#llm-documentation

AI/LLM topics — agents, prompts

HTML, CSS, JS, HTTP, URL basics

TypeScript, Java, Python, Rust

Data structures, Big-O, patterns

React, Next.js, Tauri, Tailwind

Spring, FastAPI, SQL

Claude Code · MCP · Context7 · Figma — overview of AI coding tools

Deployment options and decision criteria

PostgreSQL · Kafka · data strategy notes

Docker, Compose, Caddy, SSH

Windows vs Mac and other dev-environment notes

Cross-platform options compared (Tauri · Flutter · RN)

pnpm, uv, Gradle, Git, regex

KISS · DRY · YAGNI · naming — development philosophy

OAuth · JWT · security fundamentals

Testcontainers, Vitest, pytest

Searching, reading docs, debugging