AaryanSinghChauhan09 · AaryanSinghChauhan09 · Aug 11, 2026 · Aug 10, 2026
@@ -62,176 +62,4 @@ Traditional monolithic kernels and release distributions introduce architectural
 
 - [ ] **Phase 1 (Validation)**: Complete core traits and verification tests for standards, packages, and observability.
 - [ ] **Phase 2 (Parity)**: Implement real-time scheduling preemption gates and FHS directory mounts.
-- [ ] **Phase 3 (Leapfrog)**: Launch sandboxed user-defined dynamic tracing engines and fully automated, AI-driven performance optimization loops.
-||||||| 43be3a7e8
-# 🚀 SigmaOS: 3-Year Strategic Vision (2026 - 2028)
-
-## 🎯 Vision Statement
-> **"The AI-native operating system that runs every Linux application, manages every development environment automatically, delivers macOS-like polish, Windows-level compatibility, and Linux-level openness."**
-
----
-
-## 📊 Strategic Positioning
-
-### Not "Another Linux Distro"
-SigmaOS will not compete directly with Ubuntu, Fedora, Arch, or other established distributions. Instead, SigmaOS will position itself as a professional operating system that builds on the Linux ecosystem while providing a unique, cohesive experience.
-
-### Key Target Differentiators:
-1. **AI-Native Architecture**: Deep integration of local, privacy-first AI model serving at the scheduling level, not as an add-on.
-2. **Unified User Experience**: Cohesive design language, unified notification, setting, and permission systems.
-3. **Professional-Grade Applications**: Out-of-the-box photo and video editing suites designed on OOP and capability principles.
-4. **Cloud-Native Integration**: Encrypted settings synchronization, remote clipboard, and secure backups.
-5. **Simplified Package Management**: Atomically updated, content-addressed `.spkg` formats.
-6. **Role-Based Profiles (Sigma Studio)**: One-click profile switches (Developer, Designer, Data Scientist) adjusting system optimization.
-
----
-
-## 📅 3-Year Roadmap & Key Milestones
-
-### 🔴 Year 1: Foundation (2026)
-* **Q1-Q2: Core Infrastructure**
-  - Complete Phase G microkernel blockers.
-  - Implement basic local AI model routing.
-  - Develop content-addressed Sigma Package Manager.
-  - Establish unified design language.
-* **Q3-Q4: Developer Experience**
-  - Configure zero-setup environments (Rust, Go, Go, Node.js).
-  - Integrate Docker & Kubernetes container layers.
-  - Launch developer preview.
-* **Success Metrics**:
-  - Boot time: < 5 seconds
-  - Developer environment setup time: < 15 minutes
-  - AI task accuracy: > 80%
-
-### 🟡 Year 2: Expansion (2027)
-* **Q1-Q2: AI Integration**
-  - Advanced natural language system automation.
-  - AI-powered self-healing and troubleshooting.
-  - Caching and local tensor hardware acceleration.
-* **Q3-Q4: Ecosystem**
-  - Launch Sigma Studio profiles.
-  - Launch curated Sigma Store software center.
-  - Secure boot with TPM 2.0 and full-disk encryption (LUKS).
-* **Success Metrics**:
-  - AI task accuracy: > 90%
-  - Linux application compatibility ratio: > 90%
-  - Cloud sync adoption rate: > 60%
-
-### 🔵 Year 3: Maturity (2028)
-* **Q1-Q2: Enterprise & Security**
-  - Enforce Active Directory, LDAP, and SSO.
-  - Compliance audits (CIS Level 2 benchmarks).
-  - Launch Sigma Enterprise.
-* **Q3-Q4: Polish & Expansion**
-  - Contribute patches upstream to Linux kernel, Mesa, and PipeWire.
-  - Expand Sigma Studio profiles to 6 categories.
-* **Success Metrics**:
-  - Active users: > 100,000
-  - Enterprise customers: > 1,000
-  - Community contributors: > 500
-
----
-
-## 💰 Resource Allocation & Budget
-
-* **Core Team Structure (25 Engineers)**:
-  - Kernel development (5)
-  - System integration (5)
-  - AI/ML development (5)
-  - Application development (5)
-  - QA and testing (5)
-
-* **36-Month Budget Estimation**:
-  - **Year 1**: $2,250,000 (Phase G completion + basic AI + Dev tools)
-  - **Year 2**: $2,700,000 (AI expansion + Cloud sync + Gaming)
-  - **Year 3**: $2,700,000 (Enterprise + Performance + Community)
-  - **Total**: $7,650,000
-
----
-
-## 💻 3. Executable Reference Implementation
-
-The following standard-conforming Rust implementation provides the complete, valid, and fully-compiling source code for an OKR/Milestone Evaluation and KPI tracking engine. It compiles under a standard Rust environment and is integrated into our unified test suite.
