feat: release v3.0.0 with AI-to-AI conversation threading and MCP bypass
Major release introducing true AI collaboration capabilities: • AI-to-AI conversation threading with Redis persistence • Asynchronous workflow support - Claude can work between exchanges • Incremental updates automatically bypass MCP's 25K token limit • Cross-questioning and coordinated problem-solving between AIs • Enhanced documentation with SwiftUI vs UIKit debate example • Comprehensive test coverage and linting compliance • Docker-first architecture with simplified setup 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
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README.md
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**How it works:**
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**How it works:**
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- **Gemini can ask Claude follow-up questions** to clarify requirements or gather more context
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- **Gemini can ask Claude follow-up questions** to clarify requirements or gather more context
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- **Claude can respond** with additional information, files, or refined instructions
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- **Claude can respond** with additional information, files, or refined instructions
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- **Claude can work independently** between exchanges - implementing solutions, gathering data, or performing analysis
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- **Claude can return to Gemini** with progress updates and new context for further collaboration
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- **Both AIs coordinate their approaches** - questioning assumptions, validating solutions, and building on each other's insights
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- **Both AIs coordinate their approaches** - questioning assumptions, validating solutions, and building on each other's insights
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- Each conversation maintains full context across multiple exchanges
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- Each conversation maintains full context while only sending incremental updates
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- Conversations are automatically managed with Redis for persistence
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- Conversations are automatically managed with Redis for persistence
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**Example of AI-to-AI coordination:**
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**Example of AI-to-AI coordination:**
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4. Claude: "While UIKit has maturity advantages, SwiftUI's rapid evolution, simplified development workflow, and Apple's investment make it the strategic choice. The learning curve pays off with faster development and maintainable code."
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4. Claude: "While UIKit has maturity advantages, SwiftUI's rapid evolution, simplified development workflow, and Apple's investment make it the strategic choice. The learning curve pays off with faster development and maintainable code."
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5. **Final recommendation**: After this AI debate, Claude concludes: "Based on our discussion, SwiftUI is recommended for new projects despite Gemini's valid UIKit points."
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5. **Final recommendation**: After this AI debate, Claude concludes: "Based on our discussion, SwiftUI is recommended for new projects despite Gemini's valid UIKit points."
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**Asynchronous workflow example:**
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- Claude can work independently between exchanges (analyzing code, implementing fixes, gathering data)
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- Return to Gemini with progress updates and additional context
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- Each exchange shares only incremental information while maintaining full conversation history
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- Automatically bypasses MCP's 25K token limits through incremental updates
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**Enhanced collaboration features:**
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**Enhanced collaboration features:**
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- **Cross-questioning**: AIs can challenge each other's assumptions and approaches
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- **Cross-questioning**: AIs can challenge each other's assumptions and approaches
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- **Coordinated problem-solving**: Each AI contributes their strengths to complex problems
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- **Coordinated problem-solving**: Each AI contributes their strengths to complex problems
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- **Context building**: Claude gathers information while Gemini provides deep analysis
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- **Context building**: Claude gathers information while Gemini provides deep analysis
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- **Approach validation**: AIs can verify and improve each other's solutions
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- **Approach validation**: AIs can verify and improve each other's solutions
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- **Asynchronous workflow**: Conversations don't need to be sequential - Claude can work on tasks between exchanges, then return to Gemini with additional context and progress updates
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- **Incremental updates**: Share only new information in each exchange while maintaining full conversation history
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- **Automatic 25K limit bypass**: Each exchange sends only incremental context, allowing unlimited total conversation size
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- Up to 5 exchanges per conversation with 1-hour expiry
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- Up to 5 exchanges per conversation with 1-hour expiry
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- Thread-safe with Redis persistence across all tools
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- Thread-safe with Redis persistence across all tools
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