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They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
1•breve•2m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•4m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•4m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•5m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•10m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•16m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•18m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•22m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•24m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•30m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•34m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•34m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•38m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•39m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•41m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•43m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•46m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•47m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•49m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•50m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•52m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•55m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•1h ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•1h ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments
Open in hackernews

Show HN: I built a wizard to turn ideas into AI coding agent-ready specs

https://vibescaffold.dev/
71•straydusk•2mo ago
I created vibescaffold.dev. It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan. It will generate all the documents necessary for AI coding agents to understand & iteratively execute on your vision.

How it works: - Step 1: Define your product vision and MVP - Step 2: AI helps create technical architecture and data models - Step 3: Generate a staged development plan - Step 4: Create an AGENTS.md for automated workflows

I've used AI coding tools for awhile. Before this workflow (and now, this tool), I kept getting "close but not quite" results from AI coding tools. I learned that the more context & guidance I gave these tools up front, the better results I got.

The other thing I have found with most tools that attempt to improve on "vibe coding" is that they add abstraction. To me, this just adds to the problem. AI coding agents are valuable, but they are error-prone - you need to be an active participation in their work. This workflow is designed to provide a scaffolding for these AI agents, while minimizing additional abstraction.

Would love feedback on the workflow - especially curious if others find the upfront planning helpful or constraining.

Comments

esafak•2mo ago
You can already do this in your coding agent ? You just need the LLM to index the code base, and the rest is easy. I need a before-and-after to understand what you are doing differently.

Unless your tool has people skills, this engineer can just take the spec to the agent ;)

straydusk•2mo ago
Maybe that's something I should add, to more clearly illustrate it. This tool is creating a spec that the AI coding agent of your choice can execute on, it's not an AI coding itself. Or maybe I'm not sure what you're getting at?
Avicebron•2mo ago
I'm not sure if it's intended behavior or not, but after it generated the spec it did offer to write the code and then generated it
esafak•2mo ago
I mean I can already iterate on a spec with the agent; I do not need a separate tool.
wredcoll•2mo ago
But all ai models will generate a spec if you ask them to?
nvader•2mo ago
I'm happy for you! Some feedback as I walk through the app.

I like the styling, it's really slick. I also like that you enable me to use the tool online without signing up. I was curious about how you're supporting this, and paying for inference, but I see now that you haven't really wired up anything. When I try to generate my 1pager, it returns a placeholder.

> Turn your messy ideas...

I'm not a fan of this framing. Messy has negative connotations, so it's not clear why you're insulting me when we just met. ;)

The wizard:

There's a bit of duplication, since you have "Tell the agent..." as well as "Tell me...", both conveying the same information.

I can jump through steps without competing prior ones. Isn't that going to cause a problem?

It's hard to truly evaluate this further without seeing it in action. As other authors have said, many agents already support Plan Mode, so it it's important for you to distinguish yourself from that.

straydusk•2mo ago
Thanks for the response! I have wired it up...it's using gpt-5-mini. I just have API-level usage limits - I figured if it hit those, I could worry about how to adjust costs, rate limit, etc.

The jumping through steps is not intended - that's a regression.

I agree on plan mode - this one is just a lot more featured. I should include some samples to demonstrate that. Here's an example, if you're interested, of the prompt plan output - https://github.com/benjaminshoemaker/data_graph_gap_report/b...

straydusk•2mo ago
I'm honestly not sure how you got the "turn your messy ideas" placeholder - how did you get to that?
adambb•2mo ago
I think the "messy ideas" was a reference to the homepage copy "Turn your messy ideas into crystal clear specs.", not continuing the previous thought about the placeholder. I'd agree that "messy" might have more negative connotations than you intended.
straydusk•2mo ago
Interesting, fair though. I think of my own ideas that way, but maybe not everyone does!
straydusk•2mo ago
Hey there, I changed the messy framing. Hope you like it!

I also fixed the wizard text, I agree.

I also fixed the step jumping.

Would love to hear your feedback if you try it again with the fixes in place :)

zahlman•2mo ago
> It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan.

(And then the implementation plan is fed to the same sort of AI that you were going to give the "idea" to in the first place.)

