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Article URL: https://duggan.ie/posts/cognitive-debt-in-ai-coding

Comments URL: https://news.ycombinator.com/item?id=47031879

Points: 1

# Comments: 0

Article URL: https://chersbobers.github.io/posts/boolyinfo.html

Comments URL: https://news.ycombinator.com/item?id=47031862

Points: 1

# Comments: 0

Hello there,

Problem: I wanted to reduce DX friction when using ai to verify that ai-implemented features perform exactly what the developer had in mind. And I'm stuck now...

Context: First, I thought we could formalize prompts so that they become the code. The idea: a project spec where particular words define behavior, and changing the words changes the program. Each word is a function, so pressing "Go To... (F12)" drops you into a nested behavior (hence "Fractal"). So it would be a meta-spec language interpreted by an ai compiler while still using native language (hence "Native").

But this rests on a wrong assumption — that developers are open to learning a new language (less formalized than TS, Java, or Go, yet still formalized). I don't think that can happen anymore. The next coding language is purely English (or any other natural language).

Second, I discussed the idea with a friend and we realized that tests are a nice descriptor of behaviors (with quite some exceptions ofc). Ideation continued, and long story short, here's the Language Spec: https://github.com/slowestmonkey/fractal/blob/main/README.md

So why am I stuck? I've come to the realization that prompting ai and receiving correct behavior isn't enough for engineer. I can't confidently say "it makes sense" unless I understand how and why it was built that way. Here's the realization: https://www.conjectly.com/thoughts/7

And so I'm asking for help or advice on: - if and how this idea can go further - what other wrong assumptions I've made

Please share your thoughts and thank you.

Comments URL: https://news.ycombinator.com/item?id=47031686

Points: 1

# Comments: 0

Article URL: https://blog.computationalcomplexity.org/2026/02/assigning-open-problems-in-class.html

Comments URL: https://news.ycombinator.com/item?id=47031656

Points: 2

# Comments: 0

I was spending 3 hours every day manually searching Reddit for people asking about problems my SaaS solves.

The process sucked:

Click through 50+ threads Read hundreds of comments Find maybe 5 good opportunities Miss everything posted after I stopped searching

So I built an AI that does it for me in 20 minutes. How it works: You give it your website. Then it monitors 24/7, scores every conversation for buying intent, and emails you the best opportunities each morning. It also does a power scan which finds you high google ranking post

First week results: 50+ relevant conversations found 40+ users $350 revenue Just 20 minutes a day

The controversial part: Before anyone says "you're ruining Reddit" this isn't a spam bot. It finds opportunities. It generates AI replies but you still need to be helpful and authentic. It just saves you from manually reading 1000+ posts to find 5 good ones.

Technical challenges: Reddit's API is deliberately limited (they want ad revenue). So I index public posts, use LLMs for intent detection and built roadmap that guides you so you don't spam yourself into a shadowban. You can get the 3-day free trial on RedLeads.app

Happy to answer questions about the AI scoring, Reddit's quirks, or growth tactics.

Comments URL: https://news.ycombinator.com/item?id=47031654

Points: 3

# Comments: 0

Article URL: https://www.latimes.com/business/story/2026-02-13/tech-titans-pour-50-million-into-super-pac-to-elect-ai-friendly-candidates-to-congress

Comments URL: https://news.ycombinator.com/item?id=47031642

Points: 2

# Comments: 1

Enter any topic and the app generates a structured study path — chapters, steps, and YouTube tutorials for each. You can explore it as an interactive knowledge graph or a step-by-step plan, and export the tutorials into a YouTube playlist with one click.

No sign-up required to try it.

Stack: Python/FastAPI, OpenAI Responses API (streaming), Cytoscape.js for the graph, vanilla JS, Cloud Run.

