# automata/aicodeguide

AI Code Guide is a roadmap to start coding with AI

Repository: https://github.com/automata/aicodeguide
Canonical: https://ross.abutalabs.com/products/aicodeguide
Homepage: https://aicode.guide
License Family: other
Topics: ai, aicode, aicoding, llm, vibe-coding, course, roadmap
Last push: 2026-03-23T17:11:35+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 35, longevity 36
- inputs: {"age_days": 512, "days_push": 163, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2702, forks 248 (observed 2026-08-28T04:07:11.438041+00:00)

## What it is
AI Code Guide is a curated, FAQ-style roadmap for learning to code with AI assistants and 'vibe coding', maintained by Vilson Vieira and Eric S. Raymond. It aggregates tools, practices, and resources around AI-assisted code generation in one accessible document.

## Use cases
- learn how to start coding with AI
- understand vibe coding practices
- find the best AI code assistants and editors
- keep up with new LLM coding tools and protocols like MCP
- get started building software with AI without prior coding experience

## When to choose
- you are a developer new to AI coding assistants and want curated best practices
- you are a non-programmer curious about building software via vibe coding
- you want a single up-to-date reference instead of scattered resources

## When to avoid
- you need executable software or a tool rather than a guide
- you want a formal structured course with exercises and certification
- you need deep technical documentation of a specific AI coding product

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: large-language-models, tutorials, developer-tools, artificial-intelligence
- platform: -
- tags: vibe-coding, ai-coding, roadmap, guide, faq, web-server

## Member repositories
- automata/aicodeguide (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:11.438041+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 2026-08-30T02:15:57.314368+00:00, confidence not recorded.
  - readme: https://github.com/automata/aicodeguide (fetched 2026-08-28T04:07:11.438041+00:00, sha b27143fe033d)
  - homepage: https://aicode.guide (fetched 2026-08-29T09:59:25.559751+00:00, sha 148ccb090eeb)
- Data as of 2026-08-30T08:39:29.467469+00:00.