-
-```rust
-// Fictionalized #![no_std] compliant implementation illustrating complete Strategic OKR Engine
-
-/// Strategic evaluation error states
-#[derive(Debug, Clone, Copy, PartialEq, Eq)]
-pub enum OkrError {
-    Success = 0,
-    MilestoneNotFound = 1,
-    DuplicateMilestone = 2,
-    MetricOutOfRange = 3,
-}
-
-/// Strategic milestone categories
-#[derive(Debug, Clone, Copy, PartialEq, Eq)]
-pub enum MilestoneCategory {
-    CoreKernel,
-    AiOrchestration,
-    DeveloperExperience,
-    SecurityEnterprise,
-}
-
-/// Roadmap milestone
-pub struct StrategicMilestone {
-    pub id: u32,
-    pub title: String,
-    pub category: MilestoneCategory,
-    pub completion_percentage: f64, // 0.0 to 100.0
-}
-
-/// Base OOP interface representing any strategic tracker
-pub trait OkrTracker {
-    fn name(&self) -> &str;
-    fn evaluate_progress(&self) -> f64;
-}
-
-// ==========================================
-// 1. Concrete OKR Evaluator Implementation
-// ==========================================
-
-pub struct StrategicOkrEvaluator {
-    pub milestones: Vec<StrategicMilestone>,
-}
-
-impl StrategicOkrEvaluator {
-    pub fn new() -> Self {
-        let mut evaluator = StrategicOkrEvaluator { milestones: Vec::new() };
-        evaluator.register_milestone(1, "Phase G Kernel".to_string(), MilestoneCategory::CoreKernel, 100.0);
-        evaluator.register_milestone(2, "Local AI Serving".to_string(), MilestoneCategory::AiOrchestration, 100.0);
-        evaluator.register_milestone(3, "Dev Studio".to_string(), MilestoneCategory::DeveloperExperience, 100.0);
-        evaluator
-    }
-
-    pub fn register_milestone(&mut self, id: u32, title: String, category: MilestoneCategory, progress: f64) {
-        let milestone = StrategicMilestone {
-            id,
-            title,
-            category,
-            completion_percentage: progress.clamp(0.0, 100.0),
-        };
-        self.milestones.push(milestone);
-    }
-
-    pub fn compute_roadmap_completion(&self) -> f64 {
-        if self.milestones.is_empty() {
-            return 100.0;
-        }
-        let sum: f64 = self.milestones.iter().map(|m| m.completion_percentage).sum();
-        sum / self.milestones.len() as f64
-    }
-}
-```
-
----
-
-## 🔬 4. Validation and Verification Strategy
-
-To guarantee absolute synchronicity and correctness of the strategic roadmap:
-1. **Compilation Audit**: Every code snippet within this strategic vision document is formatted using `cargo fmt` standards and is syntactically validated in our unified test suites.
-2. **Deterministic Evaluation**: OKR and milestone metrics are verified on APIC ticks under O(1) constant limits, preventing scheduler load.
-3. **Capability Sandboxing**: Strategic preference metrics and execution registers are strictly capability-gated, completely eliminating side-channel leakage risks.
-
-By implementing this comprehensive blueprint, **SigmaOS** delivers a pristine, ultra-lightweight, and fully optimized strategic roadmap pipeline that completely surpasses legacy Operating Systems.
+- [ ] **Phase 3 (Leapfrog)**: Launch sandboxed user-defined dynamic tracing engines and fully automated, AI-driven performance optimization loops.
@@ -68,7 +68,4 @@ path = "tools/build/sigma_make.rs"
 
 [[bin]]
 name = "sigmaos_setup_wizard"
-path = "tools/build/SigmaOSSetupWizard.rs"
-||||||| 43be3a7e8
-test = false
-required-features = ["microkernel"]
+path = "tools/build/SigmaOSSetupWizard.rs"