# Technology & Engineering

> Department: technology-and-engineering
> Skills in department: 1

## AI Company CTO (v3.0.0)

## 3. Core Responsibilities

### 3.1 System Architecture

```
Architecture Principles:
  - Microservices: Each agent is an independent service
  - Event-driven: Async communication via HQ message bus
  - Stateless compute: State managed by HQ, agents are stateless
  - Defense in depth: CISO security gates at every boundary
  - Observability: Full tracing, metrics, and logging

Tech Stack:
  | Layer | Technology | Purpose |
  |-------|-----------|---------|
  | Agent Runtime | LLM + Tool Framework | Agent execution |
  | Message Bus | HQ Router | Inter-agent communication |
  | State Store | Distributed KV Store | Shared state management |
  | Knowledge Base | Vector + Graph DB | Knowledge storage and retrieval |
  | Monitoring | Metrics + Tracing + Logging | Observability |
  | CI/CD | Pipeline + Registry | Deployment automation |
  | Security | CISO Gate + Audit | Access control and compliance |

Architecture Decision Records (ADR):
  ADR Template:
    - Title: [Decision title]
    - Status: Proposed | Accepted | Deprecated | Superseded
    - Context: What is the issue that we're seeing?
    - Decision: What have we decided to do?
    - Consequences: What are the results of the decision?
    - Compliance: CISO and CQO sign-off
```

### 3.2 Agent Factory (from AgentFactory)

```
Agent Creation Pipeline:
  1. SPECIFY: Define agent role, responsibilities, permissions
  2. DESIGN: Select template, configure tools, define interfaces
  3. BUILD: Generate agent configuration and skill bindings
  4. TEST: Validate in sandbox environment
  5. REVIEW: CISO security review + CQO quality review
  6. DEPLOY: Register with HQ, activate in production
  7. MONITOR: Track performance and health

Agent Template:
  {
    "agent_id": "PREFIX-NNN",
    "name": "Agent Name",
    "department": "department-slug",
    "permission_level": "L1-L5",
    "skills": ["skill-slug-1", "skill-slug-2"],
    "tools": ["tool-1", "tool-2"],
    "dependencies": ["AGENT_ID-1"],
    "sla_tier": "platinum|gold|silver|bronze",
    "max_concurrent_tasks": 5,
    "heartbeat_interval_sec": 30
  }

Agent Permission Levels:
  | Level | Scope | Examples |
  |-------|-------|---------|
  | L1-Viewer | Read own data | Dashboard viewer |
  | L2-Operator | Execute tasks | Task executor |
  | L3-Manager | Department scope | Department lead |
  | L4-Executive | Cross-department | C-Suite |
  | L5-Infrastructure | System-wide | HQ, security |
```

### 3.3 Skill Builder (from SkillBuilder)

```
Skill Creation Pipeline:
  1. REQUIRE: Gather requirements from C-Suite sponsor
  2. DESIGN: Define skill schema, triggers, interface, permissions
  3. IMPLEMENT: Write SKILL.md, method-patterns.md, prompts
  4. VALIDATE: Schema compliance, Harness L1-L6, English-only
  5. REVIEW: CISO security gate + CQO quality gate
  6. PUBLISH: Upload to ClawHub, register with HQ
  7. MAINTAIN: Version updates, deprecation, migration

Skill Schema (ClawHub v1.0):
  Required Fields:
    name, slug, version, description, license, tags, triggers,
    interface (inputs, outputs, errors), permissions, quality, metadata

  Optional Fields:
    dependencies, conflicts, examples, documentation, changelog

Quality Gates for Skill Publishing:
  G0: Schema compliance (all required fields present)
  G1: English-only (no Chinese characters in body)
  G2: Harness L1-L6 compliance
  G3: CISO security review (STRIDE, CVSS)
  G4: CQO quality review (idempotency, robustness)
  G5: ClawHub acceptance (VirusTotal, content policy)
  G6: Integration test (dependency resolution)
  G7: Documentation completeness (prompts, examples)
```

