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Neural Foundry's avatar

Solid curation of resources here. The progression from company blogs to personal newsletters to books creates a natural learning path that matches how most ppl actually level up. One thing I'd add is that Martin Kleppmann's DDIA is probly the single best investment for understanding trade-offs in distributed systems, but it's dense, so pairing it with ByteByteGo's visual breakdowns makes the concepts way more digestible. The recommendation to read a chapter after coding each day is spot-on, that's when abstract patterns click becuase you've just hit the problem they solve.

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Hodman Murad's avatar

Real world case studies beat abstract theory every time. Thanks for putting this together!

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John Brewton's avatar

Learning sticks faster when examples come from real systems.

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Raul Junco's avatar

Thanks for the solid compilation and shoutout, Jakub!

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Petar Dimov's avatar

Framing system design through real-world engineering blogs makes the learning curve far less abstract and far more practical. This is a valuable guide for anyone building intuition beyond theory.

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Melanie Goodman's avatar

You asked, "How do you learn system design without getting overwhelmed?" The key is what you've just modelled: treat it as an ongoing conversation with the community, not a solo study session. A study from GitHub’s Octoverse report (2025) showed developers who followed technical blogs and open-source project threads were 3.4× more likely to retain new architectural concepts over time.

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