SWE-Bench Integration for Claude Flow

Overview

SWE-bench is a comprehensive benchmark suite designed to evaluate software engineering capabilities of AI systems. This implementation integrates SWE-bench with Claude Flow's swarm benchmark system.

Features

• Comprehensive Task Coverage: Tests across multiple SE domains
• Real-World Scenarios: Based on actual GitHub issues and PRs
• Performance Metrics: Detailed tracking of execution time, accuracy, and resource usage
• Optimization Pipeline: Iterative improvement based on benchmark results
• Multi-Agent Support: Leverages Claude Flow's swarm capabilities

Quick Start

# Run basic SWE-bench suite
python run_swe_bench.py

# Run with specific configuration
python run_swe_bench.py --config configs/swe_bench_config.yaml

# Run optimization pipeline
python optimize_swe_bench.py --iterations 10

# Generate performance report
python generate_swe_report.py --output reports/

Benchmark Categories

1. Code Generation: Implementing functions from specifications
2. Bug Fixing: Identifying and fixing bugs in existing code
3. Refactoring: Improving code structure without changing functionality
4. Testing: Writing comprehensive test suites
5. Documentation: Generating accurate documentation
6. Code Review: Analyzing and reviewing code changes
7. Performance: Optimizing code for better performance

Performance Targets

Architecture

swe-bench/
├── configs/          # Configuration files
├── datasets/         # SWE-bench task datasets
├── evaluators/       # Task evaluation logic
├── executors/        # Task execution engines
├── optimizers/       # Performance optimization
├── reports/          # Generated reports
└── tests/           # Test suites

Integration with Claude Flow

The SWE-bench suite leverages Claude Flow's advanced features:

• Swarm Coordination: Multi-agent task execution
• SPARC Methodology: Systematic problem-solving approach
• Real Metrics: Actual execution tracking
• Neural Optimization: ML-based performance improvements
• Collective Intelligence: Shared learning across agents

Results Tracking

Results are tracked in:

• JSON reports: reports/swe_bench_results_*.json
• SQLite database: swe_bench.db
• GitHub issues: Auto-updated with progress

Contributing

See CONTRIBUTING.md for guidelines on adding new benchmarks or improving existing ones.