dumindunuwan

Why this feel so satisfied go through real random websites? every website unique unlike Tailwind a d AI slops.

This is what co-operate management thinks.

> Artists understand that AI is bad for art. Why don’t programmers understand that we are artists?

Because the vast majority of programmers are bad artists, they just did programming for money. Only few actually cared about true craftsmanship, readability for every level of programmers while maintaining maximum efficiency, true passionate programming or quality open-source without caring how much money earn. AI makes bad artists the best as they don't care the taste but quantity. Same applies for bad programmers.

A masterpiece!

Use https://dumindu.github.io/E25DX/ kind minimal theme or build a simple GoHugo theme and cut your tech-stack to 1 executable.

If you're reimplementing the wheel, at least do it in latest tech + minimal tech.

Location: Seeking On site Roles with Visa Sponsorship (Currently in Sri Lanka)

Remote: No

Willing to relocate: Yes, prefer Singapore

Technologies: Rust / Go

GitHub: https://github.com/dumindu

Résumé/CV: https://github.com/dumindu/dumindu/blob/master/Dumindu%20Mad...

Email: dumindu [dot] madunuwan [at] gmail

Use right tools! don't be a die hard fan of any language.

However, I used many tech stacks including Hexo navy theme, Docusaurus, Docsy but ended up creating my own setup with Hugo. If you can see, in the project it's more or html/css that can be used with any builder.

First time announced 2018: https://news.ycombinator.com/item?id=16594547

Now with Human written new design and lot of rewrites to match Rust 2024

The project started in 2016 as a Medium publication and GitBook but later moved to https://github.com/learning-rust/learning-rust.github.io

I was updating section by section from time to time. No lies! keeping a Rust tutorial up to date is very tough. Plus, you end up repeating what you already know. It is even tougher, when you have to write code in another language for work.

https://learning-rust.github.io updated to 2026 with lot of rewrites. Human-Authored and target human readers.

What's next?

https://github.com/dumindu/axum and some real world project ideas as a separate section parallel to the docs.

A modern thread per core concurrency focused concurrency docs section, maybe.

More details at https://learning-rust.github.io/journal/ and https://github.com/dumindu

Thanks

Already support:

- https://learningrust.org

- https://learningtypescript.org

- https://learningjavascript.org

- https://learningphp.org

- https://learningzig.org

- https://learningsql.org

More to come :D

No need Hundreds of NPM Packages & Thousands of CSS Classes For a Blog & Documentation Setup

Platform/ Lead/ Staff Go Engineer and Rust Enthusiast

Creator of

- learning-rust.github.io (1500+ GitHub Stars)

- learning-cloud-native-go.github.io (1000+ GitHub stars for codebase/ myapp and documentation)

https://github.com/dumindu

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Location: Currently stuck in Sri Lanka

Remote: No

Willing to relocate: Singapore, US, Poland, and any good stable location

Technologies: Go, Rust, Kubernetes, Istio,

Résumé/CV: https://github.com/dumindu

Email: Buzz me via https://www.linkedin.com/in/dumindunuwan

This can be just a Hugo theme with much lesser code https://themes.gohugo.io/tags/gallery/

Ex. Content can be in Git repo. Site can be build via static site generators + automated via CI update site when add new content to Git repo. We only need good blog theme, photo albums theme and profile theme to replace FB, Linkedin even TikTok. Publishers have full control on their own data.

I understand these points. As someone who truly love open source, we can see open source projects are becoming just a free training materials for AI. After training LLMs using open-source projects AI can build far superior software one day and that software may be not free, not able to replace by any non-AI software project. We all know that day is not far and that period of time all open-source software might consider legacy as no individual contributor able to implement stuff the speed of AI. What you are protecting is not only a legacy system we build decade old requirements and also the death of the purpose of why people build free software.

What we have to focus is why we created free software, not word by word terms that not fulfill the requirement at this and future time period.

Article 4(3) of the Digital Single Market (DSM) Directive establishes a legal bridge between AI governance and copyright law.

https://www.ddg.fr/actualite/the-european-unions-code-of-pra...

I meant I asked Gemini before and it told the same

The AI Act will be fully applicable from 2 August 2026.

Providers of GPAI models must respect Text and Data Mining (TDM) opt-outs.

2.1 Legal Basis: Article 53(1)(c) AI Act and Directive (EU) 2019/790 The Copyright Chapter of the Code directly addresses one of the most contentious legal questions in AI governance: the use of copyrighted material in training GPAI models and the risk of infringing outputs. Article 53(1)(c) AI Act requires GPAI providers to “identify and respect copyright protection and rights reservations” within their datasets. + This obligation complements the framework of Directive (EU) 2019/790 on copyright and related rights in the Digital Single Market (DSM Directive). Notably, Article 4(3) DSM Directive allows rightsholders to exclude their works from text and data mining (TDM) operations via machine-readable opt-outs.

https://www.ddg.fr/actualite/the-european-unions-code-of-pra...

This is what any AI agent tells

This should be about get permission from open-source developers before feeding their years of work into AI. I think we should not believe what Anthropic, OpenAI, Meta, Google tells. We should move to local LLMs instead.