🧠 Why I Rebuilt My Entire Tech Foundation from Scratch


There’s a silent cost in jumping too fast to the “advanced” stack.
You become a feature-implementer, not a systems builder.
You know how to use tools, but not how to orchestrate them.
I realized I was moving fast but building brittle — so I paused everything and rebuilt my foundation the right way:
🚀 The Reset Stack
Instead of learning in fragments, I committed to two battle-tested pillars:
1. CS50 (Harvard)
Not just C and problem sets.
It rewired how I think about:
memory,
pointers,
abstraction,
and why code works (not just that it does).
2. Python for Everybody (University of Michigan)
Not basic at all when done right.
I treated it like a backend bootcamp — turning every script into a real-world tool.
💥 What Changed After That
I stopped finishing courses with throwaway files.
My final project for Python?
➡️ KRAWLIX — a modular CLI knowledge crawler, built like a microservice, not a script.
Pure Python. No dependencies. Real storage, fault-tolerance, and CLI input/output pipelines.
Built to evolve into RAG pipelines, LLM agent input systems, and eventually—backend-ready AI tools.
🛠 Why I’m Sharing This
Too many learners jump to GenAI before understanding their stack.
Too many developers never revisit the gaps they’re quietly building on.
This isn’t about going “back to basics.”
It’s about going deep into your leverage layer.
🔄 My Stack Philosophy Now
Jack of most trades.
Master of your leverage.
Ship weekly.
Share in public.
Build systems, not scripts.
💬 How did you rebuild your tech stack?
Let me know in the comments. Let’s compare systems.
📎 Follow My Build Journey
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