Demo: https://www.youtube.com/watch?v=b4hUfTcJdbQ

Comments URL: https://news.ycombinator.com/item?id=47031632

Points: 2

# Comments: 0

Article URL: https://www.christianschleifer.com/posts/dependency-injection-without-the-bloat-why-i-skip-java-dependency-injection-frameworks/

Comments URL: https://news.ycombinator.com/item?id=47031627

Points: 2

# Comments: 0

Article URL: https://autheona.com/invitation/

Comments URL: https://news.ycombinator.com/item?id=47031622

Points: 2

# Comments: 0

I built 9 free browser-based developer tools, all hosted on GitHub Pages with zero cost. Includes JSON Formatter, Regex Tester, CSS Grid Generator, Color Palette Generator, Markdown Preview, Clipboard Manager, Password Generator, Unit Converter, and API Response Viewer. Everything runs client-side, no sign-ups, no tracking. Built as a weekend project to scratch my own itch.

Comments URL: https://news.ycombinator.com/item?id=47031605

Points: 2

# Comments: 0

Article URL: https://diyclaw.dev/

Comments URL: https://news.ycombinator.com/item?id=47031595

Points: 2

# Comments: 0

Article URL: https://mastodon.world/@knowmadd/116072773118828295

Comments URL: https://news.ycombinator.com/item?id=47031580

Points: 5

# Comments: 0

Article URL: https://github.com/varnishcache/varnish-cache/releases/tag/last

Comments URL: https://news.ycombinator.com/item?id=47031550

Points: 5

# Comments: 0

i met many great recruiters, from spies to unicorn founders. many of which were masters at the game, but altman is on a whole other level.

one day in the future, he will be dubbed as the greatest priest/evangelist of the 21st century.

Comments URL: https://news.ycombinator.com/item?id=47031495

Points: 2

# Comments: 1

Article URL: https://www.telegraph.co.uk/business/2026/02/15/the-desperate-race-to-escape-ais-permanent-underclass/

Comments URL: https://news.ycombinator.com/item?id=47031440

Points: 1

# Comments: 1

codex-web-local is a lightweight web interface for the local Codex App Server (the backend used by Codex Desktop, Codex CLI)

The goal is simple: run Codex locally, access it from the browser, and optionally expose it externally via any tunnel. Remote access is password-protected so your local machine stays private.

Looking for feedback from others running local Codex setups

Comments URL: https://news.ycombinator.com/item?id=47031436

Points: 1

# Comments: 0

Wisepanel brings ChatGPT, Claude, Gemini, and Perplexity together in distinct roles. Instead of asking one model and hoping for the best, it assigns each a perspective and lets them interact -- surfacing opportunities, risks, and alternatives you wouldn't get from any single model.

Built for founders, developers, investors, and consultants making decisions before commitment. The value isn't comparing outputs side-by-side -- it's the interaction between perspectives.

Comments URL: https://news.ycombinator.com/item?id=47031423

Points: 1

# Comments: 0

Article URL: https://github.com/ykdojo/safeclaw

Comments URL: https://news.ycombinator.com/item?id=47031418

Points: 1

# Comments: 0

Hi HN,

I built Million Dollar Deeds as an experiment in digital ownership.

The idea is simple: anyone can purchase a permanent “lot” on a global visual map of digital real estate. Each purchase generates a unique AI-designed home and an official digital deed recorded in a public registry.

There are only 100,000 lots available, and once sold they cannot be recreated or resold.

I was curious about what true digital permanence might look like outside of domains or NFTs, and wanted to create something accessible and visual rather than speculative.

Would love feedback from the community — especially on the concept, implementation, and potential future directions.

Comments URL: https://news.ycombinator.com/item?id=47031417

Points: 1

# Comments: 2

https://github.com/Mattbusel/Reddit-Options-Trader-ROT-

ICE, the company that owns the NYSE, just started selling "Reddit Signals and Sentiment" to institutional investors. Structured Reddit data for hedge fund money.

I built the same thing in 9 days. 165k lines. 6,916 tests. Zero CodeQL alerts. Yes I used AI to build it. No I'm not sorry about it.

Comments URL: https://news.ycombinator.com/item?id=47031362

Points: 3

# Comments: 0