AI coding is engineering, not magic.

Build something with AI,
and apply the methods to real projects.

From your first webpage to tested code changes and team collaboration. Choose your starting point and learn the principles behind the tools as you build.

Free access · No sign-in · Complete example and checklist

Start your first project Choose my learning path

What would you like to accomplish?

Choose a goal to begin. The complete course catalog is always available.

I’m new to coding and want to make something

All you need is a browser and the ability to save files

Finish a personal page you can open and edit

Start with your first webpage

I code and want to improve my projects

You know how to code and want to use AI at work

Define tests and acceptance criteria for a code change

Learn testing and quality

I lead a team and want to put AI into practice

You manage collaboration or a team pilot

Map human–AI roles, code review and delivery

Plan your team workflow

Your first project can start here

A personal page that runs from one file. Follow the tutorial, edit it and verify the result with a checklist.

A real HTML example you can scroll and click. Replace the English sample text with your own introduction.Download the complete index.html

Download blocked? View the full source

Copy all the text below, save it as index.html in UTF-8, then open it in your browser.

<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <meta name="description" content="A first website: introduction, work and learning notes.">
  <title>Lin | My first website</title>
  <style>
    * { box-sizing: border-box; }
    html { scroll-behavior: smooth; }
    body { margin: 0; background: #f7f5ff; color: #222039; font: 17px/1.7 system-ui, sans-serif; }
    main, nav, footer { width: min(860px, 100% - 40px); margin: auto; }
    nav { display: flex; flex-wrap: wrap; justify-content: space-between; gap: 16px; padding-block: 22px; border-bottom: 1px solid #dcd6ed; }
    nav div { display: flex; gap: 24px; }
    a { color: #5b21b6; text-underline-offset: 5px; }
    a:focus-visible { outline: 3px solid #5b21b6; outline-offset: 5px; }
    header { padding-block: 56px 40px; }
    h1 { font-size: clamp(36px, 7vw, 68px); line-height: 1.15; letter-spacing: -0.03em; margin: 14px 0 24px; }
    h2 { font-size: 24px; line-height: 1.3; }
    p { max-width: 60ch; }
    .tag { color: #5b21b6; font-weight: 650; }
    .button { display: inline-flex; min-height: 44px; align-items: center; padding: 9px 20px; border-radius: 10px; background: #5b21b6; color: white; text-decoration: none; }
    section { padding-block: 28px; border-top: 1px solid #dcd6ed; scroll-margin-top: 24px; }
    footer { padding-block: 24px; color: #514a66; font-size: 14px; }
    @media (prefers-reduced-motion: reduce) { html { scroll-behavior: auto; } }
  </style>
</head>
<body>
  <nav aria-label="Main navigation">
    <strong>Lin.</strong>
    <div><a href="#work">My work</a><a href="#about">About</a></div>
  </nav>
  <main>
    <header>
      <p class="tag">Learning by making</p>
      <h1>Small ideas.<br>Real things.</h1>
      <p>I'm Lin. This is my first website. I am learning to turn a clear idea into a page that people can use.</p>
      <a class="button" href="#work">See my first project</a>
    </header>
    <section id="work" aria-labelledby="work-title">
      <h2 id="work-title">My first project</h2>
      <p>A personal page built with HTML and CSS. I can change its content, follow its links, and read it on a phone.</p>
      <a href="#about">Read what I learned</a>
    </section>
    <section id="about" aria-labelledby="about-title">
      <h2 id="about-title">What I learned</h2>
      <ul><li>Describe a small, clear goal.</li><li>Build one working version.</li><li>Check the result and improve it.</li></ul>
      <p>Next: replace this example text with my own introduction and project.</p>
    </section>
  </main>
  <footer>Learning example for EasyGoVibeCoding. This is a fictional profile.</footer>
</body>
</html>

Read the full build tutorial

Course contents · 7 articles · three learning tracks

Choose your learning path

Getting started → engineering implementation → monetization at scale, three tracks at a glance

Entry line

From zero basics to mastering mainstream AI tools3 Page

Basics

Getting started from scratch

Never written code? No problem. Understand AI coding tools, master the basics, and create your first project.

