actions-with-needle-a-14mb-function-calling...
1•unprovable•48m ago•0 comments

Python Enhancement Proposal 824: None-coalescing operators

https://peps.python.org/pep-0824/
2•theanonymousone•51m ago•0 comments

Psilocybin as a treatment for repetitive mild head injury [pdf]

https://www.nature.com/articles/s42003-026-10804-w.pdf
2•dr_dshiv•58m ago•0 comments

ArchKeel – results from 2 large agentic refactoring experiments

https://github.com/rapiddweller/archkeel
3•ake2l•1h ago•0 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