Surprise Over Age of Fundamental Algorithms: Modern AI Excluded from Standard University Courses
Introduction: The Timeless Nature of Algorithms When you crack open a standard Data Structures and Algorithms textbook, it’s easy to assume the conten…
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Sliding Window: The Force Awakens – Detect the Pattern and Never Get Stuck Again
The Quest Begins (The “Why”) I still remember the first time I faced a “minimum size subarray sum” question in an interview. The problem stared back a…
How Constraints Changed the Way I Think About Algorithms
Over the past couple of years, I've spent a lot of time preparing for software engineering interviews. Like many developers, I started my Data Structu…
Deutsch Algorithm Revisited: Quantum vs Classical Implementation in Qiskit
In the previous post on the Deutsch algorithm , we covered the theory. Here we implement both the classical and quantum approaches in Qiskit so the qu…
Segment Trees: The “Divide‑and‑Conquer” Trick That Actually Makes Sense
Segment Trees: The “Divide‑and‑Conquer” Trick That Actually Makes Sense Quick context (why you're writing this) I remember the first time I saw a segm…
The Fastest Set Is Often Not a Set: 4050 Duplicate-Detection Benchmarks
Duplicate detection looks solved: keep a hash set, skip what you have already seen. A benchmark suite of 4050 measurements across 480 workloads says t…
DSA vs. Real-World Coding Interviews — and Where Does AI Leave Us?
For a long time, I have come across the debate on the right way to vet technical candidates: should interviews focus on Data Structures & Algorith…
Markov Chain Coin Sequence: E[HH] vs E[HTH] Explained
In This Article The Question The Intuition Trap Building the State Machine for HH Solving the System: E[HH] = 6 Building the State Machine for HTH Sol…
Top 5 Data Visualizations for Algorithmic Trading (With Python Code)
Top 5 Data Visualizations for Algorithmic Trading (With Python Code) Most algo traders write signals. Almost none visualize them correctly. You can ha…
Vitalii Kiro: The Drone War Is Over. The War of Algorithms Begins
When people say that Ukraine has become a “testing ground” for Western technologies, there is some truth to it. But that truth is incomplete — and eve…
Thoughts on Codingame 2026 Spring challenge
Thoughts on Codingame 2026 Spring challenge (Trolls in woods) I liked the challenge a lot, the most enjoyable experience so far! I even reached legend…
no-cycle finds 0 cycles in next.js (and other lies caches tell you)
We benchmark import-next/no-cycle against eslint-plugin-import/no-cycle and oxlint's native Rust port on next.js (131K stars, 14,556 source files). Th…
I read the X (Twitter) algorithm source for 4 days and built a Claude Code sub-agent that scores drafts before posting
Twitter's recommendation algorithm has been open-source since March 2023. I spent four days reading it. Here's what those four days taught me — and th…
Solving a Logistics Problem Using Genetic Algorithms
A week back, I started exploring Genetic Algorithms — and honestly, the concept blew my mind a little. The idea that you can solve complex optimizatio…
Visualizing 4 Sorting Algorithms with JavaScript Generators — O(n ) vs O(n log n) in Real Time
Sorting visualizers are a genre. This one is different in one way that matters: the algorithm code has zero knowledge of the DOM . Bubble, Insertion, …
How I Solved N-Queens Using Bitmasking (Step-by-Step Guide)
🚀 Solving N-Queens Using Bitmasking (Step-by-Step Guide) 🧠 Problem Overview The N-Queens problem : Place n queens on an n × n chessboard such that no …
How I Built a Vedic Panchang Engine in TypeScript — Swiss Ephemeris, Meeus Fallback, Zero External APIs
Sub-arcsecond planetary positions, sunrise for any location on Earth, and an entire astronomical calendar — all computed server-side in a Next.js app.…
Python list Internals: How Dynamic Arrays Work Under the Hood
A Python list is a capacity-adaptive linear container backed by a dynamic array . This design gives list excellent performance for tail operations, bu…
How Classical Machine Learning Works — From Linear Models to Random Forests
Classical machine learning is not outdated. It is still one of the best ways to understand how models learn from structured data. Before deep learning…
Am I Ready for FAANG? A Better Test Than Solving More LeetCode
You've solved 200 problems. Mediums you've already seen take fifteen minutes. The next one you haven't seen freezes you cold inside of five. And every…
Linear Search vs Binary Search (and Why It Actually Matters)
When you're working with data, one of the most common things your code does is search. Let's say you have a list of users, transactions, or even just …
The 90 Day FAANG Prep Plan That Actually Works
You count the weeks between today and your on site. Twelve. You pull up a 90 day FAANG prep plan and the structure looks reasonable: easy problems for…
Trading fee calculator that shows costs in R (units of risk)
Most trading fee calculators show you two numbers: the dollar amount and the percentage of notional. Both are correct. Neither is useful. Here's the p…