Future Development
Upcoming Features
Enhanced Agent Collaboration: Improved inter-agent communication and task sharing
Smart Caching System: Optimized performance for repeated operations
Advanced Error Recovery: Self-healing capabilities for failed operations
Custom Agent Creation: Framework for developing specialized agents
Performance Roadmap
Real-time task processing optimization
Reduced memory footprint
Improved concurrent operation handling
Enhanced resource management
New Agent Types
DataScientist: Specialized in data analysis and visualization
NetworkManager: Advanced network operations and monitoring
SecurityGuard: Dedicated security monitoring and protection
API Enhancements
pythonCopy# Example of upcoming API features
from swiftnet.next import EnhancedTaskMaster
# Advanced task orchestration
task_master = EnhancedTaskMaster(
auto_recovery=True,
performance_optimization=True,
smart_caching=True
)
# Enhanced agent collaboration
result = await task_master.collaborate([
"research_task",
"data_analysis",
"report_generation"
])
Next Steps
Quick Start Guide
Basic Setup
bashCopygit clone https://github.com/Swaraj9/swiftnet2.git cd swiftnet2 python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -e .[dev]
First Project
pythonCopyfrom swiftnet import SwiftNet # Initialize SwiftNet swift = SwiftNet() # Run your first automated task result = swift.run_task("hello_world")
Development Resources
Documentation: docs.swiftnet.ai
API Reference: api.swiftnet.ai
Community Forum: community.swiftnet.ai
GitHub Repository: github.com/Swaraj9/swiftnet2
Contributing Guidelines
Fork the repository
Create a feature branch
Submit a pull request
Follow our code style guide
Include tests for new features
Community Engagement
Join our Discord server
Participate in weekly dev calls
Share your SwiftNet projects
Help improve documentation
Remember: SwiftNet's growth depends on community feedback and contributions. We encourage active participation in shaping its future development!
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