Curated learning paths with focused episodes. Filter by status and sort by what matters.
Three posts on how databases physically store and recover data — pages, heap files, B-Tree vs LSM-Tree, and the Write-Ahead Log that guarantees nothing is ever lost.
Three posts on the SQL that separates mid-level from senior developers — window functions, CTEs, EXPLAIN plans, query optimization, and deliberate schema design trade-offs.
Five posts covering what every developer must know about databases — from how a DBMS works and how to design schemas, to SQL, indexes, and transactions with ACID.
Five deep-dive posts on the algorithmic techniques behind every hard interview problem. Sorting, recursion, dynamic programming, greedy, and divide & conquer — with the reasoning frameworks that make optimal solutions feel inevitable.
Master the 6 data structures that appear in 80% of technical interviews. Each post goes deep on one structure — how it works under the hood, every interview pattern it unlocks, and the exact templates that win offers.
Before you write a single line of code, you need to think like an interviewer. This 3-part foundation series covers the mindset, the math, and the pattern recognition framework that separates candidates who get offers from candidates who get stuck. Start here — everything else builds on this.
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