> ## Documentation Index
> Fetch the complete documentation index at: https://docs.hiroleague.com/llms.txt
> Use this file to discover all available pages before exploring further.

# References

> Core handbooks, official stacks, courses, principles, and recommended AI coding tools.

Curated external resources for AI-assisted development. Each title links to the source in a new tab.

<Info>
  This page intentionally omits informal “research dumps” and generic anti-patterns lists—favor the linked handbooks and standards below for actionable guidance.
</Info>

## Core handbooks

* <Icon icon="compass" size={20} /> **[Beyond Vibe Coding](https://beyond.addy.ie/)**

  A practical long-form guide to AI-assisted development as a spectrum, from fast prototyping to production-ready engineering.

* <Icon icon="github" size={20} /> **[AI Code Guide](https://github.com/automata/aicodeguide)**

  A free GitHub handbook that consolidates AI coding workflows, prompting practices, planning, testing, and safety guidelines.

* <Icon icon="bot" size={20} /> **[Agentic Coding](https://agenticoding.ai/docs)**

  A reference-manual style course for engineers covering agentic workflows, planning, testing, debugging, and code review with AI.

## Official documentation stacks

* <Icon icon="book" size={20} /> **[OpenAI developer docs](https://developers.openai.com/)**

  OpenAI’s documentation ecosystem covering best practices, prompting, workflows, skills, AGENTS.md usage, and coding agents.

* <Icon icon="code" size={20} /> **[Claude Code tutorials](https://docs.anthropic.com/en/docs/claude-code/tutorials)**

  Anthropic’s practical guides for using Claude as a coding partner, including debugging, refactoring, and codebase analysis.

## Community long-form guide

* <Icon icon="messages-square" size={20} /> **[The Ultimate Vibe Coding Guide (Reddit)](https://www.reddit.com/r/ClaudeAI/comments/1kivv0w/the_ultimate_vibe_coding_guide/)**

  A large community-written guide describing real-world workflows for using AI IDEs effectively on larger codebases.

## Courses and training

* <Icon icon="graduation-cap" size={20} /> **[Generative AI for Software Development](https://www.deeplearning.ai/courses/generative-ai-for-software-development/)**

  DeepLearning.AI course on using LLMs as pair programmers, testers, and design assistants while maintaining engineering discipline.

## Principles and standards

* <Icon icon="shield-check" size={20} /> **[Agentic Coding Principles & Practices](https://agentic-coding.github.io/)**

  A framework defining six principles and 28 practices for building reliable systems with coding agents.

* <Icon icon="file-code" size={20} /> **[AGENTS.md](https://agents.md/)**

  An open convention for a machine-readable project guide: context, commands, and rules for coding agents.

## Tools

Opinionated **workflows and skill libraries** you can install or fork—useful when you want a structured “team in a box” on top of your editor or agent.

* <Icon icon="layers" size={20} /> **[gstack](https://github.com/garrytan/gstack)**

  Garry Tan’s open-source Claude Code workflow: slash-command roles, browser automation, and a long-lived stack for high-throughput AI-assisted shipping.

* <Icon icon="zap" size={20} /> **[Superpowers](https://github.com/obra/superpowers)**

  An agentic skills framework and software development methodology—skills, patterns, and practices you can wire into compatible agents and IDEs.

<Tip>
  Treat these as **starting points**: align any workflow with your repo’s `AGENTS.md`, review rules, and release process before adopting wholesale.
</Tip>