# EnzeD/vibe-coding

Repository: https://github.com/EnzeD/vibe-coding
Canonical: https://ross.abutalabs.com/products/vibe-coding
License Family: other
Last push: 2026-05-25T14:57:42+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 42, longevity 38
- inputs: {"age_days": 539, "days_push": 100, "days_rel": 230, "gap_med": 100, "n_releases_24m": 2}
- 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 4771, forks 2055 (observed 2026-08-28T04:08:59.411052+00:00)

## What it is
A community guide (Ultimate Guide to Vibe Coding) teaching how to build games and apps using AI coding agents like Claude Code and Codex CLI. It walks through planning documents, tech stack selection, and rule files (AGENTS.md) to keep AI-generated codebases manageable.

## Use cases
- learn how to vibe code a game with AI
- set up Claude Code or Codex CLI for app development
- write a game design document with an LLM
- create AGENTS.md rules for AI coding agents
- avoid messy AI-generated codebases
- build a multiplayer 3D game using AI assistance

## When to choose
- you want a step-by-step workflow for AI-assisted development
- you are new to using coding agents like Claude Code or Codex
- you want to build a game or app quickly with LLMs while keeping the code organized

## When to avoid
- you need production-grade software engineering practices without AI
- you prefer traditional hand-written development workflows
- you use tools other than Claude Code or Codex and want tool-specific guidance

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, developer-tools, documentation
- domain: developer-tools, tutorials, web-development, large-language-models
- platform: cross-platform, cli, editor-plugin
- tags: vibe-coding, ai-coding, claude-code, codex, guide, llm-workflow, game-design-document, game-development

## Member repositories
- EnzeD/vibe-coding (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:59.411052+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 2026-08-29T18:18:47.729049+00:00, confidence not recorded.
  - readme: https://github.com/EnzeD/vibe-coding (fetched 2026-08-28T04:08:59.411052+00:00, sha 89e0f8ecc17b)
- Data as of 2026-08-30T08:39:29.467469+00:00.