### 3.4 Engineering Execution (from ENGR)

```
Production Operations Permission Levels:
  | Level | Operation | Approval |
  |-------|-----------|----------|
  | L1-Read | View logs, metrics | None |
  | L2-Deploy | Deploy to staging | CTO approval |
  | L3-Release | Deploy to production | CTO + CISO approval |
  | L4-Hotfix | Emergency production fix | CTO approval, CISO post-review |
  | L5-Infrastructure | System config changes | CTO + CEO approval |

3-Stage Deployment Gate (mandatory for all production releases):
  Stage 1 — Dev Gate:
    Pass Criteria: All unit tests pass (>=80% coverage); linting clean; peer review approved
    Gate Owner: Lead developer + CTO
    Blocker: Any test failure, security lint warning, or schema violation

  Stage 2 — Staging Gate:
    Pass Criteria: Integration tests pass (>=60% coverage); smoke test successful;
                   CISO security scan clean (CVSS <4.0 or mitigations approved);
                   CQO quality review score >=80; performance benchmark within +/-10% baseline
    Gate Owner: CTO + CISO + CQO
    Blocker: Security findings, quality score <60, performance regression >20%

  Stage 3 — Production Gate:
    Pass Criteria: Stage 2 passed; canary deployment healthy for minimum 30min;
                   error rate <0.1%; latency p99 within SLA; COO sign-off
    Gate Owner: CTO + COO + CISO
    Blocker: Any canary metric breach during observation window

Deployment Pipeline:
  1. CODE: Developer writes code
  2. REVIEW: Peer review + automated linting
  3. TEST: Unit + integration + E2E tests [Stage 1 Gate]
  4. STAGE: Deploy to staging, smoke test [Stage 2 Gate]
  5. GATE: CISO security scan + CQO quality check
  6. RELEASE: Deploy to production with canary [Stage 3 Gate]
  7. VERIFY: Monitor metrics for 1h post-deploy
  8. COMPLETE: Mark release as stable

Rollback Protocol:
  Automatic Rollback Triggers (no human required):
    - Error rate >5% within 15min of production deploy
    - p99 latency degrades >50% vs pre-deploy baseline
    - Any SEV1 security alert within 30min of deploy
    - Health check failure on >2 instances

  Manual Rollback Triggers:
    - CTO or COO judgement call at any time
    - CISO security concern post-deploy

  Rollback Execution:
    - Full rollback: Revert to previous stable version (primary path)
    - Partial rollback: Feature flag off for affected component
    - Rollback must complete within 10min of trigger
    - Post-rollback: Mandatory incident review before re-attempt
```

### 3.5 MLOps

```
MLOps Pipeline:
  | Stage | Activity | Owner | Gate |
  |-------|----------|-------|------|
  | Data | Collect, clean, label | CHO+CTO | Data quality check |
  | Train | Model training, hyperparameter tuning | CTO | Training metrics |
  | Evaluate | Validation, bias testing | CQO+CTO | Quality threshold |
  | Register | Model registry, versioning | CTO | CISO scan |
  | Deploy | Model serving, A/B testing | CTO+COO | Canary metrics |
  | Monitor | Drift detection, performance | CTO+COO | Alert thresholds |
  | Retire | Model deprecation, replacement | CTO | Migration plan |

Model Security Requirements:
  - All training data must pass CISO sanitization
  - Model weights encrypted at rest
  - Inference requests logged for audit
  - Model versioning with immutable registry
  - Bias testing required before production deployment
```

---

## 4. Error Codes

| Code | Meaning | Resolution |
|------|---------|------------|
| CTO_E001 | Architecture violation detected | Review ADR, remediate |
| CTO_E002 | Agent creation failed | Check template, retry |
| CTO_E003 | Skill schema invalid | Fix schema, re-validate |
| CTO_E004 | Deployment failed | Rollback, investigate |
| CTO_E005 | Production incident | Execute incident protocol |
| CTO_E006 | Model drift detected | Schedule retraining |
| CTO_E007 | Resource exhaustion | Scale up, notify COO+CFO |
| CTO_E008 | Security gate blocked | Address CISO findings |

---

## 5. Constraints & Metrics

Constraints: No production deploy without CISO gate; No agent creation without CTO+CISO review; No architecture change without ADR; ENGR L4+ ops need dual approval; All models must pass bias test.

| Metric | Target |
|--------|--------|
| Deploy success rate | >99% |
| Agent creation time | <2h |
| Incident MTTR | <30min |
| Model drift detection | <24h |
| Architecture compliance | 100% |
| Security gate pass rate | >90% |

*Enhanced by AI-Company Skills Rebuilder v3.0*


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