feat(v1.6.0): Enhanced Features Edition - AI/ML, Networking, Security, Developer Tools#105
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feat(v1.6.0): Enhanced Features Edition - AI/ML, Networking, Security, Developer Tools#105superninja-app[bot] wants to merge 2 commits into0.4.1from
superninja-app[bot] wants to merge 2 commits into0.4.1from
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…, Developer Tools ## New Modules (17 new files across 4 module groups) ### AI/ML Enhanced (ai_enhanced/) - inference_engine.rs: High-performance ML model inference - federated_learning.rs: Privacy-preserving distributed training - model_optimizer.rs: Neural network optimization (quantization, pruning) - anomaly_detection.rs: Real-time system anomaly detection - resource_predictor.rs: Predictive resource management ### Enhanced Networking (networking_enhanced/) - sdn_controller.rs: Software-Defined Networking controller - traffic_shaper.rs: Token bucket-based traffic shaping - zero_trust_network.rs: Zero-trust security model ### Enhanced Security (security_enhanced/) - runtime_integrity.rs: Continuous runtime integrity monitoring - secure_enclave.rs: Hardware-backed secure enclave ### Developer Tools (developer_tools/) - profiler.rs: Comprehensive system profiler - debugger.rs: Kernel-level debugger - build_system.rs: Integrated build system ## Bug Fixes - Fixed rand 0.10 API compatibility (RngCore, thread_rng) - Fixed unstable is_multiple_of() in allocator - Fixed borrow checker issues in new modules - Fixed closure type inference in SDN controller ## Version bump: 1.2.0 -> 1.6.0 All modules compile cleanly with cargo check on stable Rust 1.85.0
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Test Suite SummaryJob Results
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Phase 2 - Documentation: - Update ROADMAP.md with v1.6.0 milestone completion - Update README.md with v1.6.0 Enhanced Features - Create comprehensive V1_6_0_ENHANCED_FEATURES_GUIDE.md Phase 3 - Integration Tests (tests_v1_6_0_integration.rs): - 50+ unit tests across all v1.6.0 modules - AI module tests: anomaly detection, inference engine, federated learning, model optimizer, resource predictor - Networking tests: SDN controller, traffic shaper, zero trust network - Security tests: integrity monitor, secure enclave lifecycle & crypto - Developer tools tests: profiler, debugger, build system - Cross-module integration tests: anomaly->prediction pipeline, traffic shaping with profiling, integrity-protected enclaves, full system scenario Phase 3 - Benchmarks (benches_v1_6_0.rs): - Inference engine: model load throughput, tensor ops, session latency - Traffic shaper: packet throughput, burst handling, multi-class - Anomaly detection: observation throughput (zscore & EWMA) - SDN controller: topology scaling, flow installation throughput - Zero trust: evaluation throughput with 100 identities - Secure enclave: crypto operations, key generation - Integrity monitor: scaling to 200 resources, full check - Model optimizer: large model optimization - Federated learning: multi-round training - Resource predictor: continuous observation & prediction - Profiler: span overhead measurement - Build system: dependency resolution, full build
Test Suite SummaryJob Results
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VantisOS v1.6.0 - Enhanced Features Edition
Overview
This PR introduces four major new module groups bringing AI/ML capabilities, advanced networking, enhanced security, and comprehensive developer tools to VantisOS.
New Modules (17 new files across 4 module groups)
🤖 AI/ML Enhanced (
ai_enhanced/)inference_engine.rsfederated_learning.rsmodel_optimizer.rsanomaly_detection.rsresource_predictor.rs🌐 Enhanced Networking (
networking_enhanced/)sdn_controller.rstraffic_shaper.rszero_trust_network.rs🔒 Enhanced Security (
security_enhanced/)runtime_integrity.rssecure_enclave.rs🛠️ Developer Tools (
developer_tools/)profiler.rsdebugger.rsbuild_system.rsBug Fixes
rand0.10 API compatibility (RngCoreimports,thread_rng()→rng())is_multiple_of()in allocator (replaced with stable modulo)Build Status
✅
cargo checkpasses cleanly on stable Rust 1.85.0 (warnings only, zero errors)Stats