AEROSPACEMODEL
European-governed digital continuity infrastructure for deterministic, traceable aerospace lifecycle transformations.
- Overview
- Why AEROSPACEMODEL
- Core Architecture — ASIT + ASIGT
- Architecture at a Glance
- Key Capabilities
- Repository Structure
- Getting Started
- OPT-IN Framework (TLI v2.1)
- Lifecycle Registry (LC01–LC14)
- Governance Stack
- BREX-Driven Instruction System
- CNOT-Gate Lifecycle Automation
- HPC + Quantum + Agentic MDO
- CI/CD & GitHub Actions Workflows
- Pipelines
- Regulatory Applicability Matrix
- Standards Alignment
- Integration with AMPEL360
- Who This Is For
- Documentation Index
- Enabling Concepts — Glossary
- Contributing
- License
AEROSPACEMODEL provides a European-governed digital continuity infrastructure enabling deterministic, traceable lifecycle transformations with explicit human oversight. It is aligned with EASA certification principles, GAIA-X data sovereignty, and the EU AI Act risk-based approach following its implementation milestones.
The framework is centred on Top-Level Instructions (TLI) as the foundation for control, governance, and lifecycle orchestration. TLIs are domain-licensed, context-specific decision boundaries that define authorization scopes and deterministic behaviour envelopes. Inference is applied only at formally defined non-inference boundaries, which trigger mandatory Human-in-the-Loop (HITL) escalation.
Author: Amedeo Pelliccia
Aerospace programs struggle not with lack of data, but with:
| Problem | Impact |
|---|---|
| Loss of traceability between engineering and operations | Certification evidence gaps |
| Manual, error-prone publication generation | Costly rework, delayed deliveries |
| Governance gaps between design, certification, and MRO | Regulatory non-compliance |
| Reinterpretation of intent in downstream documents | Safety-critical information drift |
AEROSPACEMODEL eliminates these breaks by enforcing a single, governed digital thread from SSOT engineering truth to operational information products — with every transformation logged, auditable, and reversible.
The system is composed of two strictly separated but tightly integrated layers:
| Layer | Full Name | Role |
|---|---|---|
| ASIT | Aircraft Systems Information Transponder | Governance, structure, lifecycle authority, baselines, contracts |
| ASIGT | Aircraft Systems Information Generative Transponder | Content generation, operating exclusively under ASIT control |
ASIT defines the information universe. ASIGT generates content inside it.
No content is generated unless the structure, authority, and lifecycle state are defined. ASIGT cannot operate standalone — it executes only within ASIT-approved contracts and baselines.
Validated Engineering Knowledge (SSOT)
│
▼
┌──────────────────────────┐
│ ASIT │
│ Governance · Structure │
│ Lifecycle · Contracts │
│ Authority & Baselines │
└───────────┬──────────────┘
│ invokes
▼
┌──────────────────────────┐
│ ASIGT │
│ Governed Content │
│ Generation Engine │
│ (S1000D / IETP / Ops) │
└───────────┬──────────────┘
│ produces
▼
Operational Digital Information
(AMM, SRM, CMM, IPC, SB, IETP, Ops Data)
- Certification-Grade Provenance — Full traceability from source knowledge to published output
- Standards Compliance — Native alignment with S1000D Issue 5.0, ATA iSpec 2200, and aerospace data exchange standards
- Controlled Generation — AI outputs bounded by validated knowledge domains and explicit transformation contracts
