Please write clear commit messages that briefly describe the changes. For example:

Add Cell framework example using C++23 modules

Commit messages like "Applying previous commit" should be avoided.

Please write clear commit messages that briefly describe the changes. For example:

Add Cell framework example using C++23 modules

• New Features: 100% test coverage required
• Bug Fixes: Include regression tests
• Performance Changes: Include benchmark tests
• API Changes: Include integration tests

// Test file structure
const std = @import("std");

test "feature: basic functionality" {
    const allocator = std.testing.allocator;
    
    // Test setup
    var instance = try createInstance(allocator);
    defer instance.deinit();
    
    // Test execution
    const result = try instance.performOperation("test");
    
    // Assertions
    try std.testing.expectEqualStrings("expected", result);
}

test "feature: error handling" {
    const allocator = std.testing.allocator;
    
    // Test error conditions
    const result = createInstance(allocator);
    try std.testing.expectError(error.InvalidInput, result);
}

test "feature: memory safety" {
    const allocator = std.testing.allocator;
    
    // Test memory management
    var instance = try createInstance(allocator);
    defer instance.deinit();
    
    // Verify no memory leaks
    const stats = allocator.getStats();
    try std.testing.expectEqual(@as(usize, 0), stats.active_allocations);
}

test "performance: within baseline" {
    const allocator = std.testing.allocator;
    
    // Measure performance
    const start_time = std.time.nanoTimestamp();
    try performOperation(allocator);
    const end_time = std.time.nanoTimestamp();
    
    const duration = @as(u64, @intCast(end_time - start_time));
    
    // Assert performance within acceptable range
    try std.testing.expectLessThan(duration, MAX_ALLOWED_TIME);
}

• Public APIs: All public functions must be documented
• Examples: Include usage examples for complex APIs
• README Updates: Update README for significant features
• API Reference: Keep API documentation current

/// # Neural Network Layer
/// 
/// Represents a single layer in a neural network with configurable
/// activation functions and weight initialization.
/// 
/// ## Features
/// - Configurable input/output dimensions
/// - Multiple activation functions (ReLU, Sigmoid, Tanh)
/// - Automatic weight initialization
/// - Memory-efficient operations
/// 
/// ## Example
/// ```zig
/// var layer = try Layer.init(allocator, .{
///     .input_size = 784,
///     .output_size = 128,
///     .activation = .ReLU,
/// });
/// defer layer.deinit();
/// 
/// const output = try layer.forward(&input, allocator);
/// ```
pub const Layer = struct {
    // Implementation...
};

When adding significant features, update the README:

• Features section: Add new capabilities
• Examples section: Include usage examples
• Performance section: Update benchmarks if applicable
• Installation: Update if new dependencies are added

## Description
Brief description of changes made

## Type of Change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] Documentation update

## Testing
- [ ] All tests pass
- [ ] New tests added for new functionality
- [ ] Performance tests included if applicable
- [ ] Memory safety verified

## Checklist
- [ ] Code follows project style guidelines
- [ ] Self-review of code completed
- [ ] Code is commented, particularly in hard-to-understand areas
- [ ] Documentation updated
- [ ] No breaking changes (or breaking changes documented)

## Related Issues
Closes #123

1. Automated Checks: CI must pass all tests
2. Code Review: At least one maintainer must approve
3. Testing: All tests must pass on all platforms
4. Documentation: Documentation must be updated
5. Performance: No performance regressions allowed

• Tests Pass: All automated tests must pass
• Code Review: At least one approval from maintainers
• Documentation: Documentation must be complete
• Performance: Performance must be maintained or improved
• Memory Safety: No memory leaks or safety issues

• SIMD Operations: Optimize vector operations for different architectures
• Memory Management: Improve allocation strategies and reduce fragmentation
• Algorithm Optimization: Optimize core algorithms for better performance
• GPU Acceleration: Enhance GPU backend implementations

• Neural Networks: Add new layer types and activation functions
• Training Algorithms: Implement advanced training methods
• Model Formats: Add support for more model formats
• Embedding Models: Implement state-of-the-art embedding techniques

• Indexing: Implement advanced indexing algorithms (HNSW, IVF)
• Compression: Add vector compression techniques
• Distributed: Add distributed database capabilities
• Query Optimization: Optimize search and query performance

• Plugin Interfaces: Enhance plugin system capabilities
• Plugin Examples: Create more example plugins
• Plugin Testing: Improve plugin testing infrastructure
• Plugin Documentation: Enhance plugin development guides

• Protocol Support: Add more network protocols
• Load Balancing: Implement load balancing capabilities
• Security: Add authentication and authorization
• Monitoring: Enhance network monitoring and metrics

• Documentation: Fix typos, improve examples, add missing docs
• Tests: Add missing tests, improve test coverage
• Examples: Create new examples, improve existing ones
• CI/CD: Improve build scripts, add new platforms
• Benchmarks: Add new benchmarks, improve existing ones

• GitHub Issues: Bug reports and feature requests
• GitHub Discussions: General questions and discussions
• Discord Server: Real-time chat and collaboration
• Email: [email protected]

• Be Helpful: Help others learn and grow
• Share Knowledge: Share your expertise and experiences
• Be Patient: Everyone learns at their own pace
• Celebrate Success: Acknowledge and celebrate contributions

• Contributors: All contributors are listed in CONTRIBUTORS.md
• Hall of Fame: Special recognition for significant contributions
• Badges: Earn badges for different types of contributions
• Mentorship: Opportunity to mentor new contributors

• Documentation: Check the docs first
• Issues: Search existing issues for solutions
• Discussions: Ask questions in GitHub Discussions
• Discord: Get real-time help in our Discord server

When reporting issues, please include:

• Environment: OS, Zig version, hardware details
• Steps to Reproduce: Clear, step-by-step instructions
• Expected vs Actual: What you expected vs what happened
• Logs: Relevant error messages and logs
• Minimal Example: Minimal code to reproduce the issue

For feature requests:

• Use Case: Describe the problem you're trying to solve
• Proposed Solution: Suggest how it could be implemented
• Alternatives: Consider if existing features could solve your need
• Priority: Indicate how important this is to you

• Fork and clone the repository
• Set up development environment
• Build and test the project
• Read the contributing guidelines
• Pick an issue to work on
• Create a feature branch
• Make your changes
• Write tests for your changes
• Update documentation
• Run all tests
• Commit your changes
• Create a pull request
• Participate in code review
• Celebrate your contribution! 🎊

🚀 Ready to contribute? Pick an issue and start coding!

🤝 Together, we're building the future of high-performance AI development.

💡 Questions? Join our Discord or open a GitHub Discussion.

Thank you for contributing to Abi AI Framework!