system-design-primer VS developer-roadmap

A deeply-synthesized, opinionated reference distilled from five canonical sources: donnemartin/system-design-primer · ByteByteGoHq/system-design-101 · karanpratapsingh/system-design · ashishps1/awesome-system-design-resources · binhnguyennus/awesome-scalability

There are many references, it's more important to have a general sense of what's happening and the relative costs than hard numbers (which tend to shift as hardware gets closer to ideal and software becomes worse at avoiding bloat).

https://github.com/donnemartin/system-design-primer?tab=read...

Study real architectures. This repo is a solid starting point: https://github.com/donnemartin/system-design-primer

GitHub: donnemartin/system-design-primer (Intro + CAP)

One of the best free resources for real engineering fundamentals. https://github.com/donnemartin/system-design-primer

System Design for Beginners bookmark this even if you don’t need it yet

Name: public-apis Owner: public-apis Stars: 144910 Repository: https://github.com/public-apis/public-apis Description: A collective list of free APIs Name: system-design-primer Owner: donnemartin Stars: 139818 Repository: https://github.com/donnemartin/system-design-primer Description: Learn how to design large-scale systems. --snip-- Name: Python Owner: TheAlgorithms Stars: 113616 Repository: https://github.com/TheAlgorithms/Python Description: All Algorithms implemented in Python

System Design: https://github.com/donnemartin/system-design-primer

github.com/nilbuild/developer-roadmap. 354k stars. Originally kamranahmedse/developer-roadmap, now under the nilbuild org. The DevOps roadmap is at roadmap.sh/devops.

If you're a developer, you probably know roadmap.sh. It's the gold standard for figuring out what to learn, packed with community-curated articles and videos.

Useful for many languages and technologies, roadmap.sh is a community-driven site offering free, visual learning roadmaps. The Python Developer roadmap guides you step by step from Python fundamentals to advanced topics.

Recently, while revising Node.js, I came across the project section Node.js roadmap on roadmap.sh(https://roadmap.sh).

You can also check out roadmap.sh to get a visual idea of what you’re working toward. Just pick one path and follow it for a few weeks. No need to jump between 10 tutorials hoping one of them will unlock your genius.

supermatt makes an interesting distinction there: if you're more interested in the practical/professional aspect, don't get too sidetracked in the theoretical side.

Computer Science is fascinating and wide, but if you're interested in reskilling into a new, professionally profitable sector, veering too much into the theoretical aspect can prove detrimental.

However, as you mention, your objectives will adjust the more you come to learn, so it's important to keep an open mind and read more widely than just the next necessary thing.

Just beware of ADD side-tracking you, and have clear road maos. (Speaking from personal experience there, I always have to keep a check on my direction during both study and work, lest I lose too much time without much benefit.)

Speaking of roadmaps to study, perhaps this site can provide an early guide, augmented by books and courses, for your chosen field:

https://roadmap.sh/

And don't let your age deter you. People who love what they do are rare and priceless in any age range. If a company doesn't want to hire you due to your age, then that's probably a company you wouldn't enjoy working for anyway.

​Roadmap.sh​ is a wonderful resource for any developer. It gives you a terrific map of the things you could learn in the future and helps you understand where in the learning journey you probably are.

> everything is human-reviewed and open-sourced for community auditing

2 projects worth checking out here: https://github.com/kamranahmedse/developer-roadmap (open-sourced roadmaps, no course content) and also https://github.com/ossu for more college curricula level (with references to outside courses).

I've been personally working on AI generated courses for a couple of months (probably will open source it in 1–3 months). I think the trickiest part that I haven't figured out yet is how to kind of build a map of someone's knowledge so I can branch out of it, things like "have a CS degree" or "worked as a Frontend Dev" is a good starting point, but how to go from there?

I really like how Squirrel AI (EdTech Company) breaks things down — they split subjects into thousands of tiny “knowledge points.” Each one is basically a simple yes/no check: Do I know this or not?

To navigate effectively in this new era, you need to master both fundamentals and modern tools. Roadmap.sh offers a comprehensive guide, but here are the critical areas every engineer should master: