dc10361133
fix(security,perf): Sprint 1 performance and security fixes from QE audit
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Performance fixes:
- HNSW Array.splice → BinaryHeap for O(log n) insertion (25x speedup)
- vectorSearch N+1 → batch SQL query with IN clause
- loadPatterns N+1 → batched concurrent Promise.all (50/batch)
- Math.min(...spread) → iterative loop to prevent stack overflow at >10K vertices
- Move @faker-js/faker to devDependencies (-5.2MB production)
Security fixes:
- SQL table name allowlist for defense-in-depth (SQLite can't parameterize identifiers)
- Object.assign() → safeAssignPooled() to prevent prototype pollution (3 locations)
- OAuth timingSafeCompare pads strings instead of early-return on length mismatch
- OAuth no longer stores raw tokens (hash-only storage)
- OAuth revokedTokens Set→Map with timestamps for 24hr expiry cleanup
- Remove hardcoded GCP credentials from sync/interfaces.ts defaults
- Add .env.example GCP section with placeholder comments
Testing:
- Add 167 tests for 5 MCP security boundary validators (command, path-traversal, input-sanitizer, crypto, regex-safety)
- Include QE swarm analysis reports for v3.6.3
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-11 19:52:45 +00:00
0a7a1c8b09
feat(release): v2.6.2 - Phase 2 LLM Independence & Cost Optimization
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## Added
- ML-Based Complexity Classification with 4-level task analysis
- Model Capability Registry with 25+ December 2025 models
- Claude Opus 4.5, DeepSeek R1/V3, GPT-5, Gemini 2.5 Pro
- Cost Optimization Strategies (PromptCompressor, Caching, Batching)
- HybridRouter integration with complexity-based model selection
## Changed
- README.md Quick Start section (user-focused, no version numbers)
- .env.example rewritten for Phase 2 features
- CONTRIBUTORS.md updated with @fndlalit's n8n contribution (#151 )
## Fixed
- HybridRouter RuVector test isolation
- Compression benchmarks with honest expectations (2-8% vs false 50%)
## New Tests
- ComplexityClassifier, ModelCapabilityRegistry, CompressionBenchmark
- HybridRouter integration, model selection, and cost tracking tests
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com >
2025-12-24 15:24:41 +00:00
5a2883a4a0
chore: Initial release v1.0.0
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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 >
2025-09-30 19:59:56 +00:00
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