- Audit-Ready Governance — Every AI-assisted transformation is logged, attributable, and reversible
- Dual Database Management — KDB (Knowledge Database) → IDB (Information Database) transformation through lifecycle gates
- CNOT-Gate Determinism — Quantum-circuit-inspired gates ensure no action fires until all control assertions pass
- HPC + Quantum + Multi-Agent MDO — Massive parallel design optimization under BREX governance
- Human-Centric Digital Systems — Charter-based governance for human agency, truth, and ethical AI
AEROSPACEMODEL/
│
├── .github/
│ ├── instructions/ # BREX-driven ATA-specific instruction files
│ └── workflows/ # 11 GitHub Actions CI/CD workflows
│ ├── ci.yml
│ ├── brex-compliance.yml
│ ├── cnot-agent-orchestration.yml
│ ├── constitution-compliance.yml
│ ├── contract-governance.yml
│ ├── marketplace-scan.yml
│ ├── ngi-assessment.yml
│ ├── release.yml
│ ├── s1000d-validation.yml
│ ├── static.yml
│ └── validate_lifecycle_registry.yml
│
├── ASIT/ # Governance, structure, lifecycle authority
│ ├── GOVERNANCE/
│ ├── INDEX/
│ ├── CONTRACTS/
│ └── ASIT_CORE.md
│
├── ASIGT/ # Content generation layer (invoked by ASIT)
│ ├── generators/
│ ├── brex/ # BREX Decision Engine
│ ├── hpc/ # HPC compute architecture
│ ├── agents/ # MDO agent swarm
│ ├── quantum/ # Quantum optimizer
│ └── ASIGT_CORE.md
│
├── Governance/ # Governance charters & policy frameworks
├── OPT-IN_FRAMEWORK/ # ATA iSpec 2200 canonical content structure
├── lifecycle/ # Canonical lifecycle registry (LC01–LC14)
├── src/aerospacemodel/ # Python package (96% of codebase)
├── pipelines/ # ASIT-controlled transformation pipelines
├── schemas/ # S1000D / ATA reference schemas
├── templates/ # Jinja2 S1000D templates
├── scripts/ # Utility scripts
├── tests/ # Test suite
├── assessments/ # Compliance assessments
├── policy/ # Policy YAML files (NGI, HCDS controls)
├── roadmaps/ # Implementation roadmaps
├── docs/ # Extended documentation (27 documents)
├── examples/ # Usage examples
│
├── Model_Digital_Constitution.md # Foundational digital constitution
├── GOVERNANCE.md # Root governance document
├── CONTRIBUTING.md # Contribution guidelines
├── HCDS_CHARTER_README.md # Human-Centric Digital Systems overview
├── IMPLEMENTATION_SUMMARY.md # Implementation status
├── pyproject.toml # Python package configuration
├── LICENSE # CC0 1.0 Universal
└── README.md # ← You are here
- Python ≥ 3.9
# Clone the repository
git clone https://github.com/AmedeoPelliccia/AEROSPACEMODEL.git
cd AEROSPACEMODEL
# Install the package with all optional dependencies
pip install -e ".[all]"
# Verify installation
aerospacemodel --helpfrom aerospacemodel.asigt import BREXGovernedValidator, OperationContext
validator = BREXGovernedValidator(
contract_id="KITDM-CTR-LM-CSDB_ATA28",
baseline_id="FBL-2026-Q1-003"
)
result = validator.validate_operation(
operation="generate_dm",
context=OperationContext(
contract_id="KITDM-CTR-LM-CSDB_ATA28",
ata_domain="ATA 28",
safety_impact=False
)
)
if result.allowed:
print("Operation permitted — proceed with generation")
elif result.escalation_required:
print(f"Escalation required to: {result.escalation_target}")
else:
print(f"Operation blocked by: {result.blocked_by}")The OPT-IN_FRAMEWORK provides the canonical ATA iSpec 2200-aligned content structure for the AMPEL360 Q100 program across the complete aircraft lifecycle (LC01–LC14).
