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Raindrop – Local Agent Debugger

https://github.com/raindrop-ai/workshop
1•felixbraun•2m ago•0 comments

Windows BitLocker zero-day gives access to protected drives, PoC released

https://www.bleepingcomputer.com/news/security/windows-bitlocker-zero-day-gives-access-to-protect...
1•akyuu•2m ago•0 comments

LLM Policy for Rust Compiler

https://github.com/rust-lang/rust-forge/pull/1040
1•liyanage•2m ago•0 comments

LLMs run on top of an OS designed for code, not weights

https://github.com/matthewworner/spike
1•matthewworner•3m ago•0 comments

Sam Altman Is Taking a Lot of Punches on the Witness Stand

https://www.motherjones.com/politics/2026/05/altman-musk-openai-lawsuit-witness-questioning-ai/
2•cdrnsf•3m ago•0 comments

New Fragnesia Linux flaw lets attackers gain root privileges

https://www.bleepingcomputer.com/news/security/new-fragnesia-linux-flaw-lets-attackers-gain-root-...
1•akyuu•7m ago•0 comments

AMD EPYC CPUs Reach Record Server Revenue Share of 46.2%

https://www.techpowerup.com/349029/amd-epyc-cpus-reach-record-server-revenue-share-of-46-2
1•akyuu•12m ago•0 comments

Have a Coherent AI Policy

https://brianmeeker.me/2026/05/14/have-a-coherent-ai-policy/
2•ai_critic•15m ago•0 comments

Shareable AI Editable Visualizations

https://framejs.io/docs/intro.html
1•dionjw•16m ago•0 comments

Boeing, Toyota Donated $1M Each to Transportation Secretary's Road-Trip Show

https://www.wsj.com/business/boeing-toyota-donated-1-million-each-to-transportation-secretarys-ro...
1•impish9208•17m ago•1 comments

Decisions in the past have long running repercussions

https://www.distributedthoughts.org/2026-05-07-roman-bridge-still-determines-your-commute/
2•prosaic-hacker•20m ago•1 comments

A Professor in Every Pocket – A New Framework for Higher Education

https://lagomor.ph/2026/01/a-professor-in-every-pocket/
1•ChilledTonic•28m ago•0 comments

Isaac Newton on Laputa

https://www.historytoday.com/archive/great-debates/isaac-newton-laputa
1•hhs•35m ago•0 comments

mimalloc: A new, high-performance, scalable memory allocator for the modern era

https://www.microsoft.com/en-us/research/blog/mimalloc-a-high-performance-scalable-memory-allocat...
5•matt_d•36m ago•0 comments

A scientist made a clone of a clone of a clone of a clone

https://www.nationalgeographic.com/science/article/scientists-reclone-mice+
1•mrtedbear•36m ago•0 comments

Learn Python the Hard Way Was Right About One Thing

https://fagnerbrack.com/learn-python-the-hard-way-was-right-about-one-thing-9b6ab0b67526
2•birdculture•42m ago•0 comments

AI to infest eight in ten premium phones within two years

https://www.theregister.com/personal-tech/2026/05/14/ai-to-infest-eight-in-ten-premium-phones-wit...
1•Bender•43m ago•0 comments

Cisco to fire 4k staff and generously give them free training – on Cisco

https://www.theregister.com/networks/2026/05/14/cisco-to-fire-4000-staff-and-generously-give-them...
3•Bender•44m ago•0 comments

To gain root access at this company, all an intruder had to do was ask nicely

https://www.theregister.com/security/2026/05/14/to-gain-root-access-intruder-just-had-to-ask/5239853
1•Bender•44m ago•0 comments

Encountering the roots of mathematics

https://www.ias.edu/ideas/encountering-roots-mathematics
1•hhs•46m ago•0 comments

AI Poop Analysis App Offered to Sell Me Database of Its Users' Poops

https://www.404media.co/ai-poop-analysis-app-offered-to-sell-me-access-to-its-users-poops/
2•Cider9986•49m ago•0 comments

ICLR 2026 – Institutional Affiliations Dataset and Analysis

https://github.com/DmytroLopushanskyy/iclr2026-affiliations
3•stared•49m ago•0 comments

Do deep learning models recognize 3D shapes in the same way humans do?

https://www.santafe.edu/news-center/news/do-deep-learning-models-recognize-3d-shapes-in-the-same-...
1•hhs•51m ago•0 comments

Mirror Life's Doomsday Potential

https://www.noemamag.com/the-doomsday-organism/
1•littlexsparkee•51m ago•0 comments

The Cost of Free Doughnuts

https://www.npr.org/2020/01/08/794592539/episode-386-the-cost-of-free-doughnuts
1•compiler-guy•53m ago•0 comments

AI #168: Not Leading the Future

https://thezvi.substack.com/p/ai-168-not-leading-the-future
2•paulpauper•53m ago•0 comments

Too Much Is Happening Too Fast

https://www.theatlantic.com/technology/2026/05/too-much-happening-too-fast/687177/
4•paulpauper•54m ago•0 comments

Sensational Books to Read This Summer

https://www.theatlantic.com/books/2026/05/summer-reading-2026/686880/
1•paulpauper•54m ago•1 comments

'Millions' of pounds saved by replacing Palantir tech in refugee system

https://www.bbc.com/news/articles/c2l2j1lxdk5o
38•cdrnsf•55m ago•4 comments

Fields of the World: A Global Field Boundary Ecosystem

https://fieldsofthe.world/
1•tokai•56m ago•0 comments
Open in hackernews

Show HN: VibeSpec – A tool to generate structured specs for Spec2Code

https://vibespec.guaeca.com
1•paulistaunb•11mo ago
I've been experimenting with a new concept called Spec2Code, and just launched a prototype SaaS tool named VibeSpec.

We hear a lot about no-code, low-code, or prompt-to-code—but these often rely on constant human input.Most agents today need us every few seconds: write a prompt, check the output, correct, repeat. You can’t step away. You definitely can’t ask them to build overnight.

Spec2Code is different. It draws from how engineers in aerospace or automotive define complex systems: with structured, layered specifications. The goal is to give agents enough information upfront that they can work autonomously for 15–30 minutes at a time—without micromanagement.

The hardest part? Writing those specs.

Nobody enjoys it, and tooling for structured requirements is basically non-existent in the software world.

So I built VibeSpec, a tool (and eventually, a framework) to turn loose ideas into structured, machine-usable specs—using agents designed specifically for that task.

Once done, the specs can be handed off to coding agents for implementation.

You can check it out here: https://vibespec.guaeca.com And here’s what the agents built from one of these specs: https:https://secretmessage.guaeca.com/

~10 minutes writing the spec with the agent ~10 minutes refining via “vibe coding” (adding missing cases) ~5 minutes testing + iterating

Would love to hear thoughts from others working on agent workflows or spec-driven development.