7 learning unitsEstimated 8 hours(including practice)

Start learning

Tools

In-depth Analysis

The system is familiar with tools such as Cursor, Windsurf, and Claude Code, and understands the core technologies of MCP, Skill, and Agent.

8 learning unitsEstimated 15 hours(including practice)

Start learning

Advanced

From tools to architecture

Gain a deep understanding of the principles and advanced features of AI coding tools, and master enterprise practices and architectural trade-off thinking.

14 learning unitsEstimated 12 hours(including practice)

Start learning

Engineering line

Understand architectural principles and build projects that can truly be put into practice2 Page

Architecture

Large model architecture

Understand architectures such as Transformer, Mamba, MoE, and RAG, and master the thinking behind architectural selection.

10 learning unitsEstimated 10 hours(including practice)

Start learning

Practical Section

Project practice

Master AI programming tools through real projects and build end-to-end practical experience from requirements to delivery.

13 learning unitsEstimated 20 hours(including practice)

Start learning

Scalability line

Productize capabilities, from individual to team to commercialization2 Page

Team section

Build an AI team

An enterprise AI team-building guide for organizing AI teams, establishing workflows, and building a learning organization.

11 learning unitsEstimated 12 hours(including practice)

Start learning

Super Individual Chapter

Scale personal capabilities

Turn your capabilities into a system that is deliverable, repeatable, and compounding: positioning → productization → automation → growth → review.

6 learning unitsEstimated 10 hours(including practice)

Start learning

Save your learning profile

Your nickname and learning role stay in this browser, with no cross-device sync. You can learn and track progress without a profile.

Model updates · Check sources and dates

Model updates: what they mean for your work

Start with the task, then compare model specifications. Browse updates and sources below; before switching models, test results, costs and limits on your own work.

Reference data

Learning tip:For your first project, keep using a tool that meets the task. Before changing models in an engineering project, rerun your tests. We have not individually verified how these updates affect each tutorial.

You are viewing previously verified reference data, which may omit recent changes. Check the data date below.

Sources, dates and ranking notes

Source:seed-official-verified-2026-07-20. Data updated:07/20/2026, 08:00。

Official release dates and catalog listing dates are labeled separately. A listing date is not an official release date. Tiers summarize catalog and public information; they are not our own cross-model benchmarks and may not apply to every task.

Refreshing requests data again; it does not mean the content was just published. If reading fails, the current data stays visible. Reference data is shown until online data has been read. You do not need to configure any keys.

Recently listed updates

2026-07-16
xAIGrok 4.5 released and now available through the xAI API
xAI released Grok 4.5 as a frontier model for coding, agentic tasks, and knowledge work. It offers a 500K context window, configurable reasoning effort, and native tool calling.
2026-07-09
OpenAIGPT-5.6 Sol / Terra / Luna released
OpenAI has launched the GPT-5.6 series: Sol is for frontier capabilities, Terra balances intelligence and cost, and Luna is designed for high throughput; the gpt-5.6 alias points to Sol.
2026-06-24
MoonshotKimi K2.7 Code is now available in the Kimi API documentation
Kimi API documentation announcement K2.7 Code has been officially released, and the high-speed version is now available simultaneously. Supports 256K context, long thinking, text/image/video input, and tool calls.

First-tier (flagship)

1
Claude Fable 5
Anthropic
1M
Anthropic's most powerful public model, for the most demanding reasoning and long-horizon agent work
2
GPT-5.6 Sol
OpenAI
1.05M
OpenAI flagship for complex reasoning and coding listed on the official model page
3
Grok 4.5
xAI
500K
xAI describes it as its smartest and fastest model yet, built for coding, agents, and knowledge work
4
Gemini 3.5 Flash
Google
1,048,576
GA stable model, described in Google docs as the smartest Flash model

Open model history and original sources

Historical model timeline

Prefer the official release date; items that cannot be officially verified are marked as directory listing time.

