First Principles.
Built to Ship.

Distributed systems, patterns, and full case studies.

Deep dive: storage engines, replication, consensus, and full design case studies.

72 interview questions, each answered as a chain of whys — fundamentals through full designs.

My build — how to explain AttemptIQ's design in an interview, down to every trade-off.

My build — ScoreResume's design reverse-engineered from first principles, plus interview prep.

The interviewer kills your cache, your primary, a downstream. Failure and reliability fundamentals, then drills where your design gets broken on purpose.

One concept per page, about seven minutes each. A story, the core idea in diagrams, and a cheat sheet to revise from the night before.

Big O through dynamic programming — data structures and algorithms for coding rounds.

LLMs, prompting, tool use, agents, evals — from frozen oracle to shipped product.

Interview practice for AI engineering roles: bugs that only LLM apps have, as click-to-spot drills, and LLM system design drills with model answers.

LLM apps, RAG, agents, memory, MCP and Claude in pure JavaScript — a reading track that follows the GenAI with JS 2026 session order.

HTTP, REST, auth, middleware — everything a backend is built on.

PostgreSQL internals, indexes, queries, transactions from first principles.

Browser machine, React, Next.js, performance, security.

Critical rendering path, the main thread, workers, virtualization, live data dashboards, Canvas and WebGL: frontend engineering beyond the framework.

Async JavaScript for the new interview: catch race conditions, fix broken async code, write the polyfills, and defend your design decisions.

Find, rank and explain bugs in a codebase you didn't write: a graded catalogue from one-line slips to production failures, a reading method, and click-to-spot drills.

Finding bugs instead of guessing — the method, error codes, HTTP status, browser, logs, tracing, and a casebook of real investigations.

From idea to deployed product — PRD, wireframes, HLD, ERD, LLD, and deploy plans for 7 real apps.

Getting found — by search engines, answer boxes, and the AI systems that now sit between you and your users.