If doing this gives good results, then it shouldn't be necessary.

straydusk•2mo ago
I mean, it would be great if it wasn't necessary - but have you used these coding agents? They need it.
zahlman•2mo ago
My point is that it shouldn't be necessary because the agent should already implement it.
straydusk•2mo ago
I wish it did as well. I am sure someday, this tool won' t be needed. Until then... maybe it will!
FuckButtons•2mo ago
Why? From first principles you can deduce why it makes sense this could work, they are auto regressive next token prediction engines. As to efficacy, well that you would need to try it and see, but I see no reason to dismiss the idea out of hand.
majormajor•2mo ago
This the standard current approach for most models/agent tools because models can do well at "make a plan for this" and "execute this step" but are less good at generating a response string that includes both the plan and every step of the execution without intermediate prompting/redirection/focusing. Helps fight context drift and maximize effectiveness/efficiency of the predictions.

Most advances in tools I've used in the last two years are exactly this sort of "automate the steering and feedback loop that the prompt goes through" automated-fairly-boilerplate-sequencing of refinement of initial idea -> plan -> execution -> feedback.

straydusk•2mo ago
Thanks for saying this.
CuriouslyC•2mo ago
What are you doing that SpecKit/BMAD/etc aren't?
straydusk•2mo ago
I found SpecKit to be over-engineered, and BMAD to be quite complex. To me, this was a "thin" enough solution that I still felt like I was in control, and not at the mercy of an additional abstraction.
Aperocky•2mo ago
AI can generate specs and development plans but a tremendous amount of trash can slip through those specs and plans resulting in complete garbage as output.

I'm using AI a lot, in planning but I take close manual oversight on specs and development plan and still read all active path code (give AI a little but not too much leeway on testing, since sometimes they start writing test asserting true == true).

straydusk•2mo ago
I think you're right. I think that's why I like this approach - it's keeping you in the loop for most of it - and you just get documents as output that you can edit, check, and iterate on yourself.
NamlchakKhandro•2mo ago
broken.

there's no need for an app like this anyway.

You want this as a series of prompts that handle the various stages.

straydusk•2mo ago
I mean, that is in large part what this is. I just turned it into an app because a) it was a lot of manual work for me and then b) this way other people can use it.
rimeice•2mo ago
I like this. I’ve been working on something similar. Good spec’ing is critical to getting good output and I suspect a lot of the “I’ve already got plan mode” comments are from technical HN folk, who do know the right questions to ask and know what good looks like. But as the success of Lovable shows there are millions of people out there who clearly want to build apps but don’t have the technical chops to do so and clearly don’t know what a good spec looks like. My experience of “plan mode” is that it won’t serve these people. I’d be keen to connect and share ideas around this. My email in my profile.
straydusk•2mo ago
Shot you an email!
meander_water•2mo ago
I've been doing something like this for a while, and it provides decent enough results for agents to one-shot. The key is to specify the LLM with the idea, and then get it to ask you questions until you feel enough ambiguity has been eliminated from the product spec for you to pass it to an agent.
straydusk•2mo ago
I think the reverse Socratic method when it comes to LLMs is one of the best constructs, period - both in this context, but in many.
purge12•2mo ago
Is this still up? I tried to get some ideas on creating AGI, but no AI response came through?
straydusk•2mo ago
Uh... I have no idea why the chat isn't working! Looking now!
straydusk•2mo ago
I fixed it, and a few other issues. It was because I hit my limits in the API... OpenAI billing is weird.
ossa-ma•2mo ago
AGI? In a single prompt?

I guess we should tell thousands of AI researchers to stop what they're doing right now since you're a single prompt away from solving the problem??

purge12•2mo ago
That was meant to be a satire dude. I just meant to say the chat isn't working :)
indolering•2mo ago
I've never understood why anyone would use a wizard to install software: they are unstable old men with magical powers and they are NOT to be trusted!!!

Now you are going to have one write out instructions for an AI?! I guess we know how the AI apocalypse gets started!

fortydegrees•2mo ago
This is really good work! Love the UX and the design. Even though I work with AI agents and building them a lot, I found the way you structure the steps very helpful for thinking about the project itself. The agent asks the right questions which makes me feel confident it's understanding my goals.

If you're looking for feedback, you could include a tiny section on the homepage about how to run the output docs. e.g. put them in a folder, point Claude Code/Codex to it and give it the prompt.

Thanks for building this!

straydusk•2mo ago
Thanks a lot! I agree (obviously) - this workflow really helped me structure my projects.

> If you're looking for feedback, you could include a tiny section on the homepage about how to run the output docs. e.g. put them in a folder, point Claude Code/Codex to it and give it the prompt.

This is great feedback - I totally agree - going to add this asap

straydusk•2mo ago
Added a new modal for this - I really like it! Thanks for pointing that out - it was a bad experience before! https://imgur.com/a/VLbjuW5