Welcome to the Pragmatic AI community! We're bringing software development best practices to AI development.
To build a community of practitioners who believe AI should be:
- Practical - solving real problems, not just chasing the latest trends
- Secure - built with security as a foundational principle
- Human-centered - designed for augmentation and collaboration rather than replacement
- Ethical - considering broader impacts from the start
- Explainable - prioritizing transparency and understandability
- Core Principles: Our foundational philosophy for building AI systems
- Tools & Libraries: Open-source implementations that embody Pragmatic AI principles
- Guides & Best Practices: Practical advice for implementing AI systems that work in the real world
- Discussions: A place to exchange ideas, challenges, and solutions
We welcome contributions of all kinds! Here are some ways to get involved:
- Participate in Discussions
- Share your experiences with pragmatic approaches to AI
- Ask questions and help others solve problems
- Check out our contribution guidelines
- Look for issues labeled
good-first-issueto get started - Submit PRs that align with our core principles
- Write tutorials or blog posts about Pragmatic AI approaches
- Create examples demonstrating our principles in action
- Suggest improvements to documentation
- Star repositories you find useful
- Share our work with your network
- Present Pragmatic AI concepts at meetups and conferences
- Focus on practical solutions over theoretical discussions
- Be respectful and inclusive of all community members
- Share knowledge generously and acknowledge others' contributions
- Prioritize security and ethical considerations in all discussions
- Provide constructive feedback that helps improve ideas and implementations
Unless otherwise specified, projects in this organization are licensed under MIT License.
Pragmatic AI was inspired by the Pragmatic Programming movement. We believe the same principles that revolutionized software development can help bring AI from hype to practical, valuable implementation.
Join us in building AI systems that actually work!