Why Transparency Matters in AI
As artificial intelligence becomes more embedded in developer tooling, open-source frameworks must lead with transparency, ethics, and trust. That’s why the Iris Web Framework now includes a new file: llms.txt.
This document outlines how Iris uses—or plans to use—large language models (LLMs) to enhance developer experience, documentation, and support.
What’s Inside llms.txt
The file includes:
- ✅ Planned LLM integrations for documentation, code generation, and developer support
- ✅ Compliance with the EU AI Act and global standards like ISO/IEC 42001
- ✅ Ethical safeguards including bias mitigation and human oversight
- ✅ Open-source governance with community involvement and transparency
Use Cases We’re Exploring
While Iris doesn’t currently host or train LLMs directly, we’re experimenting with:
- AI-powered documentation summaries
- Conversational developer support agents
- Code scaffolding for common web patterns
- Automated test generation and refactoring suggestions
- Natural language search across examples and docs
Built for Developers, With Developers
All AI features are optional, clearly labeled, and designed to assist—not replace—human developers. We’re committed to keeping the Iris experience fast, lightweight, and developer-first.
A Living Document
llms.txt is versioned and will evolve with the framework. You can view it here and contribute via GitHub.
Join the Conversation
We welcome feedback, ideas, and concerns. Let’s build the future of web development—responsibly and collaboratively.
— Gerasimos Maropoulos
Creator of Iris Web Framework
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