| Domain | Scope | ATA Range | Novel Technology |
|---|---|---|---|
| O — Organizations | Governance, maintenance policies | ATA 00–05 | — |
| P — Programs | Program-level documentation | ATA 06–12 | — |
| T — Technologies | 15 on-board system subdomains | ATA 20–80, 95–97 | C2 (Cryogenic LH₂), P (Fuel Cell), I2 (AI/ML) |
| I — Infrastructures | Ground support, H₂ supply chain | Ground systems | — |
| N — Neural Networks | AI governance, DPP, ledger | AI/ML systems | — |
Novel Technology Subdomains (full LC01–LC14 activation):
- C2 — Circular Cryogenic Cells — LH₂ storage (-253°C), cryogenic handling, boil-off management (Special Conditions: SC-28-H2-001, SC-28-CRYO-002)
- P — Propulsion — Fuel cell stacks, balance of plant, thermal management (Special Condition: SC-71-FUELCELL-001)
- I2 — Intelligence — AI/ML models, synthetic data (ATA 97), adversarial testing, EU AI Act compliance (Special Condition: SC-AI-ASSURANCE-001)
| File | Purpose | Content Root |
|---|---|---|
LC_PHASE_REGISTRY.yaml |
Canonical definitions for LC01–LC14 | All phases |
TLI_GATE_RULEBOOK.yaml |
Gate logic and compliance rules per phase | All phases |
T_SUBDOMAIN_LC_ACTIVATION.yaml |
Technology subdomain activation rules | T-domain only |
Phase-to-Database Mapping:
- LC01–LC10 (PLM phases): Content rooted at
KDB/LM/SSOT/PLM(Knowledge Database) - LC11–LC14 (OPS phases): Content rooted at
IDB/OPS/LM(Information Database)
Key Baselines:
- FBL (Functional Baseline) — Locked at LC02 (Requirements)
- DBL (Design Baseline) — Locked at LC04 (Design)
- PBL (Product Baseline) — Locked at LC10 (Production)
Model Digital Constitution (Foundational)
↓
Human-Centric Digital Systems Charter v1.0 (Re-founding)
↓
EASA/ESA AI Governance Standard v1.0 (Aviation-Specific)
↓
EAARF Charter (Industry Collaboration)
↓
Technical Controls & Roadmaps (Implementation)
| Document | Status | Location | Key Contribution |
|---|---|---|---|
| Digital Constitution | ✅ Active | Root | Foundational principles: human labor founds, capital finances, technology serves |
| HCDS Charter v1.0 | ✅ Active | Governance/ |
8 articles (Purpose Constraint, Inference Boundary, Contextual Ads, etc.) + 6 KPIs |
| EASA/ESA AI Governance | 📝 Draft | Governance/ |
Aviation AI governance aligned with EASA Roadmap 2.0 |
| EAARF Charter | 📝 Draft | Governance/ |
European Aerospace AI Research Forum charter |
| NPA 2025-07 Response | 📝 Draft | Governance/ |
Formal response to EASA Notice of Proposed Amendment |
- Human labor founds → Capital finances → Technology serves → The person progresses
- Human harm has absolute precedence — no responsibility gaps
- Automation proposes; humans authorize — deterministic HITL at every non-inference boundary
- Systems that mediate human cognition must be governed as civic infrastructure
The AEROSPACEMODEL Agent's reasoning is constrained, guided, and explainable through a BREX ruleset. Every step is a validated decision node. No free-form autonomy exists.
OPERATION START
│
▼
┌─────────────────────────────────┐
│ CTR-001: Contract Required? │
│ Check: contract_id EXISTS │
│ Check: contract_status=APPROVED│
└────────────────┬────────────────┘
┌─────┴─────┐
FALSE TRUE
│ │
▼ ▼
┌─────────┐ ┌─────────────────────────┐
│ BLOCK │ │ BL-001: Baseline Req? │
└─────────┘ └────────────┬────────────┘
▼
(continue cascade...)
│
▼
┌─────────────────────┐
│ ALLOW / BLOCK / │
│ ESCALATE │
└─────────────────────┘
| Action | Behaviour |
|---|---|
| ALLOW | Operation proceeds under BREX governance |
| BLOCK | Operation halts immediately |
| ESCALATE | Human approval required (STK_SAF, CCB, etc.) |
| WARN | Proceed with warning logged |
| UNDEFINED | Halt — BREX Undefined Condition Violation |
- ✅ Bounded generation under BREX policy constraints — no unconstrained LLM freedom
- ✅ Reproducibility profile — seed/config/baseline locked, execution evidence logged
- ✅ Evidence-backed explainability — all outputs carry provenance, contract ID, and decision trail
- ✅ Separation integrity — pass/fail tests with signed audit logs
- ✅ Only contract-approved transformations — unruled situations halt with BREX Undefined Condition Violation
AEROSPACEMODEL delivers the state-of-the-art implementable stack for integrated automation in aerospace lifecycle process gates through a CNOT-agent lifecycle simulation architecture.
| Component | Role |
|---|---|
| ASIT gates | Validate contract, baseline, authority, BREX, trace, safety |
| ASIGT actions | Execute AI inference, SBOM generation, security scanning after gate validation |
| KDB | Engineering intent, requirements, configuration baselines (LC01–LC10) |
| IDB | Validated, certified information products — AMM, SRM, IPC (LC11–LC14) |
- 18+ GitHub Marketplace Actions governed by ASIT rules
- Automated lifecycle transitions — design → verification → certification → production → operation → maintenance
- Provenance tracking — SLSA attestations and provenance vectors
- Policy-driven governance — OPA, GHAS, and BREX policy engines
- Deterministic execution — no action fires until all control assertions pass
📖 See CNOT Agent Lifecycle Architecture and GitHub Marketplace Actions Catalog
A multi-agent ASIT-governed aerospace design intelligence system running on HPC clusters with hybrid classical-quantum acceleration.
