Technical House
Learn hub

Build skills. Use AI. Ship work.

A multi-year teaching library plus interactive labs — not a thin blog index. Start a track, open the archive, or jump into tools.

Aspiring web developers

Clear paths from HTML to shipping a live site — without drowning in 40 random tutorials.

Builders using AI daily

Stop guessing prompts. Learn a repeatable system for debugging, scaffolding, and code review.

Students & freelancers

Templates, downloads, and guides you can reuse on client work and portfolio projects.

Library

Depth on every route

Tracks

Three paths. Clear outcomes.

Build

Web Development

Modern frontend and full-stack foundations — HTML structure, CSS systems, JavaScript, React, APIs, and shipping production sites.

  • Ship responsive landing pages and app UIs
  • Understand components, state, and data fetching
  • Deploy with confidence and debug faster

Curriculum

  1. 01Semantic HTML & accessible layouts
  2. 02CSS layout systems (Flexbox, Grid, fluid type)
  3. 03JavaScript essentials for the browser
  4. 04React components, props, and state
  5. 05Fetching APIs and handling loading/error states
  6. 06Forms, validation, and UX polish
  7. 07Performance basics: images, fonts, Core Web Vitals
  8. 08Deploying a real project end-to-end
Explore track

Augment

AI for Developers

Use AI as a coding partner — not a crutch. Learn how to plan features, review code, generate tests, and stay in control of quality.

  • Speed up scaffolding without shipping junk
  • Ask AI the right questions for your stack
  • Review AI output like a senior engineer

Curriculum

  1. 01What AI is good at (and where it fails)
  2. 02Using Cursor / Copilot productively
  3. 03Turning tickets into clear AI briefs
  4. 04Generating tests and edge cases
  5. 05Refactoring safely with AI suggestions
  6. 06Avoiding hallucinated APIs and insecure patterns
  7. 07Building a personal AI workflow for web work
Explore track

Craft

Prompt Engineering

Write prompts that get reliable results — roles, constraints, examples, and output formats tailored for web development tasks.

  • Score and improve any prompt in seconds
  • Reuse battle-tested templates for coding tasks
  • Get consistent, usable outputs from any LLM

Curriculum

  1. 01Anatomy of a strong prompt
  2. 02Role + task + context + constraints
  3. 03Few-shot examples that actually help
  4. 04Output formats: JSON, tables, checklists
  5. 05Iterating when the model goes wrong
  6. 06Prompts for debug, refactor, SEO, and APIs
Open Prompt Lab

Latest from the archive

Newest dated guides in the knowledge base

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