Big-O Without the Fear: Why Some Code Scales and Some Doesn't
Learn what Big-O really means, how to estimate it by reading code, and why it explains vector search indexes, expensive long prompts, and the hidden cost of chat history.
#algorithms
Posts tagged #algorithms
Algorithms You'll Actually Use: Sorting, Searching, Recursion, and Beam Search
Sorting, searching, recursion, dynamic programming, and beam search explained in plain language, with AI examples like chunking documents and fixing misspelled tool calls.
Data Structures for AI Engineers: Arrays, Hash Maps, Trees, Graphs, and Heaps
A practical tour of arrays, hash maps, stacks, queues, trees, heaps, and graphs in Python, and where each one quietly shows up in AI tools, from top-k search to agent workflows.
Big-O Notation Explained: The Regex That Took Down Cloudflare for 27 Minutes
Day 1 of the DSA Mastery Series — the concept every post after this one leans on
Bloom Filters: The Data Structure That's Allowed to Lie (A Little)
A data structure that says 'definitely not' with total certainty, and 'probably yes' with a small, precisely measurable error rate.