Question library
Explained questions for the decisions developers make.
Python DSA basics
Common Python structures
Arrays and strings in Python
Common questions
Hashing and maps in Python
Why it matters
Linked list in Python
Node structure
Stack and queue in Python
Stack
Recursion and backtracking in Python
Common questions
Trees and BST in Python
Tree node
Heap and priority queue in Python
Built-in heapq
Graphs in Python
Graph representation
Dynamic programming in Python
Common questions
Binary search and greedy in Python
Binary search
Sliding window and two pointers in Python
Common questions
Important Python interview topics
1. List vs tuple vs set vs dict
Best Python DSA practice list
Must know
Overview
One of the most important lessons I learned while working with AI-powered workflows is that an LLM does not need to make every decision.
Why Not Let the LLM Control the Entire Workflow?
An LLM is useful for interpreting natural language, but its output is probabilistic. Two similar messages can produce different wording or interpretations. This is acceptable for many conversational tasks, but it becomes risky when the syst
The Architecture at a Glance
The critical separation is between interpreting language and making business decisions.
What the LLM Does
The LLM acts as an information extraction layer, not as the authority for workflow execution.
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