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Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•2m ago•0 comments

Bash parallel tasks and error handling

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

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•3m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
1•birdculture•8m 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•14m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•15m ago•1 comments

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

https://slop-news.pages.dev/slop-news
1•keepamovin•20m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•22m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•28m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•32m ago•1 comments

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

2•InvoxoEU•32m 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•36m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•37m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•39m 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•41m 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•44m 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•45m 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•47m 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•48m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•50m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•53m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•58m 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

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments
Open in hackernews

Which Programming Language Should I Teach First: the least productive question

https://parentheticallyspeaking.org/articles/first-language-wrong-question/
2•matt_d•5mo ago

Comments

sema4hacker•5mo ago
I agree with the article that this is the wrong question to ask. I think the best way to teach programming is to start with the most basic concepts, independent of any language, such as the idea that computer memory consists of cells that can store data like text or numbers, and that we label these cells with names so we can tell the cells apart, just like mailboxes on a street.

Then there's the idea that we can move data between cells and input and output that data.

Then that we can do simple operations between cells, such as arithmetic and comparing and swapping.

At that point we know enough to write a simple program, such as inputting two numbers from the keyboard and outputting the largest on the display, using some trivial made-up language.

Then introduce looping, and solve the problem of inputting numbers until zero is input, and reporting the largest number found.

Then maybe simple structures such as arrays or lists or strings, then more complicated flow control such as nested loops and callable procedures or functions, persistent storage, and so on. At each stage, require solving simple "real world" problems such as a trivial billing program, or sales tax calculation, or a toy text editor, or simple histogram output.

Turns out most programs need and use very few programming concepts. A good introductory language would be as simple as possible, just sufficient enough to demonstrate and allow the writing of programs covering all the desired concepts in a 101 course. If the language being used can allow more than what's being taught in the 101 course, then it will have features and syntactic sugar that will invariably confuse and misdirect the student. Let a more powerful language wait until the next course, because the most important thing to teach initially are CONCEPTS such as named memory, operators, if-then-else, simple I/O, simple structures, looping, and so on, NOT the arcane syntax of some particular language.

The written material should include as many small but "useful" program examples as possible, first with each concept individually demonstrated, then combining concepts into more sophisticated less-toy-like examples. I've also found that a particularly powerful instruction method is to present a very short piece of code along with five supposed outputs by that code but for which only one output is correct, and make the student determine which output is the answer.