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Curated external resources for AI-assisted development. Each title links to the source in a new tab.
This page intentionally omits informal “research dumps” and generic anti-patterns lists—favor the linked handbooks and standards below for actionable guidance.

Core handbooks

  • Beyond Vibe Coding A practical long-form guide to AI-assisted development as a spectrum, from fast prototyping to production-ready engineering.
  • AI Code Guide A free GitHub handbook that consolidates AI coding workflows, prompting practices, planning, testing, and safety guidelines.
  • Agentic Coding A reference-manual style course for engineers covering agentic workflows, planning, testing, debugging, and code review with AI.

Official documentation stacks

  • OpenAI developer docs OpenAI’s documentation ecosystem covering best practices, prompting, workflows, skills, AGENTS.md usage, and coding agents.
  • Claude Code tutorials Anthropic’s practical guides for using Claude as a coding partner, including debugging, refactoring, and codebase analysis.

Community long-form guide

Courses and training

Principles and standards

  • Agentic Coding Principles & Practices A framework defining six principles and 28 practices for building reliable systems with coding agents.
  • 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.
  • 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.
  • Superpowers An agentic skills framework and software development methodology—skills, patterns, and practices you can wire into compatible agents and IDEs.
Treat these as starting points: align any workflow with your repo’s AGENTS.md, review rules, and release process before adopting wholesale.