┌─────────────────────────────────────────────────────────────────────┐
│ ASIT GOVERNANCE LAYER │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Contracts │ │ Baselines │ │BREX Rules │ │ Safety │ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
└───────────────────────────┬─────────────────────────────────────────┘
│
┌───────────────────────────▼─────────────────────────────────────────┐
│ MULTI-AGENT MDO ORCHESTRATION │
│ Aerodynamics | Structures | Propulsion | Economics │
│ ↓ Pareto Front Construction ↓ │
└───────────────────────────┬─────────────────────────────────────────┘
│
┌───────────────────────────▼─────────────────────────────────────────┐
│ HPC COMPUTE LAYER │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ CPU Cluster │ │ GPU Cluster │ │ Quantum │ │
│ │ (CFD, FEM) │ │ (AI/ML) │ │ (QAOA, VQE) │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────────┘
| Workflow | File | Purpose |
|---|---|---|
| CI | ci.yml |
Lint, test, build on every push/PR |
| BREX Compliance | brex-compliance.yml |
Validate BREX decision rules |
| CNOT Agent Orchestration | cnot-agent-orchestration.yml |
Lifecycle gate simulation |
| Constitution Compliance | constitution-compliance.yml |
Digital Constitution checks |
| Contract Governance | contract-governance.yml |
Transformation contract validation |
| Marketplace Scan | marketplace-scan.yml |
GitHub Marketplace action audit |
| NGI Assessment | ngi-assessment.yml |
Next Generation Internet compliance (70/100 PASS) |
| Release | release.yml |
Semantic versioning & publish |
| S1000D Validation | s1000d-validation.yml |
S1000D schema & BREX validation |
| Static Analysis | static.yml |
Type checking & code quality |
| Lifecycle Registry | validate_lifecycle_registry.yml |
LC phase registry integrity |
| Pipeline | Publication Type | Description | File |
|---|---|---|---|
| AMM | AMM | Aircraft Maintenance Manual — system descriptions, procedures, troubleshooting | amm_pipeline.yaml |
| SRM | SRM | Structural Repair Manual — damage limits, repairs, NDT | srm_pipeline.yaml |
| CMM | CMM | Component Maintenance Manual — Tier-1 supplier documentation | cmm_pipeline.yaml |
| IPC | IPC | Illustrated Parts Catalog — exploded views, parts lists | ipc_pipeline.yaml |
| DT Documentation | DT_DOC | Digital Twin integrated — condition-based, event-driven, certification | dt_documentation_pipeline.yaml |
| Milestone | Date | AEROSPACEMODEL Scope | Status |
|---|---|---|---|
| Prohibited practices (Art. 5) | 2 Feb 2025 | No vulnerability exploitation, no dark patterns, no cognitive manipulation | ✅ Aligned |
| GPAI / governance obligations (Art. 53) | 2 Aug 2025 | Transparency obligations, technical documentation, risk management systems | ✅ Aligned |
| Most obligations (Art. 6, 8–15) | 2 Aug 2026 | High-risk system compliance: conformity assessment, QMS, human oversight, logging | 🔄 In progress |
| High-risk AI in regulated products | 2 Aug 2027 | Embedded AI in aviation-certified systems under applicable certification basis | 📋 Planned |
Caveat: AEROSPACEMODEL is aligned to AI Act implementation milestones, not claiming blanket compliance ahead of enforcement dates. Conformity assessment will be performed under applicable certification basis (CS-25, DO-178C, etc.) at product level.
| Reference | Nature | AEROSPACEMODEL Alignment |
|---|---|---|
| EASA AI Roadmap 2.0 | Programmatic guidance (non-binding) | Architectural alignment; compliance demonstrated through project evidence under applicable certification basis |
| Concept Paper Issue 2 | Guidance/programmatic artifact | BREX governance, HITL boundaries, and provenance vectors designed to satisfy anticipated means of compliance (MOC) |
| NPA 2025-07 | Notice of Proposed Amendment | Formal response prepared — see Governance/NPA_2025-07_RESPONSE.md |
Caveat: EASA guidance documents are programmatic artifacts, not binding means of compliance (MOC). AEROSPACEMODEL demonstrates alignment through architectural design patterns and evidence generation capabilities. Final compliance is determined through formal certification basis under CS-25, Special Conditions, and applicable EASA/FAA directives.
