frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•40s ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
1•onurkanbkrc•1m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•2m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•5m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•7m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•7m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•8m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•8m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
2•juujian•10m ago•0 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•11m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•14m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
1•DEntisT_•16m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•16m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•16m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•19m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
4•sakanakana00•22m ago•0 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•25m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•25m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•27m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•27m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•31m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•33m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•36m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•38m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•42m ago•1 comments

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

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•45m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•47m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•47m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•48m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•53m ago•0 comments
Open in hackernews

Junior Developers Aren't Obsolete

https://github.blog/ai-and-ml/generative-ai/junior-developers-arent-obsolete-heres-how-to-thrive-in-the-age-of-ai/
10•frizlab•5mo ago

Comments

downrightmike•5mo ago
In a few years seniors will be getting 7 figures to deal with tech debt and juniors easily mid 6 figures because they are cheaper than the seniors, and there will still be fewer of them. Not everyone burned by the learn to code/get a difficult degree only to have nearly all jobs go to india, especially STEM jobs, will be around, and if they are, they will want compensation for this bullshit.
WCSTombs•5mo ago
While this is basically just an advertisement for GitHub Copilot, written by GitHub and published on their official blog, it does make a couple interesting points. Here they are:

1. You can use LLMs to help you learn faster.

2. Review other coders' code to help you learn.

I fully agree with the second one.

I only cautiously agree with the first one, and I'm pretty skeptical of the formula they give in the article. Traditionally, education is accomplished by studying primary and secondary sources, and then by practicing. LLMs don't somehow hack around that core idea, but I think there are ways they can streamline the process. What I propose is that you ask pointed questions to the LLM and have it provide sources in its answer, which you then go and check and read parts of. You still need to evaluate whether each source is trustworthy, but the LLM could save you the initial trouble of tracking down the sources in the first place.

My general advice here though is to tread very cautiously. I think there's a real danger of fooling yourself into thinking you did all of this learning when in reality you're outsourcing a crucial part of the learning process (such as critical thinking) to the LLM, and the really problematic part is that the LLM is pretty much the perfect tool to trap you in that way.

anon7000•5mo ago
I think it’s a bit of both. It’s very important to struggle with a problem yourself. You need your brain to be thinking about it, turning it over, at least for a bit.

But when you’re new on a topic, it can take hours to nail the solution by yourself. I’m thinking of science & math practice problems. If you skip ahead to look at the answer, you can use it to work backwards, to understand where you were struggling and going wrong.

Crucially, you’re not just copy/pasting the answer. But taking this “shortcut” early can definitely be helpful. It’s very easy to spend a lot of time going down the wrong path. If you can take the shortcut when you sense that’s happening, and really try to understand why that wrong path isn’t right, I think the shortcut can help speed you up.

I think the same applies with LLMs. It’s important to not just have the LLM do it all from the start. But when you start getting stuck, having it give you recommendations is a good way to get tutored, so long as you’re really thinking about it.