Resources & Tools
This section contains practical guides and tools to help you implement the concepts and technologies discussed in our June 2025 sessions.
🛠️ Implementation Guides
Google Slides Conversion Guide
Step-by-step instructions for converting presentation materials to Google Slides format.
- Quick import methods for PowerPoint files
- Branding and customization tips
- File format optimization
- Troubleshooting common issues
🎯 Coming Soon
We're continuously adding new resources based on community needs and session content. Future additions may include:
- MCP Integration Templates - Ready-to-use MCP server configurations
- AI IDE Setup Guides - Configuration guides for Cursor, Cline, and Windsurf
- LangGraph Workflow Examples - Common patterns and implementations
- Observability Setup - LangSmith and LangFuse configuration guides
- Security Checklists - FedRAMP and SOC 2 compliance guidelines
🔗 External Resources
Community Links
- Austin LangChain Discord - Join our community discussions
- Colin McNamara's Blog - Latest insights and tutorials
- LinkedIn Community - Professional networking and updates
Technical Documentation
- LangChain Documentation - Official framework docs
- MCP Protocol Specification - Universal integration standard
- LangSmith Platform - LLM observability and monitoring
📝 Contributing Resources
Have a useful guide, template, or tool that would benefit the community? We welcome contributions!
How to contribute:
- Create your resource following our documentation standards
- Submit via GitHub or share in our Discord community
- Include clear usage instructions and examples
- Ensure content aligns with our community values
🔗 Related Content
- AI Ecosystem 2025 - Comprehensive technology analysis
- June Sessions - Community presentations and discussions
- June Overview - Complete June 2025 documentation
These resources are designed to bridge the gap between learning and implementation, helping you apply AI ecosystem insights in real-world projects.