# datawhalechina/easy-vibe

💻  vibe coding 101｜The first course for AI-native product builders.

Repository: https://github.com/datawhalechina/easy-vibe
Canonical: https://ross.abutalabs.com/products/easy-vibe
Homepage: https://datawhalechina.github.io/easy-vibe/
Language: JavaScript
License Family: other
Topics: ai, course, vibe-coding, coding, genai, low-code, no-code, programming, tutorial, vibecoding, vscode, agent, gemini, gpt, llm, nextjs, openai, workflow, mcp, deepseek
Last push: 2026-08-25T01:50:10+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 64, longevity 17
- inputs: {"age_days": 248, "days_push": 9, "days_rel": 26, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 19120, forks 1830 (observed 2026-08-28T04:11:27.413562+00:00)

## What it is
Easy-Vibe is an open-source introductory course from Datawhale for AI-native product builders, teaching 'vibe coding' — building real products with LLMs, agents, and AI coding tools. It is a multilingual (10 languages) tutorial with an interactive web version, covering tools like GPT, Gemini, DeepSeek, MCP, and Next.js.

## Use cases
- learn vibe coding from scratch
- learn to build products with AI coding assistants
- beginner course for AI-native development
- learn to use LLMs and agents to build apps
- tutorial for coding with GPT and Gemini
- learn MCP and AI workflows
- no-code low-code product building course

## When to choose
- you are a beginner wanting to build products with AI assistance
- you want a free, multilingual, structured course on AI-native development
- you want hands-on projects using LLMs, agents, and modern web tools

## When to avoid
- you need a software library or tool rather than a course
- you want deep formal computer science or traditional software engineering training
- you need production-grade reference code under a permissive code license (content is CC BY-NC-SA)

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation, agent-framework, prompt-engineering
- domain: tutorials, artificial-intelligence, large-language-models, education, web-development
- platform: -
- tags: vibe-coding, ai-native-development, course, no-code, low-code, llm-tools, open-source-course, web-server, nodejs, vscode

## Member repositories
- datawhalechina/easy-vibe (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:27.413562+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:00:29.285815+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/easy-vibe (fetched 2026-08-28T04:11:27.413562+00:00, sha 10c377477d14)
  - homepage: https://datawhalechina.github.io/easy-vibe/ (fetched 2026-08-29T07:59:03.412262+00:00, sha b3a59228f9cb)
- Data as of 2026-08-30T08:39:29.467469+00:00.