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--- ai:prompt:learning-new-technologies [2026/06/17 06:44] – created phong2018
+++ ai:prompt:learning-new-technologies [2026/06/18 00:36] (current) – phong2018
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+When learning any tech (Kafka, Redis, TCP, etc.):
+. Start with WHY (Purpose / Motivation: most important first): Why does this exist?
+. Then WHAT (Concept / Definition: structure, components): What is it?
+. Then HOW (Implementation / Usage: flow, example, code)
+. Then build something small
+. Final summay by yourself (why, what, how)
 ====== Framework: Learn Any Technology from First Principles ======
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 Theory lasts.
+=======Claude.ai=======
+====== Prompts to Learn the Theory Behind Any Technology ======
+===== Core Prompt Templates =====
+==== 1. The "Mental Model First" Prompt ====
+  Before explaining how to use [technology/concept], explain:
+  - What problem does it solve?
+  - What is the core theory/principle behind it?
+  - What are the fundamental building blocks?
+  - How does the theory map to the implementation?
+==== 2. The "Taxonomy" Prompt ====
+  Give me a taxonomy of [topic].
+  - What are the main categories?
+  - What theory does each category come from?
+  - When would you choose one over another?
+  Example: "Give me a taxonomy of authentication methods and the theory behind each"
+==== 3. The "Why Does This Exist" Prompt ====
+  Explain [technology] from first principles:
+  - What problem existed before it?
+  - What theoretical insight solved it?
+  - How does the implementation reflect that theory?
+  - What tradeoffs did the design make?
+==== 4. The "Layer by Layer" Prompt ====
+  Explain [technology] in layers:
+  - Layer 1: The math/science/theory underneath
+  - Layer 2: The abstract concept built on that
+  - Layer 3: The protocol/standard that implements it
+  - Layer 4: The library/tool I actually use
+  Example: "Explain JWT in layers from cryptography theory to Express middleware"
+==== 5. The "Compare From Theory" Prompt ====
+  Compare [A] vs [B] vs [C] starting from theory:
+  - What shared theory do they come from?
+  - Where does each one diverge in its approach?
+  - What does each tradeoff to gain something else?
+  Example: "Compare symmetric vs asymmetric encryption vs hashing from theory"
+===== Applied to Your Examples =====
+^ Topic          ^ Prompt to Use                                                                                                                                 ^
+| **Auth**       | //Give me a taxonomy of authentication. Start from the theory of identity verification, then map each method (password, API key, JWT, session) to that theory// |
+| **Encryption** | //Explain encryption from first principles — what is the mathematical problem each type relies on, and how does that lead to symmetric vs asymmetric?//          |
+| **SSO**        | //Why does SSO exist? Explain the theory of federated identity, then show how SAML/OAuth/OIDC each implement that theory differently//                           |
+| **Databases**  | //Explain database indexing in layers — from the data structure theory (B-tree, hash) to how Postgres implements it//                                            |
+===== Master Prompt (Reusable) =====
+  I'm learning [technology/concept]. Don't start with how to use it.
+  Instead:
+. What is the core theory or problem it's based on?
+. What are the main categories or approaches, and why do they differ?
+. How does the theory translate into the actual implementation?
+. What are common misconceptions people have when they skip the theory?
+  Then give me a concrete example that connects theory → implementation.
+> This gives you **the why before the how**, so implementation always makes sense instead of feeling like memorization.