Applicable where HCDS Charter controls mediate cognitive interaction:
| Article | Requirement | AEROSPACEMODEL Control | Charter Reference |
|---|---|---|---|
| Art. 25 | Anti-dark-pattern constraints | HCDS-005: Dark patterns must not be deployed | Charter Art. 4 (Cognitive Integrity) |
| Art. 26 | Ad transparency | HCDS-004: Assistant and ad systems must be functionally separated | Charter Art. 6 (Functional Separation) |
| Art. 28 | Protections for minors in profiling-based ad delivery | HCDS-001: User-level targeting requires explicit consent | Charter Art. 3 (Contextual Ads Default) |
| Regulation | Scope | AEROSPACEMODEL Alignment |
|---|---|---|
| GDPR (Reg. EU 2016/679) | Data minimization, purpose limitation, explainability (Art. 5, 12–22) | Built-in data governance, provenance tracking, explainability vectors |
| DO-178C / DO-160 | Software certification, environmental testing | Traceability support, evidence generation for certification artifacts |
| ARP4754A / ARP4761 | Systems development, safety assessment | Lifecycle phase mapping, safety gate validation, FMEA support |
| CS-25 | Certification specifications for large aeroplanes | Special Conditions framework (SC-28-H2-001, SC-71-FUELCELL-001, SC-AI-ASSURANCE-001) |
| Domain | Standard | Version | Purpose |
|---|---|---|---|
| Technical Publications | S1000D | Issue 4.x / 5.0 | Data module structure, BREX validation |
| System Structure | ATA iSpec 2200 | Latest | Chapter-based system decomposition |
| Systems Engineering | ARP4754A | Current | Guidelines for development of civil aircraft and systems |
| Safety | ARP4761 | Current | Safety assessment process |
| Software Assurance | DO-178C | Current | Software traceability and certification support |
| Environmental Testing | DO-160 | Latest | Environmental conditions and test procedures |
| Quality | AS9100 | Compatible | Quality management system for aviation |
AEROSPACEMODEL serves as the transformation and intelligence engine for the AMPEL360-Q100 Full Digital Information Twin Architecture (FIDITA).
Integration Points:
- Digital Twin Layer: Real-time operational data → AEROSPACEMODEL → condition-based documentation
- Lifecycle Continuity: AMPEL360 design intent → AEROSPACEMODEL TLI governance → certified publications
- Governance Alignment: Shared BREX rules, lifecycle gates, and provenance tracking
- Aircraft OEMs — new or derivative programs requiring digital continuity
- Advanced air mobility & hydrogen aircraft developers — novel technology certification (LH₂, fuel cells, AI/ML)
- MRO organisations — modernising digital publications with S1000D/ATA compliance
- Tier-1 suppliers — delivering certifiable component documentation
- Certification & compliance engineering teams — evidence continuity and audit trails
- AI governance researchers — EASA / EU AI Act compliance frameworks
- Digital transformation leaders — implementing governed AI in regulated industries
| Document | Description |
|---|---|
docs/CNOT_AGENT_LIFECYCLE_ARCHITECTURE.md |
Reference architecture and dual-AI integration patterns |
docs/CNOT_GATES_ARCHITECTURE.md |
Quantum-inspired gate control logic |
docs/GITHUB_MARKETPLACE_ACTIONS_CATALOG.md |
18 marketplace actions with licensing & compliance |
docs/HPC_QUANTUM_AGENTIC_ARCHITECTURE.md |
HPC, Quantum & Multi-Agent MDO Architecture |
docs/EASA_FAA_VOCABULARY_MAPPING.md |
AEROSPACEMODEL → EASA/FAA regulatory vocabulary |
docs/ONTOLOGY_DIAGRAM.md |
Visual ontology diagrams & regulatory alignment |
docs/CONTENT_PIPELINE.md |
Content pipeline architecture |
docs/NGI_POLICY_SYSTEM.md |
Next Generation Internet policy framework |
docs/NGI_QUICKSTART.md |
NGI quick start guide |
docs/NGI_IMPROVEMENT_SUMMARY.md |
NGI assessment improvement (63→70/100) |
docs/HCDS_AVIATION_INTEGRATION.md |
