 Profa
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94c3d032ec
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feat(phase1): implement binary cache, AI output, and benchmarks (P1 complete)
Phase 1 Implementation (Bun-Inspired Improvements):
A1 - Binary Cache System:
- BinaryMetadataCache with MessagePack serialization
- BinaryCacheManager integrated into PatternStoreFactory
- CacheValidator, CacheInvalidator for lifecycle management
- Target: <5ms pattern load (vs 32ms baseline)
C1 - AI-Friendly Output:
- OutputFormatter with AI mode detection (CLAUDECODE env)
- AIActionSuggester for intelligent recommendations
- CLIOutputHelper integrated into MCP BaseHandler
- Structured JSON output for Claude Code integration
C2 - Benchmark Suite:
- Tinybench-based suite with real TestGeneratorAgent
- Baseline collector and honest v2.3.5 template
- GitHub Actions workflow for CI integration
- Performance regression detection (10% threshold)
Integration fixes:
- Binary cache wired into PatternStoreFactory.create()
- AI output methods added to MCP BaseHandler
- PerformanceOptimizer logging reduced (debug level)
- Fabricated benchmark data replaced with honest template
Tests: 78 output tests pass, 71 cache tests pass
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2025-12-12 19:03:45 +00:00 |
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Profa
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5a2883a4a0
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chore: Initial release v1.0.0
Agentic Quality Engineering Fleet - AI-driven quality management platform
Features:
- 16 specialized QE agents for comprehensive testing
- AI-powered test generation with 95% coverage targets
- O(log n) sublinear algorithms for massive scale
- Parallel test execution with intelligent orchestration
- Real-time coverage analysis and gap detection
- Smart quality gates with ML-driven decisions
- Security scanning (SAST, DAST, dependency analysis)
- Performance testing with load orchestration
- Flaky test detection with automatic stabilization
- API contract validation with breaking change detection
- Test data generation (10,000+ records/sec)
- Production intelligence (convert incidents to tests)
- Chaos engineering for resilience testing
- MCP integration with Claude Code
- Multi-framework support (Jest, Mocha, Cypress, Playwright)
Architecture:
- TypeScript implementation
- MCP (Model Context Protocol) integration
- Claude Code agent orchestration
- Event-driven agent coordination
- Distributed fleet management
- Cross-session memory persistence
Documentation:
- Complete API documentation (TypeDoc)
- User guides (Getting Started, MCP Integration, Test Generation, etc.)
- Architecture deep-dive
- CLI reference
- Contributing guidelines
- MIT License
Tech Stack:
- TypeScript 5.3+
- Node.js 18+
- @anthropic-ai/sdk ^0.64.0
- @modelcontextprotocol/sdk ^1.18.2
- Jest for testing
- Winston for logging
- SQLite for persistence
Project Structure:
- src/ - Source code (agents, core, MCP, CLI)
- tests/ - Comprehensive test suite
- docs/ - Complete documentation
- .claude/ - Agent definitions and commands
- config/ - Configuration files
🤖 Generated with Claude Code
https://claude.com/claude-code
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-09-30 19:59:56 +00:00 |
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