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Aligna AI: A framework specifically designed for AI agent reviewers to provide structured and consistent feedback on code, documentation, and research. Includes guidelines, checklists, and metrics to improve automated review quality and effectiveness.

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📚 Aligna AI — Review Guidelines for AI Agents

Aligna is a framework specifically designed for AI agent reviewers to provide structured, consistent, and actionable and constructive feedback on code, documentation, and research content. It offers guidelines, checklists, and metrics to improve the quality of automated reviews while maintaining a focus on actionable feedback and effective communication.


📌 Why This Project?

  • You invest your time and energy into writing code, papers, or projects — getting clear, helpful reviews afterward is harder than it sounds.
  • Expectations aren't always obvious.
  • Important feedback can be missed without a simple review guide.

❓ Curious?

  • Use our Review Guidelines.
  • Apply the practical Review Checklist immediately.
  • Measure improvements with our Metrics Guide.
  • Implement these practices via our Usage Guide.
  • Use the practical examples to guide your team.
  • Measure improvements using the provided metrics.
  • Implement via the Aligna framework.

🎯 Our Goal

  • Help reviewers and contributors align faster.
  • Encourage high-quality, clear, productive collaboration.
  • Support better outcomes with less stress and wasted time.

⏳ Wait — Aren't There Already Solutions?

  • If you know a great tool, checklist, or project that solves this, we would love to hear about it!
  • Drop your suggestions or links here.
  • Even just a quick link is appreciated!

🔄 How Aligna Differs From Existing Solutions

We address gaps such as:

  • Unlike GitHub's CODEOWNERS: Focuses on review quality, not just assignment (Learn more about CODEOWNERS)
  • Beyond Conventional PR Templates: Addresses reviewer mindset, not just submission structure (Explore PR templates)
  • Compared to tools like Reviewable/Gerrit: Emphasizes human communication over technical mechanics (Reviewable | Gerrit)
  • Versus linting tools (ESLint, etc.): Addresses holistic review culture, not just automated checks (ESLint)

Current gaps we’re addressing:

  • Psychological safety in feedback delivery
  • Practical minimalism (avoiding over-engineered processes)
  • Cross-domain application (works for code, docs, and research papers)

📋 Project Guidelines

This repository contains a set of highly opinionated JavaScript project guidelines covering:

  • Repository organization
  • Code structure
  • Configuration management
  • Security practices
  • Testing approaches
  • Documentation standards

These guidelines are provided for informational purposes only and can be found in our JavaScript Project Guidelines document.

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Aligna AI: A framework specifically designed for AI agent reviewers to provide structured and consistent feedback on code, documentation, and research. Includes guidelines, checklists, and metrics to improve automated review quality and effectiveness.

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