Can scroll to view all

Data update time:07/20/2026, 08:00· This request:07/20/2026, 08:00· Data source:seed-official-verified-2026-07-20

Explore tools, open-source projects and resources

Ecosystem navigation · curated preview

See AI programming tools at a glance

IDE / web / CLI / design tools + mainstream large models · model data07/20/2026, 08:00· SourceStatic seed

View the complete ecosystem

Cursor

IDE-like

AI-first IDE, supports Skill/Agent/MCP

AI IDEAgent

Claude Code

Command line

Terminal-integrated AI assistant, the MCP ecosystem is the most active

TerminalAnthropic

v0

Web editing

Generate UI with natural language, Figma integration

UI generationVercel

Windsurf

IDE-like

Fast Context technology, 1M token context

Long context

Aider

Command line

AI pair programming in terminal, Git native

TerminalGit

Figma

Design tools

Collaborative UI design tools enhanced with AI features

UI designCollaboration

GitHub Trending · Selected in-depth projects

Turn popular open-source projects into your capabilities

8 1 curated in-depth project · 4 Trending entries · 4 high-Star direction searches; on the homepage, first look at the thumbnails, then go to the detailsGitHub Trending。

View all curated selections

everything-claude-code

ECC code optimization giant

Ultra-large-scale agents/rules/skills/hook system: performance optimization, rule binding, security review, and continuous evolution.

AgentsRulesHooks

superpowers

Highly disciplined AI programming engineering OS

A strict process upgrades AI from a “typist” to an “engineer/architect”: TDD, division of labor, acceptance.

TDDWorktreeReview

agency-agents

Organized anthropomorphic enterprise team

Move the “organization” into the repository: a large number of role templates with metrics and deliverables, collaborating by department.

OrgMetricsPlaybooks

get-shit-done

GSD anti-context-corruption system

Engineering countermeasures against Context Rot: planning → wave-based isolated execution → acceptance → atomic commit.

ContextPlanExecute

skills

Minimalist Entrepreneur skill library

The 10 startup companion skills from "The Minimalist Entrepreneur": prioritize validation, and oppose building first and selling later.

EntrepreneurValidation

TradingAgents

Macro-environment financial trading agent

Multi-agent collaboration + debate/reflection + risk-control closed loop to make more robust trading decisions.

Multi-AgentDebateRisk

Selected resources · 6 One category

Let good content come find you

Top tech blogs, AI podcasts, industry reports, newsletters, developer communities, and high-quality courses, with commonly used links curated by category.

Enter the resource library

Technical blogs of well-known companies

5 Selected articles

OpenAI / Anthropic / Google / Meta / Vercel

High-quality podcasts

4 Selected articles

Latent Space / Practical AI / Lex Fridman

Research Report

4 Selected articles

State of AI / Stanford AI Index / McKinsey / Gartner

High-quality Newsletter

4 Selected articles

The Batch / Import AI / AI Snake Oil

Developer community

4 Selected articles

Hacker News / r/MachineLearning / Discord

Learning resources

4 Selected articles

fast.ai / Karpathy / 3Blue1Brown / Coursera

Help us make the tutorials better

Courses are free. Your learning profile and progress stay in this browser. Feedback is published only with permission and after identifying details are removed.

Content revision · 2026-09-22

The beginner project now includes a complete personal-page example, step-by-step instructions, troubleshooting and an acceptance checklist. Course counts and search entries have also been aligned.

Source checks, example execution and real beginner testing are recorded separately. Tell us exactly where you got stuck to help us improve.

Read the updated tutorial

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Build something with AI, and apply the methods to real projects.

What would you like to accomplish?

I’m new to coding and want to make something

I code and want to improve my projects

I lead a team and want to put AI into practice

Your first project can start here

Choose your learning path

Entry line

Basics

Tools

Advanced

Engineering line

Architecture

Practical Section

Scalability line

Team section

Super Individual Chapter

Model updates: what they mean for your work

Recently listed updates

First-tier (flagship)

Historical model timeline

See AI programming tools at a glance

Cursor

Claude Code

v0

Windsurf

Aider

Figma

Turn popular open-source projects into your capabilities

everything-claude-code

superpowers

agency-agents

get-shit-done

skills

TradingAgents

Let good content come find you

Technical blogs of well-known companies

High-quality podcasts

Research Report

High-quality Newsletter

Developer community

Learning resources

Help us make the tutorials better

Content revision · 2026-09-22

Learner feedback

Send me your feedback

Contact

Send feedback

Build something with AI,
and apply the methods to real projects.