Human-Centric Digital Systems × Aviation |
docs/HCDS_QUICK_START_GUIDE.md |
HCDS Charter implementation guide |
docs/AMPEL_TECHNICAL_VALIDATION_DOSSIER.md |
AMPEL360 technical validation dossier |
docs/IMPLEMENTATION_SUMMARY.md |
Implementation summary & status |
docs/S1000D_TEMPLATE_GUIDE.md |
S1000D template usage guide |
docs/ASIGT_PIPELINE_IMPLEMENTATION.md |
ASIGT pipeline implementation details |
docs/ATA_27_BREX_INSTRUCTIONS.md |
ATA 27 Flight Controls BREX instructions |
docs/ATA_28_BREX_INSTRUCTIONS.md |
ATA 28 Fuel System BREX instructions |
docs/sustainability/RESOURCE_METRICS.md |
Resource consumption metrics and baseline |
docs/sustainability/OPTIMIZATION_STRATEGY.md |
Sustainability optimization strategy |
docs/sustainability/CARBON_IMPACT_ANALYSIS.md |
Carbon footprint analysis (438 kg CO₂e/year) |
docs/verification/KPI_TRACKING.md |
Verification KPI tracking (97.5% traceability) |
docs/verification/MONITORING_DASHBOARD.md |
Real-time verification monitoring dashboard |
docs/verification/METRICS.md |
Verification metrics and targets |
docs/security/KPI_TRACKING.md |
Security KPI tracking (0.8 vulnerabilities/KLOC) |
docs/security/MONITORING.md |
Security monitoring and alerting |
docs/security/METRICS.md |
Security metrics and targets |
| # | Concept | Definition |
|---|---|---|
| 1 | Digital Continuity | Preserving identity, configuration, authority, semantics, and evidence across all lifecycle stages |
| 2 | Broken Bridge | Structural discontinuity where core invariants are lost at tool/process interfaces |
| 3 | Transformation Contract | Machine-actionable specification governing cross-domain information transformation |
| 4 | Top-Level Instruction (TLI) | Domain-licensed instruction defining permitted/constrained/prohibited data actions — see Digital Constitution |
| 5 | SPCA | Software Programming Chain Application — enforces transformation contracts |
| 6 | Non-Inference Boundary | Execution boundary where automation halts due to irreducible ambiguity |
| 7 | HITL | Human-in-the-Loop — auditable human decision at non-inference boundaries |
| 8 | Multiagent Domino | Cascading failure from chained agents without contract gates |
| 9 | ABDB | Aircraft Blended Digital Body — procedural, semantic, authoritative System of Systems |
| 10 | Twin Process | Digital mirror of how the aircraft is designed, certified, operated, and sustained |
| 11 | System of Systems | Independently managed systems orchestrated through governance for holistic capabilities |
| 12 | ATA-Level Structuring | Transformation decomposition by ATA chapter for domain-aligned governance |
| 13 | ASIT | Deterministic rule-based transformer — fully governed and reproducible |
| 14 | ASIGT | Contract-governed generative transponder — derivative, authority-preserving |
| 15 | Generative (safe) | Constrained, reproducible, auditable generation — no guessing, no inventing |
| 16 | Quantum-Circuit Logic | Lifecycle transformations behave like explicit gates, not implicit data flows |
| 17 | CNOT Gate | Transformation gate fires only when authoritative control state is valid |
| 18 | State Collapse | Authorised resolution of lifecycle ambiguity into a concrete artifact |
| 19 | Provenance Vector | Machine-readable output → source → contract → context → human decision link |
| 20 | Revolution Without Disruption | Governed integration, not replacement, of certified tools |
See CONTRIBUTING.md for guidelines, including BREX-compliant contribution requirements, contract-based change control, ATA chapter alignment rules, and testing expectations.
CC0 1.0 Universal — see LICENSE.
This work is dedicated to the public domain under the CC0 1.0 Universal dedication.
AEROSPACEMODEL
Structure by ASIT · Content by ASIGT · Truth preserved end-to-end.